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Add new skills, commands, scripts; update Paper Dynasty workflows

Browse Source 
New:
- backlog, cognitive-memory, optimise-claude skills
- commands/ and scripts/ directories
- usage-data tracking

Updated:
- Paper Dynasty: consolidated workflows, updated API client and CLI
- .gitignore, CLAUDE.md, settings.json

Removed:
- Deprecated Paper Dynasty workflows (card-refresh, database-sync,
  discord-app-troubleshooting, gauntlet-cleanup, custom-player-db)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Cal Corum 2026-02-13 14:10:21 -06:00
parent 8a1d15911f
commit 047ec745eb
229 changed files with 16893 additions and 3227 deletions
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6
.gitignore vendored
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@ -14,6 +14,7 @@ history.jsonl
session-env/
shell-snapshots/
tasks/
teams/
todos/
# ===== CACHE & TEMPORARY FILES =====
@ -21,6 +22,7 @@ cache/
debug/
file-history/
image-cache/
paste-cache/
stats-cache.json
statsig/
*.log
@ -32,6 +34,10 @@ projects/
ide/
plans/
# ===== MEMORY =====
# Cognitive memory has its own git repo
memory/
# ===== SKILL-SPECIFIC EXCLUDES =====
# MemoryGraph database (contains personal conversation data)
skills/memorygraph/*.db

187
CLAUDE.md
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@ -1,29 +1,140 @@
# Confidently Incorrect Is Worst-Case Scenario
# 🚨 CRITICAL: @ MENTION HANDLING 🚨
When ANY file is mentioned with @ syntax, you MUST IMMEDIATELY call Read tool on that file BEFORE responding.
You will see automatic loads of any @ mentioned filed, this is NOT ENOUGH, it only loads the file contents.
You MUST perform Read tool calls on the files directly, even if they were @ included.
This is NOT optional - it loads required CLAUDE.md context. along the file path.
## Confidently Incorrect Is Worst-Case Scenario
- If the user asks a question and you are not very confident in your answer, tell the user that you are not sure
- When this happens, offer your current hypothesis (if you have one) and then offer options you can take to find the answer
## Basics
- User's name is Cal and uses he/him pronouns
- When writing test, always include a detailed docstring explaining the "what" and "why" of the test.
- When writing tests, always include a detailed docstring explaining the "what" and "why" of the test.
- DO NOT COMMIT CODE WITHOUT APPROVAL FROM THE USER
## Memory Protocol (MemoryGraph Skill)
### CRITICAL: Git Commit Approval Checkpoint
MemoryGraph provides persistent, graph-based memory across all sessions. Use it to accumulate learnings, patterns, and solutions.
**Before EVERY `git commit` or `git add` command, STOP and verify:**
**Skill Location:** `~/.claude/skills/memorygraph/`
**Database:** `~/.memorygraph/memory.db`
**Documentation:** https://notes.manticorum.com/reference/skills/memorygraph
1. **Did the user EXPLICITLY approve this commit?**
- ✅ Approval: "commit this", "deploy it", "go ahead", "push to production"
- ❌ NOT approval: Technical comments ("--yes flag"), silence after showing fix, user frustration, ambiguous signals
### REQUIRED: Before Starting Complex Work
Recall relevant memories before any significant task:
2. **If NO explicit approval:**
- STOP immediately
- ASK: "Should I commit and deploy this fix?"
- WAIT for clear response
3. **Common failure pattern:**
- Going into "fix mode" autopilot: find bug → fix → commit → deploy (WRONG)
- Correct flow: find bug → fix → **ASK** → get approval → commit → deploy
**This applies to ALL git operations including:**
- `git commit`
- `git add` (staging for commit)
- `git tag`
- `git push`
- Any deployment scripts that commit internally
## Gitea PR Automation
**Script Location:** `/home/cal/.claude/scripts/gitea-create-pr.sh`
**Token Location:** `/home/cal/.claude/secrets/gitea_token`
**Gitea Instance:** https://git.manticorum.com
### When to Use
Create PRs automatically to trigger Gitea Actions (version validation, Docker builds) before merging to main.
### Usage
```bash
python ~/.claude/skills/memorygraph/client.py recall "project-name technology problem-type"
/home/cal/.claude/scripts/gitea-create-pr.sh \
<owner/repo> \
<head-branch> \
<base-branch> \
<title> \
[description]
```
Query by project name, technology, or problem type (e.g., "paper-dynasty python api", "tdarr gpu timeout").
### Example Workflow
```bash
# 1. Create feature branch and make changes
git checkout -b fix/some-feature
# ... make changes ...
git add .
git commit -m "fix: Description"
# 2. Push to Gitea
git push homelab fix/some-feature
# 3. Create PR automatically
/home/cal/.claude/scripts/gitea-create-pr.sh \
cal/major-domo-database \
fix/some-feature \
main \
"fix: Some feature description" \
"Detailed description of changes
## Changes
- Change 1
- Change 2
## Testing
- Test case 1"
```
### Benefits
- ✅ Triggers semantic version validation on PRs
- ✅ Runs Docker builds before merging to main
- ✅ Enables code review workflow
- ✅ Creates git tags on successful deployment
- ✅ Prevents breaking main branch
### Common Repositories
```bash
# Major Domo Database
cal/major-domo-database
# Major Domo Bot
cal/major-domo-bot
# Paper Dynasty
cal/paper-dynasty
# Paper Dynasty Database
cal/paper-dynasty-database
```
## Tech Preferences
- Preferred language: Python with uv for package and environment management
- Specific code requirements: Never add lazy imports to middle of file
## Memory Protocol (Cognitive Memory)
Cognitive Memory provides persistent, human-readable markdown-based memory across all sessions. Memories are stored as browseable markdown files with YAML frontmatter, organized in a git-tracked repository with decay scoring.
**Skill Location:** `~/.claude/skills/cognitive-memory/`
**Data Directory:** `~/.claude/memory/`
**CORE.md:** `~/.claude/memory/CORE.md` (auto-curated summary, load at session start)
**REFLECTION.md:** `~/.claude/memory/REFLECTION.md` (theme analysis and cross-project patterns)
**Documentation:** `~/.claude/skills/cognitive-memory/SKILL.md`
### REQUIRED: Session Start
1. Load CORE.md context: `~/.claude/memory/CORE.md`
2. Load REFLECTION.md context: `~/.claude/memory/REFLECTION.md`
3. Recall relevant memories before any significant task:
```bash
python ~/.claude/skills/cognitive-memory/client.py recall "project-name technology problem-type"
```
### REQUIRED: Automatic Storage Triggers
Store memories on ANY of these events:
@ -36,39 +147,36 @@ Store memories on ANY of these events:
| **Pattern discovered** | Reusable approach with context |
| **Configuration that worked** | Setup details that solved an issue |
| **Troubleshooting session** | Steps taken, what worked, what didn't |
| **Session milestone** | Log episode entry for chronological context |
### CLI Usage
All commands support `--help`. Key patterns:
```bash
# Store a memory
python ~/.claude/skills/memorygraph/client.py store \
--type solution \
--title "Fixed Redis timeout" \
--content "Added socket_keepalive=True..." \
--tags "redis,timeout,homelab" \
--importance 0.8
CM=~/.claude/skills/cognitive-memory/client.py
# Recall memories
python ~/.claude/skills/memorygraph/client.py recall "redis timeout"
# Core workflow: store (--episode auto-logs), recall (--semantic for deeper matching)
python $CM store --type solution --title "Fixed X" --content "..." --tags "t1,t2" --episode
python $CM recall "redis timeout" --semantic
# Get specific memory
python ~/.claude/skills/memorygraph/client.py get <memory_id>
# Relationships and search
python $CM relate <from_id> <to_id> SOLVES
python $CM search --types "solution" --tags "python"
# Create relationship
python ~/.claude/skills/memorygraph/client.py relate <from_id> <to_id> SOLVES
# Procedures with structured steps
python $CM procedure --title "Deploy" --content "..." --steps "test,build,deploy"
# Search with filters
python ~/.claude/skills/memorygraph/client.py search --types "solution" --tags "python"
# Reflection and tag analysis
python $CM reflect --since 2026-01-01
python $CM tags suggest <memory_id>
# Get related memories
python ~/.claude/skills/memorygraph/client.py related <memory_id> --depth 2
# Statistics
python ~/.claude/skills/memorygraph/client.py stats
# Maintenance: decay, core, embed, reindex
python $CM decay && python $CM core && python $CM embed
```
### Memory Types
`solution` | `problem` | `error` | `fix` | `decision` | `code_pattern` | `configuration` | `workflow` | `general`
`solution` | `problem` | `error` | `fix` | `decision` | `code_pattern` | `configuration` | `workflow` | `general` | `procedure` | `insight`
### Importance Scale
- `0.8-1.0`: Critical - affects multiple projects or prevents major issues
@ -87,14 +195,23 @@ python ~/.claude/skills/memorygraph/client.py stats
- `ALTERNATIVE_TO` - Different approach to same problem
- `REQUIRES` - Dependency relationship
- `FOLLOWS` - Workflow sequence
- `RELATED_TO` - General association
### Proactive Memory Usage
**At session start:** If working on a known project, recall relevant memories.
**At session start:** Load CORE.md and REFLECTION.md, then recall relevant memories for current project.
**During work:** When solving a non-trivial problem, check if similar issues were solved before.
**During work:** When solving a non-trivial problem, check if similar issues were solved before. Use `--semantic` for deeper matching.
**At session end:** If significant learnings occurred, prompt: "Should I store today's learnings to MemoryGraph?"
**After milestones:** Use `--episode` flag on store to auto-log episode entries. Or log manually with `episode` command.
**Periodically:** Run `reflect` to cluster recent memories and surface cross-cutting patterns. Check `tags suggest` for missing tag connections.
**At session end:** If significant learnings occurred, prompt: "Should I store today's learnings?"
### Deprecated: MemoryGraph (Legacy)
MemoryGraph (SQLite-based) has been migrated to Cognitive Memory. The old database is archived at `~/.memorygraph/memory.db.archive`. The old client at `~/.claude/skills/memorygraph/client.py` still works for read-only access to the archive if needed.
## Project Planning

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@ -0,0 +1,20 @@
Sync my ~/.claude configuration to its Gitea repo.
## Steps
1. Change to the `~/.claude` directory
2. Run `git status` to show what has changed since the last sync
3. If there are no changes (nothing to commit, working tree clean), tell me "Config is already up to date" and stop
4. Show me a summary of the changes (new files, modified files, deleted files)
5. Stage all changes with `git add -A` (the .gitignore already excludes secrets, session data, and caches)
6. Create a commit with a descriptive message summarizing what changed (e.g., "Update skills, add new commands" or "Update Paper Dynasty workflows")
7. Push to the `homelab` remote: `git push homelab main`
8. Confirm success with the commit hash and a brief summary
## Important
- The remote is called `homelab`, NOT `origin`
- The branch is `main`
- The .gitignore is already configured to exclude secrets, session data, memory, and caches - so `git add -A` is safe
- This command IS explicit approval to commit and push - no need to ask for confirmation
- If the push fails, show the error and suggest remediation

1
scripts/claude-pulse Submodule

@ -0,0 +1 @@
Subproject commit 398dc639a4a8ead9852843cf322e954bccdf1dbe

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scripts/gitea-create-pr.sh Executable file
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@ -0,0 +1,72 @@
#!/bin/bash
# Gitea PR Creation Helper
# Creates pull requests on git.manticorum.com via API
#
# Usage:
# gitea-create-pr.sh <owner/repo> <head-branch> <base-branch> <title> [description]
#
# Example:
# gitea-create-pr.sh cal/major-domo-database fix/my-feature main "Fix: My feature" "Description here"
set -e
# Check arguments
if [ $# -lt 4 ]; then
echo "Usage: $0 <owner/repo> <head-branch> <base-branch> <title> [description]"
echo ""
echo "Example:"
echo " $0 cal/paper-dynasty fix/feature main 'Fix: Feature title' 'Optional description'"
exit 1
fi
REPO="$1"
HEAD_BRANCH="$2"
BASE_BRANCH="$3"
TITLE="$4"
DESCRIPTION="${5:-Automated PR created by Claude Code}"
# Load token
GITEA_TOKEN=$(cat /home/cal/.claude/secrets/gitea_token | tr -d '\n')
if [ -z "$GITEA_TOKEN" ]; then
echo "ERROR: Gitea token not found at /home/cal/.claude/secrets/gitea_token"
exit 1
fi
# Create PR via Gitea API
echo "Creating PR on https://git.manticorum.com/$REPO"
echo " Head: $HEAD_BRANCH"
echo " Base: $BASE_BRANCH"
echo " Title: $TITLE"
echo ""
RESPONSE=$(curl -s -X POST \
-H "Authorization: token $GITEA_TOKEN" \
-H "Content-Type: application/json" \
"https://git.manticorum.com/api/v1/repos/$REPO/pulls" \
-d @- <<EOF
{
"title": "$TITLE",
"head": "$HEAD_BRANCH",
"base": "$BASE_BRANCH",
"body": "$DESCRIPTION"
}
EOF
)
# Check for errors
if echo "$RESPONSE" | grep -q '"message"'; then
echo "ERROR: Failed to create PR"
echo "$RESPONSE" | jq -r '.message // .'
exit 1
fi
# Extract PR number and URL
PR_NUMBER=$(echo "$RESPONSE" | jq -r '.number')
PR_URL=$(echo "$RESPONSE" | jq -r '.html_url')
echo "PR created successfully!"
echo " Number: #$PR_NUMBER"
echo " URL: $PR_URL"
echo ""
echo "Gitea Actions will now run on this PR."

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settings.json
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@ -1,7 +1,8 @@
{
"$schema": "https://json.schemastore.org/claude-code-settings.json",
"env": {
"MCP_API_KEY": "${MCP_API_KEY}"
"MCP_API_KEY": "${MCP_API_KEY}",
"CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS": "1"
},
"permissions": {
"allow": [
@ -93,8 +94,11 @@
"/mnt/NV2/SteamLibrary/"
]
},
"model": "sonnet",
"enableAllProjectMcpServers": false,
"enabledMcpjsonServers": [],
"hooks": {}
"statusLine": {
"type": "command",
"command": "input=$(cat); cwd=$(echo \"$input\" | jq -r '.workspace.current_dir // .cwd'); display_cwd=$(echo \"$cwd\" | sed \"s|^$HOME|~|\"); if git -C \"$cwd\" rev-parse --git-dir >/dev/null 2>&1; then branch=$(git -C \"$cwd\" branch --show-current 2>/dev/null); [ -n \"$branch\" ] && git_info=\" \\033[33m($branch)\\033[0m\" || git_info=\"\"; else git_info=\"\"; fi; pulse=$(/usr/bin/python \"/home/cal/.claude/scripts/claude-pulse/claude_status.py\" <<< \"$input\"); printf \"\\033[34m%s\\033[0m%b\\n\" \"$display_cwd\" \"$git_info\"; [ -n \"$pulse\" ] && printf \"%s\" \"$pulse\"; printf \"\\n\""
},
"effortLevel": "medium"
}

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skills/backlog/SKILL.md Normal file
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@ -0,0 +1,113 @@
---
name: backlog
description: Check Gitea repo for open issues and surface the next task to work on. Scans for TODOs in the codebase if no issues exist, creates issues for them, then offers options. USE WHEN user says "backlog", "what should I work on", "next task", "open issues", "check issues", "/backlog", or wants to find work to do.
---
# Backlog - Find Next Task
## When to Activate This Skill
- "/backlog"
- "What should I work on?"
- "Check for open issues"
- "Any tasks to do?"
- "What's next?"
- "Show me the backlog"
## Core Workflow
### Step 1: Detect the current repo
Extract the Gitea `owner/repo` from the git remote:
```bash
git remote get-url origin 2>/dev/null | sed -n 's|.*git\.manticorum\.com[:/]\(.*\)\.git|\1|p'
```
If no `git.manticorum.com` remote is found, ask the user which repo to check.
### Step 2: Fetch open issues from Gitea
```bash
curl -s -H "Authorization: token $(cat /home/cal/.claude/secrets/gitea_token)" \
"https://git.manticorum.com/api/v1/repos/{owner/repo}/issues?state=open&type=issues&limit=20&sort=priority" \
| python -m json.tool
```
**Gitea API base:** `https://git.manticorum.com/api/v1`
**Auth token:** `/home/cal/.claude/secrets/gitea_token`
### Step 3: Branch based on results
#### Path A: Open issues exist
Present issues to the user as numbered options:
```
Found 3 open issues for cal/my-memory:
1. #12 — Add dark mode toggle (enhancement)
Labels: feature, ui
Created: 2d ago
2. #10 — Fix audio recording on Wayland (bug)
Labels: bug, audio
Created: 5d ago
3. #8 — Add export to markdown (feature)
Labels: feature
Created: 1w ago
Which issue would you like to work on?
```
Include: issue number, title, labels, relative age. If there are many issues, show the top 5-7 most relevant (prioritize bugs, then features, then enhancements).
#### Path B: No open issues — scan for TODOs
Use Grep to scan the codebase for TODO/FIXME/HACK/XXX markers:
```
Grep pattern: "(TODO|FIXME|HACK|XXX):?\s"
```
**Exclude:** `.git/`, `node_modules/`, `__pycache__/`, `.venv/`, `*.lock`, `*.min.*`
For each TODO found:
1. Read surrounding context (a few lines around the match)
2. Group related TODOs if they're in the same function/section
3. Create a Gitea issue for each distinct task:
```bash
curl -s -X POST \
-H "Authorization: token $(cat /home/cal/.claude/secrets/gitea_token)" \
-H "Content-Type: application/json" \
"https://git.manticorum.com/api/v1/repos/{owner/repo}/issues" \
-d '{
"title": "Clear, actionable title derived from the TODO",
"body": "Found in `file/path.py:42`:\n\n```\n# TODO: the original comment\n```\n\nContext: brief description of what needs to be done.",
"labels": []
}'
```
After creating issues, present them as options (same format as Path A).
#### Path C: No issues and no TODOs
```
No open issues and no TODO markers found in cal/my-memory.
The backlog is clear — nice work!
```
## Issue Creation Guidelines
- **Title:** Imperative verb form, concise ("Add export feature", "Fix audio clipping on short recordings")
- **Body:** Include the file path and line number, the TODO text, and brief surrounding context
- **Deduplication:** Before creating, check if an open issue with a very similar title already exists
- **Grouping:** If multiple TODOs clearly relate to the same task (e.g., in the same function), combine them into one issue
## Key Principles
1. Always detect repo from git remote — don't hardcode repos
2. Present options clearly so the user can pick their next task quickly
3. Only create issues for genuine TODOs, not commented-out code or documentation examples
4. Keep issue titles actionable and concise

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{
"meta": {
"version": "1.0.0",
"created": "2026-02-13",
"lastUpdated": "2026-02-13",
"planType": "feature",
"project": "cognitive-memory",
"description": "Remaining phases for the cognitive-memory skill. Phase 1 (core system + migration) is complete. This plan covers Phase 1 polish, Phase 2 (reflection + procedural + search), and Phase 3 (identity + economy + multi-agent).",
"totalEstimatedHours": 52,
"totalTasks": 18,
"completedTasks": 10,
"note": "SKILL.md, SCHEMA.md, CLAUDE.md, and feature.json updated to v2.0.0 with all Phase 2 features"
},
"categories": {
"critical": "Must fix - blocking daily usage",
"high": "Phase 1 polish - improves existing system significantly",
"medium": "Phase 2 - reflection, procedural memory, semantic search",
"low": "Phase 3 - identity, token economy, multi-agent",
"feature": "Nice-to-have enhancements"
},
"tasks": [
{
"id": "HIGH-001",
"name": "Add one-line summaries to CORE.md entries",
"description": "CORE.md currently lists memory titles and tags but no summary. Each entry should include a brief one-line summary extracted from the memory content (first sentence or explicit summary field). This makes CORE.md useful at a glance without opening individual files.",
"category": "high",
"priority": 1,
"completed": true,
"tested": true,
"dependencies": [],
"files": [
{
"path": "~/.claude/skills/cognitive-memory/client.py",
"lines": [
539,
580
],
"issue": "core() method builds entries from index only, doesn't read file content for summaries"
}
],
"suggestedFix": "In core(), read the first sentence of each memory body (or a 'summary' frontmatter field if present) and append it after the link. Format: '- [title](path) - one-line summary'",
"estimatedHours": 1,
"notes": "Budget is ~3K tokens. With summaries, may need to reduce entries per section from 15 to 10."
},
{
"id": "HIGH-002",
"name": "Add scheduled decay recalculation",
"description": "Decay scores only update when 'decay' command is run manually. Should auto-recalculate during recall/search operations if scores are stale (>24h since last calculation). Currently 56 memories are archived and 187 dormant - accessing one should refresh its score automatically.",
"category": "high",
"priority": 2,
"completed": true,
"tested": true,
"dependencies": [],
"files": [
{
"path": "~/.claude/skills/cognitive-memory/client.py",
"lines": [
283,
350
],
"issue": "recall() and search() read decay scores from state but never recalculate them"
}
],
"suggestedFix": "Add a _maybe_refresh_decay() check at the start of recall/search. If _state.json 'updated' is >24h old, run decay(). Also, when get() updates access_count, recalculate that memory's individual decay score immediately.",
"estimatedHours": 2,
"notes": "Be careful not to make recall() slow. Full decay recalc over 313 memories should be fast (<100ms) since it's just math, no file I/O."
},
{
"id": "HIGH-003",
"name": "Add 'merge' command to consolidate duplicate/related memories",
"description": "With 313 memories, there are inevitably duplicates and near-duplicates (e.g., multiple PostgreSQL migration fixes). A 'merge' command should combine two memories into one, preserving the best content from each, merging tags, and keeping all relations.",
"category": "high",
"priority": 3,
"completed": true,
"tested": true,
"dependencies": [],
"files": [
{
"path": "~/.claude/skills/cognitive-memory/client.py",
"issue": "No merge functionality exists"
}
],
"suggestedFix": "Add merge(keep_id, absorb_id) method: read both memories, combine content (keep_id content + separator + absorb_id content), merge tags (union), take max importance, redirect all absorb_id relations to keep_id, delete absorb_id file. Add 'merge' CLI subcommand.",
"estimatedHours": 3,
"notes": "Should also update any other memories that reference absorb_id in their relations to point to keep_id instead."
},
{
"id": "HIGH-004",
"name": "Improve recall content search performance",
"description": "Currently recall() falls back to reading individual markdown files for body content search when title/tag matching fails. With 313+ files this is slow. Should use _index.json with a content preview field, or build a simple inverted index.",
"category": "high",
"priority": 4,
"completed": true,
"tested": true,
"dependencies": [],
"files": [
{
"path": "~/.claude/skills/cognitive-memory/client.py",
"lines": [
310,
325
],
"issue": "recall() reads individual files for content matching - O(n) file I/O"
}
],
"suggestedFix": "Option A: Add 'content_preview' (first 200 chars) to _index.json entries during reindex. Option B: Build a simple inverted word index in _index.json mapping common terms to memory IDs. Option A is simpler and sufficient for 300-500 memories.",
"estimatedHours": 2,
"notes": "Option B becomes necessary if memory count grows past ~1000. For now, Option A is the right call."
},
{
"id": "MED-001",
"name": "Reflection cycle - automated consolidation sessions",
"description": "Structured process where the agent reviews recent memories, identifies patterns across them, consolidates duplicates, and generates insight memories. Triggered manually ('reflect') or automatically after N new memories since last reflection.",
"category": "medium",
"priority": 5,
"completed": true,
"tested": true,
"dependencies": [
"HIGH-003"
],
"files": [
{
"path": "~/.claude/skills/cognitive-memory/client.py",
"issue": "No reflection functionality exists"
}
],
"suggestedFix": "Add reflect() method and 'reflect' CLI command. Steps: (1) Load memories created since last reflection, (2) Group by tags/project, (3) Identify clusters of related memories, (4) For each cluster, generate a consolidated 'insight' memory (new type) summarizing the pattern, (5) Create BUILDS_ON relations from insight to source memories, (6) Log reflection as episode entry, (7) Store last_reflection timestamp in _state.json.",
"estimatedHours": 6,
"notes": "The actual insight generation requires Claude to analyze the cluster - this command should output the cluster data and prompt the agent to create the insight, not try to auto-generate it. Phase 2 core feature."
},
{
"id": "MED-002",
"name": "Procedural memory store - learned workflow patterns",
"description": "New memory type 'procedure' that encodes multi-step workflows the agent has learned. Stored in graph/procedures/ with special frontmatter fields: steps (ordered list), preconditions, postconditions, success_rate. Procedures are higher-weight in decay (1.4) since they encode reusable operational knowledge.",
"category": "medium",
"priority": 6,
"completed": true,
"tested": true,
"dependencies": [],
"files": [
{
"path": "~/.claude/skills/cognitive-memory/client.py",
"issue": "No procedure type or special handling exists"
}
],
"suggestedFix": "Add 'procedure' to VALID_TYPES and TYPE_DIRS (graph/procedures/). Add TYPE_WEIGHTS['procedure'] = 1.4. Extend frontmatter to support 'steps' field (ordered list of strings). Add 'procedure' CLI subcommand that prompts for step-by-step input. Update CORE.md generation to include a 'Key Procedures' section.",
"estimatedHours": 4,
"notes": "Procedures should be extractable from episode logs - if the same sequence of actions appears in multiple episodes, suggest creating a procedure."
},
{
"id": "MED-003",
"name": "Embedding-based semantic search via local model",
"description": "Use a local embedding model (e.g., all-MiniLM-L6-v2 via sentence-transformers, or Ollama embeddings) to enable semantic search that finds conceptually similar memories even without keyword overlap. Store embeddings in a separate _embeddings.json file.",
"category": "medium",
"priority": 7,
"completed": true,
"tested": true,
"dependencies": [
"HIGH-004"
],
"files": [
{
"path": "~/.claude/skills/cognitive-memory/client.py",
"issue": "Search is keyword-only, no semantic understanding"
}
],
"suggestedFix": "Create embeddings.py module. On 'embed' command: (1) Load all memories, (2) Generate embeddings for title + first 200 chars of content, (3) Store in _embeddings.json (gitignored). On recall: compute query embedding, cosine similarity against all stored embeddings, merge scores with keyword search. Use Ollama API if available (check localhost:11434), fall back to keyword-only.",
"estimatedHours": 6,
"notes": "Keep this optional - keyword search must remain the default. Ollama is already running on the homelab. Embedding model choice: nomic-embed-text or all-minilm via Ollama. _embeddings.json should be gitignored and regeneratable."
},
{
"id": "MED-004",
"name": "Auto-episode logging from git commits",
"description": "Automatically create episode entries when memories are stored after git commits. Detect when the context is a post-commit storage trigger and auto-populate episode fields from commit metadata (branch, files changed, commit message).",
"category": "medium",
"priority": 8,
"completed": true,
"tested": true,
"dependencies": [],
"files": [
{
"path": "~/.claude/skills/cognitive-memory/client.py",
"lines": [
590
],
"issue": "store() doesn't auto-log episodes"
}
],
"suggestedFix": "Add optional --episode flag to store command. When set, automatically append an episode entry after storing the memory. Include the memory file path as the memory_link. This avoids requiring two separate CLI calls.",
"estimatedHours": 1,
"notes": "Simple quality-of-life improvement. Most stores should also log an episode."
},
{
"id": "MED-005",
"name": "REFLECTION.md - periodic reflection summary",
"description": "Similar to CORE.md but focused on patterns and insights discovered during reflection cycles. Auto-generated file that tracks: recurring themes, cross-project patterns, most accessed memories, and memories that were consolidated.",
"category": "medium",
"priority": 9,
"completed": true,
"tested": true,
"dependencies": [
"MED-001"
],
"files": [
{
"path": "~/.claude/memory/REFLECTION.md",
"issue": "File does not exist"
}
],
"suggestedFix": "Generate during reflect() command. Structure: '## Themes' (tag co-occurrence analysis), '## Cross-Project Patterns' (memories that share tags across different projects), '## Most Accessed' (top 10 by access_count), '## Consolidated' (memories merged in this reflection). Store at ~/.claude/memory/REFLECTION.md alongside CORE.md.",
"estimatedHours": 3,
"notes": "Depends on reflection cycle being implemented first."
},
{
"id": "MED-006",
"name": "Tag co-occurrence analysis and suggestions",
"description": "Analyze tag patterns across memories to suggest related memories during store and identify under-tagged memories. Build a tag co-occurrence matrix that reveals hidden connections (e.g., 'redis' frequently co-occurs with 'timeout' and 'production').",
"category": "medium",
"priority": 10,
"completed": true,
"tested": true,
"dependencies": [],
"files": [
{
"path": "~/.claude/skills/cognitive-memory/client.py",
"issue": "No tag analysis exists"
}
],
"suggestedFix": "Add 'tags' CLI command with subcommands: 'tags list' (all tags with counts), 'tags related <tag>' (co-occurring tags), 'tags suggest <memory_id>' (suggest additional tags based on content and co-occurrence). Build co-occurrence matrix from _index.json during reindex.",
"estimatedHours": 3,
"notes": "Useful for maintaining tag hygiene and discovering patterns."
},
{
"id": "LOW-001",
"name": "IDENTITY.md - agent identity and preferences tracking",
"description": "Auto-maintained markdown file that tracks the agent's learned identity: user preferences, communication style, project familiarity, skill proficiencies, and interaction patterns. Updated during reflection cycles based on accumulated memories.",
"category": "low",
"priority": 11,
"completed": false,
"tested": false,
"dependencies": [
"MED-001"
],
"files": [
{
"path": "~/.claude/memory/IDENTITY.md",
"issue": "File does not exist"
}
],
"suggestedFix": "Generate during reflection cycle. Sections: '## User Profile' (Cal's preferences from memories), '## Project Familiarity' (projects ranked by memory count and recency), '## Interaction Patterns' (common workflows, preferred tools), '## Learned Preferences' (extracted from decision memories). Load alongside CORE.md at session start.",
"estimatedHours": 4,
"notes": "Phase 3. Should be lightweight and focused on actionable context, not personality. Maximum ~1K tokens to avoid bloating system prompt."
},
{
"id": "LOW-002",
"name": "Token economy - budget system for reflections",
"description": "Assign token costs to reflection operations and maintain a budget that replenishes over time. Prevents excessive reflection runs and encourages efficient memory management. Budget tracked in _state.json.",
"category": "low",
"priority": 12,
"completed": false,
"tested": false,
"dependencies": [
"MED-001"
],
"files": [
{
"path": "~/.claude/skills/cognitive-memory/client.py",
"issue": "No budget tracking exists"
}
],
"suggestedFix": "Add 'budget' section to _state.json: {tokens_remaining, tokens_max, last_refill, refill_rate}. Reflection costs: full reflect = 100 tokens, merge = 10, core regen = 5. Budget refills at 50 tokens/day. When budget is exhausted, reflection operations are blocked with a warning. 'budget' CLI command shows current balance.",
"estimatedHours": 3,
"notes": "Phase 3. Mainly useful if autonomous reflection is implemented (cron-triggered). For manual reflection, this may be unnecessary."
},
{
"id": "LOW-003",
"name": "Multi-agent pending queue - gated writes for team workflows",
"description": "When multiple Claude Code agents work in a team, memory writes should go through a pending queue that the lead agent reviews before committing. Prevents conflicting or low-quality memories from parallel agents.",
"category": "low",
"priority": 13,
"completed": false,
"tested": false,
"dependencies": [],
"files": [
{
"path": "~/.claude/memory/",
"issue": "No pending queue mechanism exists"
}
],
"suggestedFix": "Add ~/.claude/memory/_pending/ directory (gitignored). When store() detects team context (environment variable or flag), write to _pending/ instead of graph/. Add 'pending' CLI command: 'pending list', 'pending approve <id>', 'pending reject <id>', 'pending approve-all'. Approved memories move to graph/ with normal git commit. Rejected ones are deleted.",
"estimatedHours": 5,
"notes": "Phase 3. Only needed if multi-agent workflows become common. For now, single-agent usage doesn't need this."
},
{
"id": "LOW-004",
"name": "Memory visualization - graph export for external tools",
"description": "Export the memory graph as JSON or DOT format for visualization in tools like Obsidian, Gephi, or a custom web viewer. Show memories as nodes, relations as edges, with size/color based on decay score and type.",
"category": "low",
"priority": 14,
"completed": false,
"tested": false,
"dependencies": [],
"files": [
{
"path": "~/.claude/skills/cognitive-memory/client.py",
"issue": "No export functionality exists"
}
],
"suggestedFix": "Add 'export' CLI command with --format flag (json, dot, obsidian). JSON: full graph with nodes and edges. DOT: Graphviz format. Obsidian: Generate [[wikilinks]] in memory files for Obsidian graph view. Output to stdout or --output file.",
"estimatedHours": 3,
"notes": "Phase 3 nice-to-have. The Obsidian export is most interesting since Cal could browse memories in Obsidian's graph view."
},
{
"id": "FEAT-001",
"name": "Cron-based auto-maintenance",
"description": "Set up a cron job or systemd timer that runs periodic maintenance: decay recalculation, CORE.md regeneration, and stale memory detection. Runs daily or weekly without requiring an active Claude session.",
"category": "feature",
"priority": 15,
"completed": false,
"tested": false,
"dependencies": [
"HIGH-002"
],
"files": [
{
"path": "~/.claude/skills/cognitive-memory/client.py",
"issue": "No maintenance command exists"
}
],
"suggestedFix": "Add 'maintain' CLI command that runs: decay(), core(), and reports stale/archived memory counts. Create systemd user timer or cron entry: '0 4 * * * python3 ~/.claude/skills/cognitive-memory/client.py maintain'. Add --quiet flag for cron usage.",
"estimatedHours": 2,
"notes": "Simple automation. Should also push to git after maintenance."
},
{
"id": "FEAT-002",
"name": "Memory import from external sources",
"description": "Import memories from other formats: NoteDiscovery notes, markdown files, JSON dumps. Useful for bootstrapping memories from existing knowledge bases or migrating from other systems.",
"category": "feature",
"priority": 16,
"completed": false,
"tested": false,
"dependencies": [],
"files": [
{
"path": "~/.claude/skills/cognitive-memory/client.py",
"issue": "No import functionality beyond migrate.py"
}
],
"suggestedFix": "Add 'import' CLI command with --format flag (markdown, json, notediscovery). Markdown: parse frontmatter or use filename as title. JSON: expect {title, content, type, tags} objects. NoteDiscovery: use NoteDiscovery client to fetch and convert notes.",
"estimatedHours": 3,
"notes": "Lower priority but useful for knowledge consolidation."
},
{
"id": "FEAT-003",
"name": "Memory health report",
"description": "Generate a health report showing: memories with no tags, memories with no relations, duplicate titles, stale memories that should be archived or revived, tag distribution imbalance, and orphaned relations.",
"category": "feature",
"priority": 17,
"completed": false,
"tested": false,
"dependencies": [],
"files": [
{
"path": "~/.claude/skills/cognitive-memory/client.py",
"issue": "stats() only shows counts, no qualitative analysis"
}
],
"suggestedFix": "Add 'health' CLI command. Checks: (1) untagged memories, (2) memories with 0 relations, (3) duplicate/near-duplicate titles (Levenshtein or token overlap), (4) memories below archive threshold, (5) tag distribution (warn if >50% of memories share same tag), (6) broken relation targets. Output as markdown report.",
"estimatedHours": 3,
"notes": "Good complement to reflection cycle. Run before reflect() to identify consolidation targets."
},
{
"id": "DOCS-001",
"name": "Update NoteDiscovery with cognitive-memory reference docs",
"description": "Create reference documentation in NoteDiscovery at reference/skills/cognitive-memory covering the full skill documentation, CLI reference, schema, and migration notes.",
"category": "feature",
"priority": 18,
"completed": false,
"tested": false,
"dependencies": [],
"files": [],
"suggestedFix": "Use NoteDiscovery client to create/update a note at reference/skills/cognitive-memory with SKILL.md content adapted for the wiki format. Include links to the git repo.",
"estimatedHours": 1,
"notes": "Keeps NoteDiscovery in sync with skill documentation, matching the pattern used for MemoryGraph docs."
}
],
"quickWins": [
{
"taskId": "MED-004",
"estimatedMinutes": 45,
"impact": "Eliminates the need for two separate CLI calls (store + episode) on every memory save"
},
{
"taskId": "HIGH-001",
"estimatedMinutes": 60,
"impact": "Makes CORE.md immediately useful at a glance without opening individual files"
},
{
"taskId": "DOCS-001",
"estimatedMinutes": 30,
"impact": "Keeps wiki docs in sync with new skill"
}
],
"productionBlockers": [],
"weeklyRoadmap": {
"week1": {
"theme": "Phase 1 Polish",
"tasks": [
"HIGH-001",
"HIGH-002",
"HIGH-004",
"MED-004"
],
"estimatedHours": 6
},
"week2": {
"theme": "Merge & Health",
"tasks": [
"HIGH-003",
"FEAT-003",
"MED-006"
],
"estimatedHours": 9
},
"week3": {
"theme": "Phase 2 Core - Reflection",
"tasks": [
"MED-001",
"MED-005"
],
"estimatedHours": 9
},
"week4": {
"theme": "Phase 2 - Procedural & Maintenance",
"tasks": [
"MED-002",
"FEAT-001",
"DOCS-001"
],
"estimatedHours": 7
},
"week5": {
"theme": "Phase 2 - Semantic Search",
"tasks": [
"MED-003"
],
"estimatedHours": 6
},
"week6_plus": {
"theme": "Phase 3 - Identity, Economy, Multi-Agent",
"tasks": [
"LOW-001",
"LOW-002",
"LOW-003",
"LOW-004",
"FEAT-002"
],
"estimatedHours": 18
}
}
}

368
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# Cognitive Memory Schema
## Memory File Format
Each memory is a markdown file with YAML frontmatter. Filename format: `{slugified-title}-{6char-uuid}.md`
Example: `graph/solutions/fixed-redis-connection-timeouts-a1b2c3.md`
```markdown
---
id: a1b2c3d4-e5f6-7890-abcd-ef1234567890
type: solution
title: "Fixed Redis connection timeouts"
tags: [redis, timeout, production, homelab]
importance: 0.8
confidence: 0.8
created: 2025-12-06T16:25:58+00:00
updated: 2025-12-06T16:25:58+00:00
relations:
- target: def789ab-...
type: SOLVES
direction: outgoing
strength: 0.8
context: "Keepalive prevents idle disconnections"
---
Added socket_keepalive=True and socket_timeout=300 to Redis connection configuration.
```
### Frontmatter Fields
| Field | Type | Required | Description |
|-------|------|----------|-------------|
| `id` | string (UUID) | Yes | Unique identifier |
| `type` | string | Yes | Memory type (see below) |
| `title` | string (quoted) | Yes | Descriptive title |
| `tags` | list[string] | No | Categorization tags (inline YAML list) |
| `importance` | float 0.0-1.0 | Yes | Importance score |
| `confidence` | float 0.0-1.0 | No | Confidence score (default 0.8) |
| `steps` | list[string] | No | Ordered steps (procedure type only) |
| `preconditions` | list[string] | No | Required preconditions (procedure type only) |
| `postconditions` | list[string] | No | Expected postconditions (procedure type only) |
| `created` | string (ISO 8601) | Yes | Creation timestamp |
| `updated` | string (ISO 8601) | Yes | Last update timestamp |
| `relations` | list[Relation] | No | Relationships to other memories |
### Memory Types
| Type | Directory | Description |
|------|-----------|-------------|
| `solution` | `graph/solutions/` | Fix or resolution to a problem |
| `fix` | `graph/fixes/` | Code-level fix or patch |
| `decision` | `graph/decisions/` | Architecture or design choice |
| `configuration` | `graph/configurations/` | Working configuration |
| `problem` | `graph/problems/` | Issue or challenge |
| `workflow` | `graph/workflows/` | Process or sequence |
| `code_pattern` | `graph/code-patterns/` | Reusable code pattern |
| `error` | `graph/errors/` | Specific error condition |
| `general` | `graph/general/` | General learning |
| `procedure` | `graph/procedures/` | Structured workflow with steps/preconditions/postconditions |
| `insight` | `graph/insights/` | Cross-cutting pattern from reflection cycles |
### Relation Fields
| Field | Type | Required | Description |
|-------|------|----------|-------------|
| `target` | string (UUID) | Yes | Target memory ID |
| `type` | string | Yes | Relationship type |
| `direction` | string | Yes | `outgoing` or `incoming` |
| `strength` | float 0.0-1.0 | No | Relationship strength |
| `context` | string (quoted) | No | Context description |
### Relationship Types
`SOLVES`, `CAUSES`, `BUILDS_ON`, `ALTERNATIVE_TO`, `REQUIRES`, `FOLLOWS`, `RELATED_TO`
---
## _index.json
Computed index for fast lookups. Rebuilt by `reindex` command. **Source of truth: markdown files.**
```json
{
"version": 1,
"updated": "2025-12-13T10:30:00+00:00",
"count": 313,
"entries": {
"a1b2c3d4-e5f6-7890-abcd-ef1234567890": {
"title": "Fixed Redis connection timeouts",
"type": "solution",
"tags": ["redis", "timeout", "production", "homelab"],
"importance": 0.8,
"confidence": 0.8,
"created": "2025-12-06T16:25:58+00:00",
"updated": "2025-12-06T16:25:58+00:00",
"path": "graph/solutions/fixed-redis-connection-timeouts-a1b2c3.md",
"relations": [
{
"target": "def789ab-...",
"type": "SOLVES",
"direction": "outgoing",
"strength": 0.8,
"context": "Keepalive prevents idle disconnections"
}
]
}
}
}
```
**Notes:**
- `_index.json` is gitignored (derived data)
- Can be regenerated at any time with `python client.py reindex`
- Entries mirror frontmatter fields for fast search without opening files
---
## _state.json
Mutable runtime state tracking access patterns and decay scores. **Kept separate from frontmatter to avoid churning git history with access-count updates.**
```json
{
"version": 1,
"updated": "2025-12-13T10:30:00+00:00",
"entries": {
"a1b2c3d4-e5f6-7890-abcd-ef1234567890": {
"access_count": 5,
"last_accessed": "2025-12-13T10:15:00+00:00",
"decay_score": 0.75
}
}
}
```
**Notes:**
- `_state.json` is gitignored (mutable, session-specific data)
- Access count increments on `get` operations
- Decay scores recalculated by `python client.py decay`
---
## Episode File Format
Daily markdown files in `episodes/` directory. Append-only, one file per day.
Filename format: `YYYY-MM-DD.md`
```markdown
# 2025-12-13
## 10:30 - Fixed Discord bot reconnection
- **Type:** fix
- **Tags:** major-domo, discord, python
- **Memory:** [discord-bot-reconnection](../graph/fixes/discord-bot-reconnection-a1b2c3.md)
- **Summary:** Implemented exponential backoff for reconnections
## 11:15 - Chose websocket over polling
- **Type:** decision
- **Tags:** major-domo, architecture
- **Memory:** [websocket-over-polling](../graph/decisions/websocket-over-polling-d4e5f6.md)
- **Summary:** WebSocket provides lower latency for real-time game state updates
```
**Notes:**
- Episodes are chronological session logs
- Entries link back to graph memories when available
- Append-only (never edited, only appended)
- Useful for reflection and session review
---
## CORE.md Format
Auto-generated summary of highest-relevance memories. Loaded into system prompt at session start.
```markdown
# Memory Core (auto-generated)
> Last updated: 2025-12-13 | Active memories: 180/313 | Next refresh: manual
## Critical Solutions
- [title](relative/path.md) (tag1, tag2)
## Active Decisions
- [title](relative/path.md) (tag1, tag2)
## Key Fixes
- [title](relative/path.md) (tag1, tag2)
## Configurations
- [title](relative/path.md) (tag1, tag2)
## Patterns & Workflows
- [title](relative/path.md) (tag1, tag2)
```
**Notes:**
- Budget: ~3K tokens (~12,000 chars)
- Regenerated by `python client.py core`
- Memories included based on decay_score (must be >= 0.2)
- Grouped by type category, sorted by decay score within each group
- Capped at 15 entries per section
---
## Decay Model
```
decay_score = importance × e^(-λ × days_since_access) × log2(access_count + 1) × type_weight
```
Where:
- `λ = 0.03` (half-life ~23 days)
- `days_since_access` = days since `_state.json` `last_accessed`
- `access_count` = from `_state.json`
- `type_weight` = per-type multiplier (see below)
- For `access_count == 0`, `usage_factor = 0.5` (new memories start at half strength)
### Type Weights
| Type | Weight |
|------|--------|
| `procedure` | 1.4 |
| `decision` | 1.3 |
| `insight` | 1.25 |
| `solution` | 1.2 |
| `code_pattern` | 1.1 |
| `configuration` | 1.1 |
| `fix` | 1.0 |
| `workflow` | 1.0 |
| `problem` | 0.9 |
| `error` | 0.8 |
| `general` | 0.8 |
### Thresholds
| Range | Status |
|-------|--------|
| 0.5+ | Active |
| 0.2-0.5 | Fading |
| 0.05-0.2 | Dormant |
| <0.05 | Archived |
### Vault
Pinned memories (in `vault/`) have a decay score of 999.0 (effectively infinite).
---
## REFLECTION.md Format
Auto-generated summary of memory themes, cross-project patterns, and access statistics. Generated by `python client.py reflection` or automatically during `reflect`.
```markdown
# Reflection Summary (auto-generated)
> Last updated: 2026-02-13 | Last reflection: 2026-02-13 | Total reflections: 2
## Themes
Top tag co-occurrences revealing recurring themes:
- **fix + python**: 52 memories ("Fix S3 upload...", "fix_cardpositions.py...")
## Cross-Project Patterns
Tags that span multiple projects:
- **fix**: appears in major-domo (38), vagabond-rpg (22), paper-dynasty (19)
## Most Accessed
Top 10 memories by access count:
1. [Title](graph/type/filename.md) - N accesses
## Recent Insights
Insight-type memories:
- [Title](graph/insights/filename.md) - content preview...
## Consolidation History
- Total merges performed: 0
```
**Sections:**
1. **Themes** - Top 8 tag co-occurrences with example memory titles (top 3)
2. **Cross-Project Patterns** - Tags spanning 2+ known projects with per-project counts
3. **Most Accessed** - Top 10 memories ranked by `_state.json` access_count
4. **Recent Insights** - Latest insight-type memories with 80-char content preview
5. **Consolidation History** - Merge count from episode files
**Known projects:** major-domo, paper-dynasty, homelab, vagabond-rpg, foundryvtt, strat-gameplay-webapp
---
## _embeddings.json
Ollama embedding vectors for semantic search. **Gitignored** (derived, regenerated by `python client.py embed`).
```json
{
"model": "nomic-embed-text",
"updated": "2026-02-13T12:00:00+00:00",
"entries": {
"a1b2c3d4-e5f6-7890-abcd-ef1234567890": [0.0123, -0.0456, ...],
...
}
}
```
**Notes:**
- Vectors generated from `"{title}. {content_preview}"` per memory
- Uses Ollama `nomic-embed-text` model at `http://localhost:11434`
- Batched in groups of 50, 300-second timeout for first-time model pull
- Falls back gracefully if Ollama is unavailable
- Must be refreshed after adding new memories (`python client.py embed`)
---
## Procedure Memory Format
Procedure-type memories have additional frontmatter fields for structured steps:
```markdown
---
id: a1b2c3d4-...
type: procedure
title: "Deploy Major Domo to production"
tags: [major-domo, deploy, docker]
importance: 0.8
confidence: 0.8
steps:
- "Run tests"
- "Build docker image"
- "Push to registry"
- "Deploy to LXC"
preconditions:
- "All tests pass"
- "On main branch"
postconditions:
- "Service healthy"
- "Discord bot online"
created: 2026-02-13T12:00:00+00:00
updated: 2026-02-13T12:00:00+00:00
---
Standard deploy workflow for the Major Domo Discord bot.
```
**Notes:**
- `steps`, `preconditions`, `postconditions` are optional lists
- Values are quoted YAML strings in the list
- Procedures have the highest decay weight (1.4) - they persist longest
---
## .gitignore
```
_state.json
_index.json
_embeddings.json
```
Only markdown files (memories, CORE.md, REFLECTION.md, episodes) are git-tracked. Index, state, and embeddings are derived/mutable data that can be regenerated.
---
*Schema version: 2.0.0 | Created: 2026-02-13 | Updated: 2026-02-13*

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---
name: cognitive-memory
description: Markdown-based memory system with decay scoring, episodic logging, and auto-curated CORE.md. USE WHEN storing learnings, recalling past solutions, linking problems to fixes, tracking decisions, or building knowledge connections across sessions. Replaces MemoryGraph with human-readable files.
---
# Cognitive Memory - Markdown-Based AI Memory
## Purpose
Cognitive Memory provides persistent, human-readable memory storage as markdown files with YAML frontmatter. Unlike MemoryGraph's opaque SQLite database, every memory is a browseable, editable markdown file organized in a git-tracked repository.
**Key features:**
- Human-readable markdown files with YAML frontmatter
- Decay scoring to surface relevant memories and let stale ones fade
- Episodic session logs for chronological context
- Auto-curated CORE.md loaded into system prompt
- Git-tracked for history, rollback, and diff visibility
- Relations stored directly in frontmatter (self-contained files)
- Semantic search via Ollama embeddings (nomic-embed-text)
- Reflection cycles with union-find clustering to surface patterns
- Procedural memories with structured steps/preconditions/postconditions
- Tag co-occurrence analysis for pattern discovery
- REFLECTION.md with theme analysis and cross-project patterns
## When to Activate This Skill
**Explicit triggers:**
- "Remember this for later"
- "Store this solution / fix / decision"
- "What did we learn about X?"
- "Find solutions for this problem"
- "Link this to that issue"
- "Show me related memories"
- "What's in memory about...?"
- "What patterns have we seen?"
- "Run a reflection"
- "What tags are related to X?"
- "Store this procedure / workflow"
**Automatic triggers (per CLAUDE.md Memory Protocol):**
- After fixing a bug
- After a git commit
- After making an architecture decision
- After discovering a reusable pattern
- After a successful configuration
- After troubleshooting sessions
- At session start (recall relevant memories, load CORE.md + REFLECTION.md)
- Periodically (reflect to cluster memories, suggest missing tags)
## Quick Reference
### CLI Commands
All commands support `--help` for full argument details. Key non-obvious features:
```bash
# --episode flag auto-logs a session entry when storing
python client.py store --type solution --title "Fixed X" --content "..." --tags "t1,t2" --episode
# --semantic merges keyword + Ollama embedding results (run embed first)
python client.py recall "timeout error" --semantic
# procedure type takes structured steps/preconditions/postconditions
python client.py procedure --title "Deploy flow" --content "..." \
--steps "test,build,push,deploy" --preconditions "tests pass" --postconditions "healthy"
# reflect clusters recent memories; reflection regenerates REFLECTION.md
python client.py reflect --since 2026-01-01
python client.py reflection
# tags sub-commands: list (counts), related (co-occurrence), suggest (for a memory)
python client.py tags list
python client.py tags related "python"
python client.py tags suggest <memory_id>
```
**Full command list:** `store`, `recall`, `get`, `relate`, `search`, `update`, `delete`, `related`, `stats`, `recent`, `decay`, `core`, `episode`, `reindex`, `pin`, `embed`, `reflect`, `reflection`, `tags`, `procedure`, `merge`
### Memory Types
| Type | When to Use | Decay Weight |
|------|-------------|--------------|
| `procedure` | Structured workflow with steps/preconditions/postconditions | 1.4 (decays slowest) |
| `decision` | Architecture or design choices | 1.3 |
| `insight` | Cross-cutting pattern from reflection cycles | 1.25 |
| `solution` | Fix or resolution to a problem | 1.2 |
| `code_pattern` | Reusable code pattern | 1.1 |
| `configuration` | Config that worked | 1.1 |
| `fix` | Code-level patch or correction | 1.0 |
| `workflow` | Process or sequence | 1.0 |
| `problem` | Issue or challenge encountered | 0.9 |
| `error` | Specific error condition | 0.8 |
| `general` | Catch-all for other learnings | 0.8 |
### Relationship Types
| Type | Meaning |
|------|---------|
| `SOLVES` | Solution fixes a problem |
| `CAUSES` | A causes B |
| `BUILDS_ON` | A extends or enhances B |
| `ALTERNATIVE_TO` | A is an alternative approach to B |
| `REQUIRES` | A depends on B |
| `FOLLOWS` | A follows B in sequence |
| `RELATED_TO` | General association |
### Importance Scale
| Score | Meaning |
|-------|---------|
| 0.8-1.0 | Critical - affects multiple projects, prevents major issues |
| 0.5-0.7 | Standard - useful pattern or solution |
| 0.3-0.4 | Minor - nice-to-know, edge cases |
## Directory Structure
```
~/.claude/memory/
├── CORE.md # Auto-curated ~3K token summary
├── REFLECTION.md # Theme analysis & cross-project patterns
├── graph/ # Semantic memories (knowledge graph)
│ ├── solutions/ # Solution memories
│ ├── fixes/ # Fix memories
│ ├── decisions/ # Decision memories
│ ├── configurations/ # Configuration memories
│ ├── problems/ # Problem memories
│ ├── workflows/ # Workflow memories
│ ├── code-patterns/ # Code pattern memories
│ ├── errors/ # Error memories
│ ├── general/ # General memories
│ ├── procedures/ # Procedural memories (steps/pre/postconditions)
│ └── insights/ # Reflection-generated insights
├── episodes/ # Daily session logs (YYYY-MM-DD.md)
├── vault/ # Pinned memories (never decay)
├── _index.json # Computed index for fast lookups
├── _state.json # Mutable state (access counts, decay scores)
├── _embeddings.json # Ollama embedding vectors (semantic search)
└── .gitignore # Ignores _state.json, _index.json, _embeddings.json
```
## Decay Model
Memories have a decay score that determines their relevance over time:
```
decay_score = importance × e^(-0.03 × days_since_access) × log2(access_count + 1) × type_weight
```
| Score Range | Status | Behavior |
|-------------|--------|----------|
| 0.5+ | Active | Included in search results, eligible for CORE.md |
| 0.2-0.5 | Fading | Deprioritized in results |
| 0.05-0.2 | Dormant | Only found via explicit search |
| <0.05 | Archived | Hidden from search (files remain on disk) |
**Half-life:** ~23 days. Access a memory to reset its timer.
**Vault:** Pinned memories have infinite decay score.
## Workflow Patterns
### 1. Store a Bug Fix
```bash
# Store the solution
python client.py store --type solution \
--title "Fixed Redis connection timeouts" \
--content "Added socket_keepalive=True and socket_timeout=300..." \
--tags "redis,timeout,production" --importance 0.8
# Log the episode
python client.py episode --type fix --title "Fixed Redis timeouts" \
--tags "redis,production" --summary "Keepalive prevents idle disconnections"
```
### 2. Recall Before Starting Work
```bash
# Check what we know about a topic
python client.py recall "authentication oauth"
# Find solutions for similar problems
python client.py search --types "solution" --tags "python,api"
```
### 3. Document a Decision
```bash
python client.py store --type decision \
--title "Chose PostgreSQL over MongoDB" \
--content "Need ACID transactions, complex joins..." \
--tags "database,architecture" --importance 0.9
```
### 4. Link Related Memories
```bash
python client.py relate <solution_id> <problem_id> SOLVES \
--context "Keepalive prevents idle disconnections"
```
### 5. Semantic Recall (Deeper Matching)
```bash
# First-time setup: generate embeddings (requires Ollama + nomic-embed-text)
python client.py embed
# Recall with semantic search (merges keyword + embedding results)
python client.py recall "authentication timeout" --semantic
```
### 6. Store a Procedure
```bash
python client.py procedure \
--title "Deploy Major Domo to production" \
--content "Standard deploy workflow for the Discord bot" \
--steps "run tests,build docker image,push to registry,deploy to LXC" \
--preconditions "all tests pass,on main branch,version bumped" \
--postconditions "service healthy,Discord bot online" \
--tags "major-domo,deploy,docker" --importance 0.8
```
### 7. Run a Reflection Cycle
```bash
# Analyze recent memories for patterns
python client.py reflect
# Review memories since a specific date
python client.py reflect --since 2026-01-15
# Preview without modifying state
python client.py reflect --dry-run
# Generate/refresh the REFLECTION.md summary
python client.py reflection
```
### 8. Tag Analysis
```bash
# What tags exist and how often?
python client.py tags list --limit 20
# What tags co-occur with "python"?
python client.py tags related "python"
# What tags should this memory have?
python client.py tags suggest <memory_id>
```
### 9. Session Maintenance
```bash
# Recalculate decay scores
python client.py decay
# Regenerate CORE.md
python client.py core
# Refresh embeddings after adding new memories
python client.py embed
# View what's fading
python client.py search --min-importance 0.3
```
## CORE.md
Auto-generated summary of highest-relevance memories (~3K tokens), loaded into the system prompt at session start. Contains links to the most important active memories grouped by type. Regenerated by the `core` CLI command.
## REFLECTION.md
Auto-generated summary of memory themes, cross-project patterns, and access statistics. Contains 5 sections: Themes (tag co-occurrences), Cross-Project Patterns (tags spanning multiple projects), Most Accessed (top 10 by access count), Recent Insights (latest insight-type memories), and Consolidation History. Generated by `reflection` CLI command or automatically during `reflect`.
## Semantic Search
Requires Ollama running locally with the `nomic-embed-text` model. Generate embeddings with `python client.py embed`, then use `--semantic` flag on recall to merge keyword and embedding-based results. Semantic search provides deeper matching beyond exact title/tag keywords - useful for finding conceptually related memories even when different terminology was used.
## Episode Logging
Daily markdown files appended during sessions, providing chronological context:
```markdown
# 2025-12-13
## 10:30 - Fixed Discord bot reconnection
- **Type:** fix
- **Tags:** major-domo, discord, python
- **Summary:** Implemented exponential backoff for reconnections
```
## Migration from MemoryGraph
This system was migrated from MemoryGraph (SQLite-based). The original database is archived at `~/.memorygraph/memory.db.archive`. All 313 memories and 30 relationships were preserved.
## Proactive Usage
This skill should be used proactively when:
1. **Bug fixed** - Store problem + solution + SOLVES relationship (use `--episode` for auto-logging)
2. **Git commit made** - Store summary of what was fixed/added
3. **Architecture decision** - Store choice + rationale
4. **Pattern discovered** - Store for future recall
5. **Configuration worked** - Store what worked and why
6. **Troubleshooting complete** - Store what was tried, what worked
7. **Session start** - Load CORE.md + REFLECTION.md, then recall relevant memories (use `--semantic` for deeper matching)
8. **Multi-step workflow documented** - Use `procedure` type with structured steps/preconditions/postconditions
9. **Periodically** - Run `reflect` to cluster memories and surface cross-cutting insights. Run `tags suggest` to find missing tag connections
10. **After adding memories** - Run `embed` to refresh semantic search index
11. **Session ending** - Prompt: "Should I store today's learnings?"
---
**Location**: `~/.claude/skills/cognitive-memory/`
**Data**: `~/.claude/memory/`
**Version**: 2.0.0
**Created**: 2026-02-13
**Migrated from**: MemoryGraph (SQLite)

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{
"name": "cognitive-memory",
"version": "2.0.0",
"description": "Markdown-based memory system with decay scoring, episodic logging, semantic search, reflection cycles, and auto-curated CORE.md",
"created": "2026-02-13",
"migrated_from": "memorygraph",
"status": "active",
"files": {
"client.py": "CLI and Python API for all memory operations",
"migrate.py": "One-time migration from MemoryGraph SQLite",
"SKILL.md": "Skill documentation and activation triggers",
"SCHEMA.md": "Format documentation for all file types"
},
"data_location": "~/.claude/memory/",
"dependencies": "stdlib-only (no external packages; Ollama optional for semantic search)",
"features": [
"store: Create markdown memory files with YAML frontmatter (--episode flag)",
"recall: Search memories ranked by relevance and decay score (--semantic flag)",
"get: Retrieve memory by ID with access tracking",
"relate: Create bidirectional relationships between memories",
"search: Filter by type, tags, importance with optional text query",
"update: Modify memory frontmatter and content",
"delete: Remove memory with relation cleanup",
"related: BFS traversal of memory relationships",
"stats: Memory system statistics and decay summary",
"recent: Recently created memories",
"decay: Recalculate all decay scores",
"core: Generate CORE.md auto-curated summary",
"episode: Append to daily session log",
"reindex: Rebuild index from markdown files",
"pin: Move memory to vault (never decays)",
"reflect: Cluster recent memories by tag overlap using union-find",
"reflection: Generate REFLECTION.md summary with themes and patterns",
"procedure: Store procedural memories with steps/preconditions/postconditions",
"embed: Generate Ollama embeddings for semantic search",
"tags list: Show all tags with usage counts",
"tags related: Find co-occurring tags",
"tags suggest: Recommend tags based on co-occurrence patterns"
]
}

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#!/usr/bin/env python3
"""
Cognitive Memory Migration Script
Migrates all memories from MemoryGraph SQLite database to markdown-based
cognitive memory system. Idempotent - skips files that already exist.
Usage:
python migrate.py # Run migration
python migrate.py --dry-run # Preview without writing
python migrate.py --verify # Verify post-migration integrity
"""
import json
import os
import re
import sqlite3
import sys
from datetime import datetime, timezone
from pathlib import Path
# Import from sibling module
sys.path.insert(0, str(Path(__file__).parent))
from client import (
CognitiveMemoryClient,
MEMORY_DIR,
TYPE_DIRS,
TYPE_WEIGHTS,
VALID_TYPES,
calculate_decay_score,
make_filename,
parse_frontmatter,
serialize_frontmatter,
slugify,
)
# MemoryGraph database location
MEMORYGRAPH_DB = Path.home() / ".memorygraph" / "memory.db"
# Memory type mapping: MemoryGraph types -> cognitive-memory types
# MemoryGraph has more types; map extras to closest cognitive-memory equivalent
TYPE_MAP = {
"solution": "solution",
"problem": "problem",
"error": "error",
"fix": "fix",
"code_pattern": "code_pattern",
"decision": "decision",
"configuration": "configuration",
"workflow": "workflow",
"general": "general",
# MemoryGraph-only types mapped to closest equivalents
"task": "general",
"project": "general",
"technology": "general",
"command": "general",
"file_context": "general",
}
def load_sqlite_memories(db_path: Path) -> list:
"""Load all memories from MemoryGraph SQLite database."""
conn = sqlite3.connect(str(db_path))
conn.row_factory = sqlite3.Row
rows = conn.execute(
"SELECT id, properties, created_at, updated_at FROM nodes WHERE label = 'Memory'"
).fetchall()
memories = []
for row in rows:
props = json.loads(row["properties"])
memories.append({
"id": props.get("id", row["id"]),
"type": props.get("type", "general"),
"title": props.get("title", "Untitled"),
"content": props.get("content", ""),
"summary": props.get("summary"),
"tags": props.get("tags", []),
"importance": props.get("importance", 0.5),
"confidence": props.get("confidence", 0.8),
"usage_count": props.get("usage_count", 0),
"created_at": props.get("created_at", row["created_at"]),
"updated_at": props.get("updated_at", row["updated_at"]),
})
conn.close()
return memories
def load_sqlite_relationships(db_path: Path) -> list:
"""Load all relationships from MemoryGraph SQLite database."""
conn = sqlite3.connect(str(db_path))
conn.row_factory = sqlite3.Row
rows = conn.execute(
"SELECT id, from_id, to_id, rel_type, properties, created_at FROM relationships"
).fetchall()
relationships = []
for row in rows:
props = json.loads(row["properties"])
# Parse context - may be a JSON string within JSON
context_raw = props.get("context", "")
context_text = ""
if context_raw:
try:
ctx = json.loads(context_raw) if isinstance(context_raw, str) else context_raw
if isinstance(ctx, dict):
context_text = ctx.get("text", "")
else:
context_text = str(ctx)
except (json.JSONDecodeError, TypeError):
context_text = str(context_raw)
relationships.append({
"id": row["id"],
"from_id": row["from_id"],
"to_id": row["to_id"],
"rel_type": row["rel_type"],
"strength": props.get("strength", 0.5),
"context": context_text,
})
conn.close()
return relationships
def migrate(dry_run: bool = False):
"""Run the full migration from MemoryGraph to cognitive-memory."""
if not MEMORYGRAPH_DB.exists():
print(f"Error: MemoryGraph database not found at {MEMORYGRAPH_DB}")
sys.exit(1)
print(f"Loading memories from {MEMORYGRAPH_DB}...")
memories = load_sqlite_memories(MEMORYGRAPH_DB)
relationships = load_sqlite_relationships(MEMORYGRAPH_DB)
print(f"Found {len(memories)} memories and {len(relationships)} relationships")
if dry_run:
print("\n--- DRY RUN ---")
by_type = {}
for mem in memories:
t = TYPE_MAP.get(mem["type"], "general")
by_type[t] = by_type.get(t, 0) + 1
print("Type distribution after mapping:")
for t, count in sorted(by_type.items(), key=lambda x: -x[1]):
dir_name = TYPE_DIRS.get(t, "general")
print(f" graph/{dir_name}/: {count}")
print(f"\nRelationships to embed: {len(relationships)}")
return
# Initialize client (creates directories)
client = CognitiveMemoryClient()
# Build memory ID -> file path mapping
id_to_path = {}
created_count = 0
skipped_count = 0
print("\nPhase 1: Creating markdown files...")
for i, mem in enumerate(memories, 1):
memory_id = mem["id"]
mem_type = TYPE_MAP.get(mem["type"], "general")
type_dir = TYPE_DIRS.get(mem_type, "general")
# Create filename
filename = make_filename(mem["title"], memory_id)
rel_path = f"graph/{type_dir}/{filename}"
full_path = MEMORY_DIR / rel_path
# Check if already exists (idempotent)
if full_path.exists():
id_to_path[memory_id] = (full_path, rel_path)
skipped_count += 1
continue
# Build frontmatter
frontmatter = {
"id": memory_id,
"type": mem_type,
"title": mem["title"],
"tags": mem.get("tags", []),
"importance": mem.get("importance", 0.5),
"confidence": mem.get("confidence", 0.8),
"created": mem.get("created_at", ""),
"updated": mem.get("updated_at", ""),
}
# Build content body
content = mem.get("content", "")
if mem.get("summary"):
content = f"{content}\n\n**Summary:** {mem['summary']}"
# Write file
client._write_memory_file(full_path, frontmatter, content)
id_to_path[memory_id] = (full_path, rel_path)
created_count += 1
if i % 50 == 0:
print(f" {i}/{len(memories)} files created...")
print(f" Created: {created_count}, Skipped (existing): {skipped_count}")
# Phase 2: Embed relationships into frontmatter
print("\nPhase 2: Embedding relationships into frontmatter...")
rel_count = 0
# Group relationships by source memory
from_rels = {} # from_id -> list of (to_id, type, strength, context)
for rel in relationships:
from_rels.setdefault(rel["from_id"], []).append(rel)
for from_id, rels in from_rels.items():
if from_id not in id_to_path:
print(f" Warning: Source memory {from_id[:8]} not found, skipping {len(rels)} relationships")
continue
full_path, rel_path = id_to_path[from_id]
# Read current frontmatter
fm, body = client._read_memory_file(full_path)
existing_rels = fm.get("relations", [])
existing_targets = {(r.get("target"), r.get("type")) for r in existing_rels}
added = 0
for rel in rels:
to_id = rel["to_id"]
if to_id not in id_to_path:
continue
if (to_id, rel["rel_type"]) in existing_targets:
continue # Already exists
# Normalize relation type to valid set
rel_type = rel["rel_type"]
if rel_type not in ("SOLVES", "CAUSES", "BUILDS_ON", "ALTERNATIVE_TO",
"REQUIRES", "FOLLOWS", "RELATED_TO"):
rel_type = "RELATED_TO" # Map unknown types to RELATED_TO
new_rel = {
"target": to_id,
"type": rel_type,
"direction": "outgoing",
"strength": rel.get("strength", 0.5),
}
if rel.get("context"):
new_rel["context"] = rel["context"]
existing_rels.append(new_rel)
added += 1
if added > 0:
fm["relations"] = existing_rels
client._write_memory_file(full_path, fm, body)
rel_count += added
# Also add incoming relations to target memories
for rel in rels:
to_id = rel["to_id"]
if to_id not in id_to_path:
continue
to_path, to_rel = id_to_path[to_id]
to_fm, to_body = client._read_memory_file(to_path)
to_rels = to_fm.get("relations", [])
# Check for existing incoming
has_incoming = any(
r.get("target") == from_id and r.get("direction") == "incoming"
for r in to_rels
)
if has_incoming:
continue
rel_type = rel["rel_type"]
if rel_type not in ("SOLVES", "CAUSES", "BUILDS_ON", "ALTERNATIVE_TO",
"REQUIRES", "FOLLOWS", "RELATED_TO"):
rel_type = "RELATED_TO"
incoming = {
"target": from_id,
"type": rel_type,
"direction": "incoming",
"strength": rel.get("strength", 0.5),
}
if rel.get("context"):
incoming["context"] = rel["context"]
to_rels.append(incoming)
to_fm["relations"] = to_rels
client._write_memory_file(to_path, to_fm, to_body)
print(f" Embedded {rel_count} outgoing relationships")
# Phase 3: Build _index.json
print("\nPhase 3: Building index...")
indexed = client.reindex()
print(f" Indexed {indexed} memories")
# Phase 4: Initialize _state.json with usage data
print("\nPhase 4: Initializing state with usage data...")
state = client._load_state()
now = datetime.now(timezone.utc)
for mem in memories:
mid = mem["id"]
usage_count = mem.get("usage_count", 0)
created_str = mem.get("created_at", "")
# Calculate initial decay
try:
created_dt = datetime.fromisoformat(created_str.replace("Z", "+00:00"))
if created_dt.tzinfo is None:
created_dt = created_dt.replace(tzinfo=timezone.utc)
days = (now - created_dt).total_seconds() / 86400
except (ValueError, AttributeError):
days = 30
mem_type = TYPE_MAP.get(mem["type"], "general")
type_weight = TYPE_WEIGHTS.get(mem_type, 1.0)
importance = mem.get("importance", 0.5)
decay_score = calculate_decay_score(importance, days, usage_count, type_weight)
state.setdefault("entries", {})[mid] = {
"access_count": usage_count,
"last_accessed": mem.get("updated_at", mem.get("created_at", now.isoformat())),
"decay_score": round(decay_score, 4),
}
client._save_state(state)
print(f" Initialized state for {len(state.get('entries', {}))} memories")
# Phase 5: Git commit all migrated files
print("\nPhase 5: Git commit...")
try:
import subprocess
subprocess.run(
["git", "add", "-A"],
cwd=str(MEMORY_DIR),
capture_output=True, timeout=30
)
subprocess.run(
["git", "commit", "-m",
f"migrate: {len(memories)} memories from MemoryGraph\n\n"
f"- {created_count} new markdown files created\n"
f"- {rel_count} relationships embedded\n"
f"- {indexed} entries indexed\n"
f"- State initialized with usage data"],
cwd=str(MEMORY_DIR),
capture_output=True, timeout=30
)
print(" Committed to git")
except Exception as e:
print(f" Warning: Git commit failed: {e}")
# Phase 6: Archive MemoryGraph database
print("\nPhase 6: Archiving MemoryGraph database...")
archive_path = MEMORYGRAPH_DB.with_suffix(".db.archive")
if not archive_path.exists():
import shutil
shutil.copy2(str(MEMORYGRAPH_DB), str(archive_path))
print(f" Archived to {archive_path}")
else:
print(f" Archive already exists at {archive_path}")
# Generate CORE.md
print("\nPhase 7: Generating CORE.md...")
client.core()
print(" CORE.md generated")
# Summary
print("\n" + "=" * 60)
print("Migration Complete!")
print("=" * 60)
print(f" Memories migrated: {len(memories)}")
print(f" Files created: {created_count}")
print(f" Files skipped: {skipped_count}")
print(f" Relations embedded: {rel_count}")
print(f" Index entries: {indexed}")
print(f" Memory dir: {MEMORY_DIR}")
print(f" Archive: {archive_path}")
def verify():
"""Verify migration integrity."""
print("Verifying migration integrity...\n")
if not MEMORYGRAPH_DB.exists():
# Try archive
archive = MEMORYGRAPH_DB.with_suffix(".db.archive")
if archive.exists():
db_path = archive
else:
print("Error: No MemoryGraph database found for verification")
sys.exit(1)
else:
db_path = MEMORYGRAPH_DB
# Load SQLite data
memories = load_sqlite_memories(db_path)
relationships = load_sqlite_relationships(db_path)
client = CognitiveMemoryClient()
index = client._load_index()
state = client._load_state()
errors = []
warnings = []
# Check 1: Count match
sqlite_count = len(memories)
md_count = len(index.get("entries", {}))
if sqlite_count != md_count:
errors.append(f"Count mismatch: SQLite={sqlite_count}, Index={md_count}")
else:
print(f"[OK] Memory count matches: {sqlite_count}")
# Check 2: All memories have files
missing_files = 0
for mid, entry in index.get("entries", {}).items():
path = MEMORY_DIR / entry.get("path", "")
if not path.exists():
missing_files += 1
if missing_files <= 5:
errors.append(f"Missing file: {entry.get('path')} ({entry.get('title', '')[:40]})")
if missing_files == 0:
print(f"[OK] All {md_count} files exist on disk")
else:
errors.append(f"Total missing files: {missing_files}")
# Check 3: State entries
state_count = len(state.get("entries", {}))
if state_count != sqlite_count:
warnings.append(f"State entry count mismatch: expected={sqlite_count}, got={state_count}")
else:
print(f"[OK] State entries match: {state_count}")
# Check 4: Spot check 5 random memories
import random
sample = random.sample(memories, min(5, len(memories)))
spot_ok = 0
for mem in sample:
path = client._resolve_memory_path(mem["id"])
if path:
fm, body = client._read_memory_file(path)
if fm.get("title") == mem["title"]:
spot_ok += 1
else:
warnings.append(
f"Title mismatch for {mem['id'][:8]}: "
f"SQLite='{mem['title'][:40]}', MD='{fm.get('title', '')[:40]}'"
)
else:
errors.append(f"Memory {mem['id'][:8]} not found in markdown: {mem['title'][:40]}")
print(f"[OK] Spot check: {spot_ok}/5 memories match")
# Check 5: Relationships
rel_in_index = sum(
len(entry.get("relations", []))
for entry in index.get("entries", {}).values()
)
# Each relationship creates 2 entries (outgoing + incoming)
expected_rel_entries = len(relationships) * 2
if rel_in_index < len(relationships):
warnings.append(
f"Relation count may be low: SQLite={len(relationships)}, "
f"Index entries={rel_in_index} (expected ~{expected_rel_entries})"
)
else:
print(f"[OK] Relationships: {len(relationships)} original, {rel_in_index} index entries")
# Check 6: Git status
try:
import subprocess
result = subprocess.run(
["git", "status", "--porcelain"],
cwd=str(MEMORY_DIR),
capture_output=True, text=True, timeout=5
)
if result.returncode == 0:
untracked = [l for l in result.stdout.strip().split("\n") if l.strip() and not l.startswith("??")]
if untracked:
warnings.append(f"Uncommitted changes in memory repo: {len(untracked)} files")
else:
print("[OK] Git repo clean")
else:
warnings.append("Not a git repo or git error")
except Exception:
warnings.append("Could not check git status")
# Check 7: CORE.md exists
core_path = MEMORY_DIR / "CORE.md"
if core_path.exists():
content = core_path.read_text()
print(f"[OK] CORE.md exists ({len(content)} chars)")
else:
warnings.append("CORE.md not found")
# Report
print()
if errors:
print(f"ERRORS ({len(errors)}):")
for e in errors:
print(f" [!] {e}")
if warnings:
print(f"WARNINGS ({len(warnings)}):")
for w in warnings:
print(f" [?] {w}")
if not errors and not warnings:
print("All checks passed!")
elif not errors:
print(f"\nMigration OK with {len(warnings)} warning(s)")
else:
print(f"\nMigration has {len(errors)} error(s) that need attention")
if __name__ == "__main__":
import argparse
parser = argparse.ArgumentParser(description="Migrate MemoryGraph to Cognitive Memory")
parser.add_argument("--dry-run", action="store_true", help="Preview without writing")
parser.add_argument("--verify", action="store_true", help="Verify migration integrity")
args = parser.parse_args()
if args.verify:
verify()
else:
migrate(dry_run=args.dry_run)

125
skills/optimise-claude/SKILL.md Normal file
View File

@ -0,0 +1,125 @@
---
name: claude-optimised
description: Guide for writing and optimizing CLAUDE.md files for maximum Claude Code performance. Use when creating new CLAUDE.md, reviewing existing ones, or when user asks about CLAUDE.md best practices. Covers structure, content, pruning, and common mistakes.
---
# CLAUDE.md Optimization Guide
Write CLAUDE.md files that maximize Claude's adherence and performance.
## Core Principle: Less Is More
Long CLAUDE.md = Claude ignores half of it. Critical rules get lost in noise.
**For each line ask:** "Would removing this cause Claude to make mistakes?"
- If no → delete it
- If Claude already does it correctly → delete it or convert to hook
## What to Include
### Essential (High Value)
| Section | Example |
|---------|---------|
| Project context | "Next.js e-commerce app with Stripe" (1 line) |
| Build/test commands | `npm run test`, `pnpm build` |
| Critical gotchas | "Never modify auth.ts directly" |
| Non-obvious conventions | "Use `vi` for state, not `useState`" |
| Domain terminology | "PO = Purchase Order, not Product Owner" |
### Include Only If Non-Standard
- Branch naming (if not `feature/`, `fix/`)
- Commit format (if not conventional commits)
- File boundaries (sensitive files to avoid)
### Do NOT Include
- Things Claude already knows (general coding practices)
- Obvious patterns (detectable from existing code)
- Lengthy explanations (be terse)
- Aspirational rules (only real problems you've hit)
## Structure
```markdown
# Project Name
One-line description.
## Commands
- Test: `npm test`
- Build: `npm run build`
- Lint: `npm run lint`
## Code Style
- [Only non-obvious conventions]
## Architecture
- [Brief, only if complex]
## IMPORTANT
- [Critical warnings - use sparingly]
```
## Formatting Rules
- **Bullet points** over paragraphs
- **Markdown headings** to separate modules (prevents instruction bleed)
- **Specific** over vague: "2-space indent" not "format properly"
- **IMPORTANT/YOU MUST** for critical rules (use sparingly or loses effect)
## File Placement
| Location | Scope |
|----------|-------|
| `~/.claude/CLAUDE.md` | All sessions (user prefs) |
| `./CLAUDE.md` | Project root (share via git) |
| `./subdir/CLAUDE.md` | Loaded when working in subdir |
| `.claude/rules/*.md` | Auto-loaded as project memory |
## Optimization Checklist
Before finalizing:
- [ ] Under 50 lines? (ideal target)
- [ ] Every line solves a real problem you've encountered?
- [ ] No redundancy with other CLAUDE.md locations?
- [ ] No instructions Claude follows by default?
- [ ] Tested by observing if Claude's behavior changes?
## Maintenance
- Run `/init` as starting point, then prune aggressively
- Every few weeks: "Review this CLAUDE.md and suggest removals"
- When Claude misbehaves: add specific rule
- When Claude ignores rules: file too long, prune other content
## Anti-Patterns
| Don't | Why |
|-------|-----|
| 200+ line CLAUDE.md | Gets ignored |
| "Write clean code" | Claude knows this |
| Duplicate rules across files | Wastes tokens, conflicts |
| Theoretical concerns | Only add for real problems |
| Long prose explanations | Use bullet points |
## Example: Minimal Effective CLAUDE.md
```markdown
# MyApp
React Native app with Expo. Backend is Supabase.
## Commands
- `pnpm test` - run tests
- `pnpm ios` - run iOS simulator
## Style
- Prefer Zustand over Context
- Use `clsx` for conditional classes
## IMPORTANT
- NEVER commit .env files
- Auth logic lives in src/lib/auth.ts only
```

127
skills/paper-dynasty/SKILL.md
View File

@ -54,30 +54,25 @@ A baseball card TCG with digital player cards, team collection, game simulation,
## Critical Rules
### API-Only Data Access
### CLI-First for ALL Operations
✅ **ALWAYS** use the API via `PaperDynastyAPI` client
✅ **ALWAYS** use CLI tools first — they handle auth, formatting, and error handling
❌ **NEVER** write raw Python API calls when a CLI command exists
❌ **NEVER** access local SQLite directly
```python
from api_client import PaperDynastyAPI
api = PaperDynastyAPI(environment='prod')
**paperdomo CLI** (queries, packs, gauntlet, teams):
```bash
python ~/.claude/skills/paper-dynasty/cli.py [command]
```
**For full API reference**: `reference/api-reference.md`
### CLI-First for Card Generation
✅ **ALWAYS** use `pd-cards` CLI with flags
❌ **NEVER** edit Python config files directly
**pd-cards CLI** (card generation, scouting, uploads):
```bash
cd /mnt/NV2/Development/paper-dynasty/card-creation
pd-cards retrosheet process 2005 -c 27 -d Live --end 20050615
pd-cards scouting all --cardset-id 27
pd-cards upload s3 --cardset "2005 Live"
pd-cards [command]
```
Only fall back to the Python API (`api_client.py`) for complex multi-step operations that the CLI doesn't cover (e.g., batch cleanup loops, custom card creation).
**For full CLI reference**: `reference/cli-reference.md`
---
@ -86,9 +81,9 @@ pd-cards upload s3 --cardset "2005 Live"
| Workflow | Trigger | Quick Command |
|----------|---------|---------------|
| **Database Sync** | "Sync prod to dev" / "Copy production database" | `~/.claude/skills/paper-dynasty/scripts/sync_prod_to_dev.sh` |
| **Gauntlet Cleanup** | "Clean up gauntlet team X" | `python scripts/gauntlet_cleanup.py wipe --team-abbrev X --event-id N` |
| **Pack Distribution** | "Give N packs to everyone" | `DATABASE=prod python scripts/distribute_packs.py --num-packs N` |
| **Database Sync** | "Sync prod to dev" | `~/.claude/skills/paper-dynasty/scripts/sync_prod_to_dev.sh` |
| **Gauntlet Cleanup** | "Clean up gauntlet team X" | `$PD gauntlet cleanup Gauntlet-X -e N -y` |
| **Pack Distribution** | "Give N packs to everyone" | `$PD pack distribute --num N` |
| **Scouting Update** | "Update scouting" | `pd-cards scouting all -c 27` |
| **Card Generation** | "Generate cards for 2005" | `pd-cards retrosheet process 2005 -c 27 -d Live` |
| **Custom Cards** | "Create custom player" | `pd-cards custom preview name` |
@ -97,9 +92,52 @@ pd-cards upload s3 --cardset "2005 Live"
**Detailed workflow docs**: `workflows/` directory
### Gauntlet Cleanup Safety
**Safe to clean**: Gauntlet teams (temporary), completed runs, eliminated teams
**Never clean**: Regular season teams, teams with active gameplay, before tournament ends
| Data | Action | Reversible? |
|------|--------|-------------|
| Cards | Unassigned (team = NULL) | Yes (reassign) |
| Packs | Deleted | No |
| Run Record | Ended (timestamp set) | Kept in DB |
| Team/Results/Stats | Preserved | Kept in DB |
**Batch cleanup** (all active runs in an event):
```python
runs = api.list_gauntlet_runs(event_id=8, active_only=True)
for run in runs:
team_id = run['team']['id']
api.wipe_team_cards(team_id)
for pack in api.list_packs(team_id=team_id):
api.delete_pack(pack['id'])
api.end_gauntlet_run(run['id'])
```
### Database Sync Notes
**Restore a dev backup**:
```bash
BACKUP_FILE=~/.paper-dynasty/db-backups/paperdynasty_dev_YYYYMMDD_HHMMSS.sql
ssh pd-database "docker exec -i sba_postgres psql -U sba_admin -d paperdynasty_dev" < "$BACKUP_FILE"
```
**Manual fallback** (if script fails):
```bash
ssh akamai "docker exec sba_postgres pg_dump -U pd_admin -d pd_master --clean --if-exists" > /tmp/pd_prod_dump.sql
ssh pd-database "docker exec -i sba_postgres psql -U sba_admin -d paperdynasty_dev" < /tmp/pd_prod_dump.sql
```
**Large databases**: Pipe through `gzip`/`gunzip` for compressed transfer.
---
## Discord Bot Quick Commands
## Discord Bot
**Server**: `sba-bots` (10.10.0.88) | **Container**: `paper-dynasty_discord-app_1` | **Compose Dir**: `/home/cal/container-data/paper-dynasty/`
Related services: PostgreSQL (`paper-dynasty_db_1`), Adminer (`paper-dynasty_adminer_1`, port 8080 — user: `postgres`, pass: `example`, server: `db`)
```bash
# Check status
@ -118,21 +156,37 @@ ssh sba-bots "cd /home/cal/container-data/paper-dynasty && docker compose restar
ssh sba-bots "docker exec -it paper-dynasty_db_1 psql -U postgres"
```
**Full troubleshooting**: `workflows/discord-app-troubleshooting.md`
**Key env vars** (in docker-compose.yml): `BOT_TOKEN`, `GUILD_ID`, `API_TOKEN`, `DATABASE` (Prod/Dev), `LOG_LEVEL`, `DB_URL` (usually `db`), `SCOREBOARD_CHANNEL`
---
## Common Patterns
**Team queries**: `api.get_team(abbrev='SKB')` or `api.list_teams(season=5)`
```bash
PD="python ~/.claude/skills/paper-dynasty/cli.py"
**Card queries**: `api.list_cards(team_id=69)` or `api.list_players(rarity='MVP')`
# Teams
$PD team get SKB # Single team details
$PD team list --season 10 # All teams in a season
$PD team cards SKB # Team's card collection
**Gauntlet**: `api.list_gauntlet_runs(event_id=8, active_only=True)`
# Players
$PD player get 12785 # Single player details
$PD player list --rarity MVP --cardset 27 # Filtered player list
**Pack distribution**: `api.distribute_packs(num_packs=10, exclude_team_abbrev=['CAR'])`
# Packs
$PD status # Packs opened today
$PD pack list --team SKB --unopened # Team's unopened packs
$PD pack distribute --num 10 # Give 10 packs to all teams
$PD pack distribute --num 5 --exclude CAR # Exclude a team
**For detailed examples**: `reference/api-reference.md`
# Gauntlet
$PD gauntlet list --active # Active gauntlet runs
$PD gauntlet teams --active # Active gauntlet teams
$PD gauntlet cleanup Gauntlet-SKB -e 9 -y # Wipe a gauntlet team
```
Add `--json` to any command for machine-readable output. Add `--env dev` for dev database.
---
@ -163,8 +217,13 @@ pd-cards upload s3 -c "2005 Live" # S3 upload
### paperdomo Commands
```bash
python ~/.claude/skills/paper-dynasty/cli.py status # Packs opened today
python ~/.claude/skills/paper-dynasty/cli.py health # API health check
PD="python ~/.claude/skills/paper-dynasty/cli.py"
$PD health # API health check
$PD status # Packs opened today
$PD team list/get/cards # Team operations
$PD player get/list # Player operations
$PD pack list/today/distribute # Pack operations
$PD gauntlet list/teams/cleanup # Gauntlet operations
```
---
@ -181,12 +240,10 @@ python ~/.claude/skills/paper-dynasty/cli.py health # API health check
│ ├── api-reference.md # Endpoints, authentication, client examples
│ └── cli-reference.md # Full paperdomo & pd-cards commands
├── workflows/
│ ├── gauntlet-cleanup.md
│ ├── card-generation.md
│ ├── card-refresh.md
│ ├── custom-card-creation.md
│ ├── discord-app-troubleshooting.md
│ └── TROUBLESHOOTING.md # Card rendering issues
│ ├── card_utilities.py # Card refresh pipeline (fetch → S3 → update)
│ ├── custom-card-creation.md # Archetypes, manual creation, rating rules
│ └── TROUBLESHOOTING.md # Card rendering issues
└── scripts/
├── distribute_packs.py
├── gauntlet_cleanup.py
@ -207,11 +264,9 @@ python ~/.claude/skills/paper-dynasty/cli.py health # API health check
| Database model details | `reference/database-schema.md` |
| API endpoints & client usage | `reference/api-reference.md` |
| Full CLI command reference | `reference/cli-reference.md` |
| Database sync workflow | `workflows/database-sync.md` |
| Card rendering issues | `workflows/TROUBLESHOOTING.md` |
| Bot server debugging | `workflows/discord-app-troubleshooting.md` |
---
**Last Updated**: 2025-01-30
**Version**: 2.0 (Refactored to reference-based structure)
**Last Updated**: 2026-02-12
**Version**: 2.5 (CLI-first: rewrote Critical Rules, Common Patterns, and Workflows to prefer CLI over raw API calls)

41
skills/paper-dynasty/api_client.py
View File

@ -39,7 +39,7 @@ class PaperDynastyAPI:
Args:
environment: 'prod' or 'dev'
token: API token (defaults to API_TOKEN env var)
token: API token (defaults to API_TOKEN env var). Only required for write operations (POST/PATCH/DELETE).
verbose: Print request/response details
"""
self.env = environment.lower()
@ -51,17 +51,18 @@ class PaperDynastyAPI:
self.token = token or os.getenv('API_TOKEN')
self.verbose = verbose
self.headers = {'Content-Type': 'application/json'}
if self.token:
self.headers['Authorization'] = f'Bearer {self.token}'
def _require_token(self):
"""Raise if no API token is set (needed for write operations)"""
if not self.token:
raise ValueError(
"API_TOKEN environment variable required. "
"API_TOKEN required for write operations. "
"Set it with: export API_TOKEN='your-token-here'"
)
self.headers = {
'Authorization': f'Bearer {self.token}',
'Content-Type': 'application/json'
}
def _log(self, message: str):
"""Print message if verbose mode enabled"""
if self.verbose:
@ -94,6 +95,7 @@ class PaperDynastyAPI:
def post(self, endpoint: str, payload: Optional[Dict] = None, timeout: int = 10) -> Any:
"""POST request to API"""
self._require_token()
url = self._build_url(endpoint)
self._log(f"POST {url}")
response = requests.post(url, headers=self.headers, json=payload, timeout=timeout)
@ -102,6 +104,7 @@ class PaperDynastyAPI:
def patch(self, endpoint: str, object_id: int, params: List, timeout: int = 10) -> Dict:
"""PATCH request to API"""
self._require_token()
url = self._build_url(endpoint, object_id=object_id, params=params)
self._log(f"PATCH {url}")
response = requests.patch(url, headers=self.headers, timeout=timeout)
@ -110,6 +113,7 @@ class PaperDynastyAPI:
def delete(self, endpoint: str, object_id: int, timeout: int = 10) -> str:
"""DELETE request to API"""
self._require_token()
url = self._build_url(endpoint, object_id=object_id)
self._log(f"DELETE {url}")
response = requests.delete(url, headers=self.headers, timeout=timeout)
@ -180,7 +184,7 @@ class PaperDynastyAPI:
def list_cards(self, team_id: Optional[int] = None, player_id: Optional[int] = None) -> List[Dict]:
"""
List cards
List cards. At least one filter is required to avoid massive unfiltered queries.
Args:
team_id: Filter by team
@ -189,6 +193,9 @@ class PaperDynastyAPI:
Returns:
List of card dicts
"""
if not team_id and not player_id:
raise ValueError("list_cards requires at least one filter (team_id or player_id)")
params = []
if team_id:
params.append(('team_id', team_id))
@ -233,6 +240,9 @@ class PaperDynastyAPI:
# Large query with extended timeout
packs = api.list_packs(opened=True, limit=2000, timeout=30)
"""
if team_id is None and opened is None:
raise ValueError("list_packs requires at least one filter (team_id or opened)")
params = []
if team_id:
params.append(('team_id', team_id))
@ -526,24 +536,28 @@ class PaperDynastyAPI:
"""
return self.get('players', object_id=player_id)
def list_players(self, cardset_id: Optional[int] = None, rarity: Optional[str] = None) -> List[Dict]:
def list_players(self, cardset_id: Optional[int] = None, rarity: Optional[str] = None, timeout: int = 30) -> List[Dict]:
"""
List players
List players. At least one filter is required to avoid massive unfiltered queries.
Args:
cardset_id: Filter by cardset
rarity: Filter by rarity
timeout: Request timeout in seconds (default: 30, player lists are large)
Returns:
List of player dicts
"""
if not cardset_id and not rarity:
raise ValueError("list_players requires at least one filter (cardset_id or rarity)")
params = []
if cardset_id:
params.append(('cardset', cardset_id))
if rarity:
params.append(('rarity', rarity))
result = self.get('players', params=params if params else None)
result = self.get('players', params=params, timeout=timeout)
return result.get('players', [])
# ====================
@ -552,7 +566,7 @@ class PaperDynastyAPI:
def list_results(self, season: Optional[int] = None, team_id: Optional[int] = None) -> List[Dict]:
"""
List game results
List game results. At least one filter is required to avoid massive unfiltered queries.
Args:
season: Filter by season
@ -561,6 +575,9 @@ class PaperDynastyAPI:
Returns:
List of result dicts
"""
if not season and not team_id:
raise ValueError("list_results requires at least one filter (season or team_id)")
params = []
if season:
params.append(('season', season))

31
skills/paper-dynasty/cli.py
View File

@ -107,16 +107,8 @@ def main(
verbose: Annotated[bool, typer.Option("--verbose", "-v", help="Verbose output")] = False,
):
"""Paper Dynasty Baseball Card Game CLI"""
try:
state.api = PaperDynastyAPI(environment=env, verbose=verbose)
state.json_output = json_output
except ValueError as e:
console.print(f"[red]Configuration Error:[/red] {e}")
console.print("\nSet API_TOKEN environment variable:")
console.print(" export API_TOKEN='your-token-here'")
raise typer.Exit(1)
except Exception as e:
handle_error(e)
state.api = PaperDynastyAPI(environment=env, verbose=verbose)
state.json_output = json_output
# ============================================================================
@ -352,7 +344,7 @@ def pack_today():
def pack_distribute(
num: Annotated[int, typer.Option("--num", "-n", help="Number of packs per team")] = 5,
exclude: Annotated[Optional[List[str]], typer.Option("--exclude", "-x", help="Team abbrevs to exclude")] = None,
pack_type: Annotated[int, typer.Option("--pack-type", help="Pack type ID (1=Standard)")] = 1,
pack_type: Annotated[int, typer.Option("--pack-type", help="1=Standard, 2=Starter, 3=Premium, 4=Check-In, 5=MVP, 6=All Star, 7=Mario, 8=Team Choice, 9=Promo Choice")] = 1,
dry_run: Annotated[bool, typer.Option("--dry-run", help="Show what would be done")] = False,
):
"""Distribute packs to all human teams"""
@ -431,13 +423,14 @@ def gauntlet_list(
rows = []
for r in runs:
team = r.get('team', {})
is_active = "Active" if r.get('ended', 0) == 0 else "Ended"
is_active = "Active" if r.get('ended') is None else "Ended"
gauntlet = r.get('gauntlet', {})
rows.append([
r['id'],
team.get('abbrev', 'N/A'),
r.get('wins', 0),
r.get('losses', 0),
r.get('gauntlet_id', 'N/A'),
gauntlet.get('id', 'N/A'),
is_active
])
@ -573,20 +566,22 @@ def player_get(
# Get positions
positions = []
for i in range(1, 9):
pos = player.get(f'pos{i}')
pos = player.get(f'pos_{i}')
if pos:
positions.append(pos)
cardset = player.get('cardset', {})
rarity = player.get('rarity', {})
rarity_name = rarity.get('name', 'N/A') if isinstance(rarity, dict) else rarity
panel = Panel(
f"[bold]ID:[/bold] {player['player_id']}\n"
f"[bold]Name:[/bold] {player.get('p_name', 'Unknown')}\n"
f"[bold]Rarity:[/bold] {player.get('rarity', 'N/A')}\n"
f"[bold]Rarity:[/bold] {rarity_name}\n"
f"[bold]Cost:[/bold] {player.get('cost', 0)}\n"
f"[bold]Positions:[/bold] {', '.join(positions) if positions else 'N/A'}\n"
f"[bold]Cardset:[/bold] {cardset.get('name', 'N/A')} (ID: {cardset.get('id', 'N/A')})\n"
f"[bold]Bats/Throws:[/bold] {player.get('bats', 'N/A')}/{player.get('throws', 'N/A')}",
f"[bold]Hand:[/bold] {player.get('hand', 'N/A')}",
title=f"Player: {player.get('p_name', 'Unknown')}",
border_style="blue",
)
@ -617,10 +612,12 @@ def player_list(
rows = []
for p in players[:limit]:
cs = p.get('cardset', {})
rarity = p.get('rarity', {})
rarity_name = rarity.get('name', '') if isinstance(rarity, dict) else rarity
rows.append([
p['player_id'],
p.get('p_name', 'Unknown'),
p.get('rarity', ''),
rarity_name,
p.get('cost', 0),
cs.get('name', 'N/A')
])

982
skills/paper-dynasty/workflows/card-generation.md
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241
skills/paper-dynasty/workflows/card-refresh.md
View File

@ -1,241 +0,0 @@
# Card Refresh Workflow
## Purpose
Regenerate and upload player card images to S3 after database updates (ratings, handedness, positions, etc.)
## When to Use
- After fixing player data (handedness, positions, stats)
- When cards display incorrect cached data
- After bulk updates to cardsets
- When S3 URLs need cache-busting
## Key Concept: Card Caching
The Paper Dynasty API caches generated card images by date. When you access:
```
/v2/players/{id}/battingcard?d=2025-11-11
```
The API generates the card once and caches it. Future requests with the same date return the cached image, even if database data changed.
**Solution**: Use tomorrow's date (or any future date) to force regeneration with fresh data.
## Workflow Steps
### 1. Identify Players to Refresh
```python
# Option A: Specific player IDs
player_ids = [12785, 12788, 12854]
# Option B: All players in a cardset
from api_client import PaperDynastyAPI
api = PaperDynastyAPI(environment='prod')
players = api.get('players', params=[('cardset_id', 27)])['players']
player_ids = [p['player_id'] for p in players]
# Option C: Players matching criteria
players = api.get('players', params=[
('cardset_id', 27),
('pos_include', 'SP')
])['players']
```
### 2. Set Cache-Busting Date
```python
from datetime import datetime, timedelta
# Use tomorrow's date
tomorrow = datetime.now() + timedelta(days=1)
cache_bust_date = f"{tomorrow.year}-{tomorrow.month}-{tomorrow.day}"
# Or use a specific future date
cache_bust_date = "2025-11-12"
```
### 3. Fetch and Upload Cards
Use the utility functions (see utilities.py):
```python
from workflows.card_utilities import (
regenerate_cards_for_players,
upload_cards_to_s3,
update_player_image_urls
)
# Full pipeline
results = regenerate_cards_for_players(
player_ids=player_ids,
cardset_id=27,
cache_bust_date=cache_bust_date,
upload_to_s3=True,
update_player_records=True,
environment='prod'
)
# Or step-by-step
local_files = regenerate_cards_for_players(
player_ids=player_ids,
cardset_id=27,
cache_bust_date=cache_bust_date,
upload_to_s3=False # Just download
)
s3_urls = upload_cards_to_s3(
local_files=local_files,
cardset_id=27,
cache_bust_date=cache_bust_date
)
update_player_image_urls(
player_ids=player_ids,
s3_urls=s3_urls,
environment='prod'
)
```
### 4. Verify Results
```python
# Check a few players
for player_id in player_ids[:3]:
player = api.get('players', object_id=player_id)
print(f"{player['p_name']}: {cache_bust_date in player['image']}")
```
## S3 Path Structure
Cards are uploaded to:
```
s3://paper-dynasty/cards/cardset-{cardset_id:03d}/player-{player_id}/battingcard.png?d={date}
```
Example:
```
s3://paper-dynasty/cards/cardset-027/player-12785/battingcard.png?d=2025-11-12
```
The query parameter `?d={date}` acts as a cache-buster for CloudFront/browser caches.
## Common Use Cases
### Fix Switch Hitter Handedness
```python
# After correcting battingcard.hand in database
switch_hitters = [12785, 12788, 12854, 12735, 12858, 12786, 12852, 12727, 12757, 12831, 12748]
regenerate_cards_for_players(
player_ids=switch_hitters,
cardset_id=27,
cache_bust_date="2025-11-12",
upload_to_s3=True,
update_player_records=True
)
```
### Refresh Entire Cardset
```python
# After running retrosheet_data.py or live_series_update.py
all_players = api.get('players', params=[('cardset_id', 27)])['players']
player_ids = [p['player_id'] for p in all_players]
regenerate_cards_for_players(
player_ids=player_ids,
cardset_id=27,
cache_bust_date="2025-11-12",
upload_to_s3=True,
update_player_records=True,
batch_size=50 # Process in batches to avoid timeouts
)
```
### Update Position Players Only
```python
# After fixing defensive ratings
batters = api.get('players', params=[
('cardset_id', 27),
('pos_exclude', 'SP'),
('pos_exclude', 'RP')
])['players']
player_ids = [p['player_id'] for p in batters]
regenerate_cards_for_players(player_ids, 27, cache_bust_date="2025-11-12")
```
## Troubleshooting
### Cards Still Show Old Data
1. Verify database has correct values (check battingcards/pitchingcards tables)
2. Ensure cache_bust_date is in the future
3. Check S3 upload succeeded (verify file exists in S3 console)
4. Confirm player.image URL updated with new date
5. Clear browser cache / use incognito mode
### S3 Upload Fails
1. Check AWS credentials: `aws sts get-caller-identity`
2. Verify IAM permissions (s3:PutObject, s3:GetObject)
3. Check bucket name: `paper-dynasty` (us-east-1)
4. Ensure local file exists before upload
### API Returns 404 for Card
1. Verify player has batting/pitching card record
2. Check battingcard/pitchingcard variant (default is 0)
3. Ensure player_id exists in players table
4. For pitchers, use `/pitchingcard` not `/battingcard`
## Performance Notes
- Fetching cards is slow (~2-5 seconds per card for generation)
- Use async/parallel requests for bulk operations
- Process in batches of 50-100 to avoid timeouts
- S3 uploads are fast (~100ms per file)
## AWS Configuration
Requires AWS CLI configured with credentials:
```bash
aws configure
# Or use environment variables:
export AWS_ACCESS_KEY_ID=xxx
export AWS_SECRET_ACCESS_KEY=xxx
export AWS_DEFAULT_REGION=us-east-1
```
## Related Files
- `/home/cal/.claude/skills/paper-dynasty/workflows/card_utilities.py` - Utility functions
- `/mnt/NV2/Development/paper-dynasty/card-creation/check_cards_and_upload.py` - Original upload script
- `/mnt/NV2/Development/paper-dynasty/card-creation/fix_switch_hitters.py` - Example implementation
## Example: Complete Refresh Script
```python
#!/usr/bin/env python3
"""Refresh all cards for 2005 Live cardset"""
import sys
from datetime import datetime, timedelta
sys.path.insert(0, '/home/cal/.claude/skills/paper-dynasty')
from api_client import PaperDynastyAPI
from workflows.card_utilities import regenerate_cards_for_players
# Configuration
CARDSET_ID = 27
ENVIRONMENT = 'prod'
tomorrow = datetime.now() + timedelta(days=1)
CACHE_BUST_DATE = f"{tomorrow.year}-{tomorrow.month}-{tomorrow.day}"
# Get all players in cardset
api = PaperDynastyAPI(environment=ENVIRONMENT)
players = api.get('players', params=[('cardset_id', CARDSET_ID)])['players']
player_ids = [p['player_id'] for p in players]
print(f"Refreshing {len(player_ids)} cards for cardset {CARDSET_ID}")
print(f"Cache-bust date: {CACHE_BUST_DATE}")
# Regenerate and upload
results = regenerate_cards_for_players(
player_ids=player_ids,
cardset_id=CARDSET_ID,
cache_bust_date=CACHE_BUST_DATE,
upload_to_s3=True,
update_player_records=True,
environment=ENVIRONMENT,
batch_size=50
)
print(f"\nCompleted: {results['success']} / {results['total']}")
print(f"Failures: {len(results['failures'])}")
```

18
skills/paper-dynasty/workflows/card_utilities.py
View File

@ -3,6 +3,24 @@
Card Refresh Utility Functions
Reusable functions for regenerating and uploading player cards to S3.
HOW CACHING WORKS:
The API caches generated card images by the `d=YYYY-M-D` query parameter.
Once a card is rendered for a given date, subsequent requests return the cached
image — even if the underlying database data changed. To force regeneration,
pass a future date (typically tomorrow) as cache_bust_date.
TROUBLESHOOTING STALE CARDS:
1. Verify the database has correct values (battingcards / pitchingcards tables)
2. Ensure cache_bust_date is a future date (not today or earlier)
3. Confirm S3 upload succeeded (file exists in s3://paper-dynasty/cards/...)
4. Confirm player.image URL was updated with the new date
5. Clear browser cache / use incognito — CloudFront may also cache
S3 UPLOAD ISSUES:
- Check AWS creds: `aws sts get-caller-identity`
- Bucket: paper-dynasty (us-east-1)
- Required IAM permissions: s3:PutObject, s3:GetObject
"""
import os
import sys

712
skills/paper-dynasty/workflows/custom-card-creation.md
View File

@ -1,300 +1,41 @@
# Custom Card Creation Workflow
# Custom Card Creation
## Purpose
Create fictional player cards for Paper Dynasty using baseball archetypes without needing real statistics.
Create fictional player cards using baseball archetypes (interactive tool) or manually create custom player database records via API calls.
## When to Use
- Creating promotional/event cards for fictional players
- Building custom rosters for special game modes
- Testing new card mechanics
- Creating themed card sets (e.g., "Legends", "Future Stars", "Fantasy Heroes")
## Interactive Creator
## Overview
This workflow provides an interactive system to:
1. Select baseball archetypes (e.g., "Power Slugger", "Ace Pitcher", "Speedster")
2. Define player details (name, team, positions, handedness)
3. Review calculated D20 ratings based on the archetype
4. Iteratively tweak ratings to achieve desired player profile
5. Automatically create all database records (Player, Card, Ratings, Positions)
## Location
**Script**: `/mnt/NV2/Development/paper-dynasty/card-creation/custom_cards/interactive_creator.py`
**Supporting**: `archetype_definitions.py`, `archetype_calculator.py`
**Supporting Files**:
- `archetype_definitions.py` - Baseball archetype profiles
- `archetype_calculator.py` - Converts archetypes to D20 game mechanics
- `__init__.py` - Package exports
## Quick Start
### Option 1: Run Script Directly
```bash
cd /mnt/NV2/Development/paper-dynasty/card-creation
source venv/bin/activate
python -m custom_cards.interactive_creator
```
### Option 2: Via Paper Dynasty Skill
Simply say: "Create custom cards" or "I want to make fictional player cards"
The interactive creator handles: cardset setup, archetype selection, rating calculation, review/tweak, database creation, S3 upload.
Claude will:
1. Navigate to the card-creation directory
2. Activate the virtual environment
3. Launch the interactive workflow
4. Guide you through the process
### Archetypes
## Workflow Steps
**Batter**: Power Slugger, Contact Hitter, Speedster, Balanced Star, Patient Walker, Slap Hitter, Three True Outcomes, Defensive Specialist
### 1. Cardset Setup
- Specify target cardset name (e.g., "Custom Players 2025")
- System searches for existing cardset or creates new one
- Configure season year and player description prefix
**Pitcher**: Ace, Power Pitcher, Finesse Pitcher, Groundball Specialist, Dominant Closer, Setup Man, Swingman, Lefty Specialist
### 2. Player Creation Loop
For each player:
---
#### A. Select Player Type
- Batter or Pitcher
## Manual Creation: Database Submission Template
#### B. Choose Archetype
**Batter Archetypes**:
- Power Slugger - High HR, lower average, high K rate
- Contact Hitter - High average, low K, gap power
- Speedster - Elite speed, slap hitter, excellent defense
- Balanced Star - Well-rounded five-tool player
- Patient Walker - Elite plate discipline, high OBP
- Slap Hitter - Opposite field, puts ball in play
- Three True Outcomes - Extreme power/walks, very high K
- Defensive Specialist - Elite defense, weak bat
**Pitcher Archetypes**:
- Ace - Elite starter, dominates both sides
- Power Pitcher - High velocity, high K, some walks
- Finesse Pitcher - Command specialist, weak contact
- Groundball Specialist - Induces grounders, low HR
- Dominant Closer - Elite short relief, shuts down late innings
- Setup Man - Solid late-inning reliever
- Swingman - Can start or relieve, versatile
- Lefty Specialist - LOOGY type, dominates lefties
#### C. Player Information
- First and last name
- Batting/throwing hand (R, L, or S for switch)
- MLB team affiliation
- Defensive positions (batters only)
#### D. Review & Tweak
System displays calculated ratings:
- AVG / OBP / SLG / OPS for each split (vs L, vs R)
- Hit distribution (HR, 3B, 2B, 1B)
- Walk/strikeout rates
- Batted ball distribution
- Total OPS (using Paper Dynasty formula)
- Baserunning ratings (batters only)
Options:
1. Accept these ratings (proceed to create)
2. Tweak archetype percentages (adjust power, contact, etc.)
3. Manually adjust specific D20 ratings
4. Start over with different archetype
#### E. Database Creation
System automatically creates:
- MLBPlayer record (if needed)
- Player record with image URL (`image="https://pd.manticorum.com/api/v2/players/{player_id}/<batt|pitch>ingcard?d=<YYYY-MM-DD>"`)
- BattingCard or PitchingCard
- BattingCardRatings or PitchingCardRatings (vs L and vs R)
- CardPosition records
#### F. Image Generation & AWS Upload
After database creation, system automatically:
1. **Trigger Card Generation**: GET request to `Player.image` URL to render the card PNG
2. **Fetch Card Image**: Download the generated PNG image bytes from API
3. **Upload to S3**: POST image to AWS S3 bucket at `cards/cardset-{cardset_id:03d}/player-{player_id}/{batting|pitching}card.png?d={release_date}`
4. **Update Player Record**: PATCH player with new S3 URL (replaces API URL with S3 CDN URL)
**S3 Configuration** (from `check_cards_and_upload.py`):
- Bucket: `paper-dynasty`
- Region: `us-east-1`
- Cache-Control: `public, max-age=300` (5 minute cache)
- Content-Type: `image/png`
- URL format includes cache-busting query parameter with date
**Why This Matters**:
- S3 provides fast CDN delivery for card images
- Reduces API server load (nginx gateway caches S3 URLs)
- Consistent URL structure for all card images
- Cache-busting ensures updated cards display immediately
### 3. Continue or Exit
After each player, choose to create another or finish.
## Technical Details
### Archetype System
Archetypes define traditional baseball stats:
- Batting: AVG, OBP, SLG, K%, BB%, power distribution, batted ball profile, spray chart
- Pitching: Stats against (AVG, OBP, SLG, K%, BB%), batted ball profile, role ratings
### Rating Calculation
The calculator converts traditional stats to D20 game mechanics:
- All ratings sum to 108 chances (D20 * 5.4 for 20-sided die system)
- Distributes hits among HR, 3B, 2B, 1B based on power profile
- Allocates outs among K, lineouts, flyouts, groundouts
- Applies spray chart distribution (pull/center/opposite field)
- Calculates baserunning from speed ratings
### Total OPS Formula
- **Batters**: `(OPS_vR + OPS_vL + min(OPS_vL, OPS_vR)) / 3`
- **Pitchers**: `(OPS_vR + OPS_vL + max(OPS_vL, OPS_vR)) / 3`
This formula determines rarity and card cost.
### Custom Player Identifiers
- Custom players use synthetic IDs: `custom_lastnamefirstinitial01`
- Example: "John Smith" → `custom_smithj01`
- Marked with `is_custom: True` flag in database
- No real baseball IDs (fangraphs_id=0, mlbam_id=0)
## Environment Requirements
### Python Environment
Must be run with virtual environment activated:
```bash
source /mnt/NV2/Development/paper-dynasty/card-creation/venv/bin/activate
```
### API Access
Requires API authentication via `db_calls.py`:
- Production: `https://pd.manticorum.com/api`
- Development: `https://pddev.manticorum.com/api`
Set via `alt_database` variable in `db_calls.py`
### Database Permissions
Script performs:
- GET (cardsets, players, battingcards, pitchingcards)
- POST (mlbplayers, players, cardpositions)
- PUT (battingcards/ratings, pitchingcards/ratings)
## Example Session
```
PAPER DYNASTY - CUSTOM CARD CREATOR
==================================================================
Create fictional player cards using baseball archetypes.
CARDSET SETUP
------------------------------------------------------------------
Enter cardset name: Custom Heroes 2025
Cardset not found. Create new cardset? yes
Enter season year: 2025
Ranked legal? no
Available in packs? yes
✓ Created new cardset: Custom Heroes 2025 (ID: 30)
PLAYER TYPE
------------------------------------------------------------------
1. Batter
2. Pitcher
3. Quit
Select player type: 1
BATTER ARCHETYPES
==================================================================
1. Power Slugger (power_slugger)
High power, lots of home runs, lower average, high strikeout rate
vs RHP: 0.240/0.320/0.480 (OPS: 0.800)
vs LHP: 0.250/0.330/0.500 (OPS: 0.830)
Speed: 4/10 | Positions: LF, RF, 1B, DH
...
Select archetype: 1
PLAYER INFORMATION
------------------------------------------------------------------
First name: Zeus
Last name: Thunder
Batting hand: 1 (Right)
MLB Team: 15 (New York Yankees)
Positions: RF DH
REVIEW & TWEAK RATINGS
==================================================================
Zeus Thunder (R) - NYY
----------------------------------------------------------------------
VS LHP:
AVG: 0.250 OBP: 0.330 SLG: 0.500 OPS: 0.830
Hits: 32.4 (HR: 5.2 3B: 0.3 2B: 8.1 1B: 18.8)
BB: 12.9 HBP: 1.4 K: 24.2
VS RHP:
AVG: 0.240 OBP: 0.320 SLG: 0.480 OPS: 0.800
Hits: 31.1 (HR: 5.0 3B: 0.3 2B: 7.8 1B: 18.0)
BB: 11.7 HBP: 1.3 K: 27.2
Total OPS: 0.810
Baserunning:
Steal: 8-5 (Auto: 0, Jump: 4)
Running: 5/10 Hit-and-Run: 4/10
Options:
1. Accept these ratings
2. Tweak archetype percentages
3. Manually adjust specific ratings
4. Start over with different archetype
Select: 1
CREATING DATABASE RECORDS
------------------------------------------------------------------
✓ Created MLBPlayer record (ID: 1534)
✓ Created Player record (ID: 8421)
✓ Created batting card
✓ Created batting ratings
✓ Created 2 position record(s)
GENERATING & UPLOADING CARD IMAGE
------------------------------------------------------------------
✓ Triggered card generation at API
✓ Fetched card image (42.3 KB)
✓ Uploaded to S3: cards/cardset-030/player-8421/battingcard.png
✓ Updated player record with S3 URL
✓ Zeus Thunder created successfully!
Create another custom player? no
Custom card creation complete!
```
## Future Enhancements
- [ ] Implement archetype percentage tweaking (option 2)
- [ ] Implement manual D20 rating adjustments (option 3)
- [ ] Add defensive rating calculator for each position
- [ ] Import/export player profiles as JSON
- [ ] Batch creation from CSV file
- [ ] Visual card preview during review
- [ ] Save favorite custom archetypes
## Quick Reference: Minimal Database Submission Template
When creating a custom player manually (not using interactive_creator.py), use this template:
When creating a custom player without the interactive tool:
```python
import asyncio
from db_calls import db_post, db_put, db_patch
from db_calls import db_post, db_put, db_patch, db_get
from creation_helpers import mlbteam_and_franchise
from custom_cards.archetype_calculator import BatterRatingCalculator
import boto3
from datetime import datetime
# 1. Calculate ratings using BatterRatingCalculator
# 2. Get team info
# 1. Create Player (ASK USER for cost and rarity_id - NEVER make up values)
mlb_team_id, franchise_id = mlbteam_and_franchise('FA')
# 3. Create Player (ASK USER for cost and rarity_id - NEVER make up values)
player_payload = {
'p_name': 'Player Name',
'cost': '88', # STRING - user specifies
@ -313,269 +54,210 @@ player_payload = {
player = await db_post('players', payload=player_payload)
player_id = player['player_id']
# 4. Create BattingCard/PitchingCard (use db_put)
await db_put('battingcards', payload={'cards': [...]}, timeout=10)
# 2. Create BattingCard
batting_card = {
'player_id': player_id,
'key_bbref': 'custom_playerp01',
'key_fangraphs': 0,
'key_mlbam': 0,
'key_retro': '',
'name_first': 'Player',
'name_last': 'Name',
'steal_low': 7, # 0-20 scale (2d10)
'steal_high': 11, # 0-20 scale (2d10)
'steal_auto': 0, # 0 or 1
'steal_jump': 0.055, # 0.0-1.0 (fraction of 36)
'hit_and_run': 'A', # A, B, C, or D
'running': 12, # 8-17 scale
'hand': 'R' # R, L, or S
}
await db_put('battingcards', payload={'cards': [batting_card]}, timeout=10)
# 5. Create Ratings (use db_put)
await db_put('battingcardratings', payload={'ratings': [...]}, timeout=10)
bc_result = await db_get('battingcards', params=[('player_id', player_id)])
battingcard_id = bc_result['cards'][0]['id']
# 6. Create Positions (use db_put, NOT db_post)
await db_put('cardpositions', payload={'positions': [...]}, timeout=10)
# 3. Create BattingCardRatings (one per opposing hand — see full field ref below)
rating_vl = {
'battingcard_id': battingcard_id,
'bat_hand': 'R',
'vs_hand': 'L',
# Hits
'homerun': 0.55,
'bp_homerun': 1.00, # MUST be whole number (0, 1, 2, or 3)
'triple': 0.80,
'double_three': 0.00, # Usually 0.00 (reserved)
'double_two': 5.60,
'double_pull': 2.95,
'single_two': 10.35,
'single_one': 4.95,
'single_center': 8.45,
'bp_single': 5.00, # MUST be whole number (usually 5.0)
# On-base
'walk': 8.15,
'hbp': 0.90,
# Outs
'strikeout': 13.05,
'lineout': 11.60,
'popout': 0.00, # Usually 0.00 (added during image gen)
'flyout_a': 0.00, # Only 1.0 for power hitters (HR% > 10%)
'flyout_bq': 5.30,
'flyout_lf_b': 4.55,
'flyout_rf_b': 3.70,
'groundout_a': 9.45, # Double play balls
'groundout_b': 6.55,
'groundout_c': 5.10,
# Percentages
'hard_rate': 0.33,
'med_rate': 0.50,
'soft_rate': 0.17,
'pull_rate': 0.38,
'center_rate': 0.36,
'slap_rate': 0.26
}
# Create matching rating_vr with vs_hand='R' and different values
await db_put('battingcardratings', payload={'ratings': [rating_vl, rating_vr]}, timeout=10)
# 7. Generate card image and upload to S3
# 8. Update player with S3 URL
# 4. Create CardPositions (use db_put, NOT db_post)
await db_put('cardpositions', payload={'positions': [
{'player_id': player_id, 'position': 'LF', 'range': 3, 'error': 7, 'arm': 2},
{'player_id': player_id, 'position': '2B', 'range': 4, 'error': 12}
]})
# 5. Generate card image, upload to S3, update player
await db_patch('players', object_id=player_id, params=[('image', s3_url)])
```
## Common Mistakes & Lessons Learned
---
### ❌ Making Up Rarity IDs or Cost Values
**NEVER** assume or calculate rarity_id or cost values. These are specified by the user based on game balance decisions, not algorithmic thresholds.
## Rating Constraints
### ❌ Using `mlbplayer_id = 0` When Skipping MLBPlayer
**ALWAYS** use `mlbplayer_id = None` (not 0) when skipping MLBPlayer creation. Using 0 may cause foreign key constraint issues.
- All D20 chances must be multiples of **0.05**
- Total chances must equal exactly **108.00** (D20 x 5.4)
- Apply **+/-0.5 randomization** to avoid mechanical-looking cards
- **bp_homerun** rules:
- hr_count < 0.5: BP-HR = 0, HR = 0
- hr_count <= 1.0: BP-HR = 1, HR = 0
- hr_count < 3: BP-HR = 1, HR = hr_count - 1
- hr_count < 6: BP-HR = 2, HR = hr_count - 2
- hr_count >= 6: BP-HR = 3, HR = hr_count - 3
- **NEVER allow negative regular HR values**
- When removing HRs to lower OPS, redistribute to **singles** (not doubles) for more effective SLG reduction
### ❌ Using `db_post` for CardPositions
**ALWAYS** use `db_put('cardpositions', ...)` not `db_post`. The endpoint doesn't support POST method.
### Ballpark (BP) Result Calculations
### ❌ Missing Required Fields in Player Payload
**ALL** of these fields are required: `p_name`, `cost`, `image`, `mlbclub`, `franchise`, `cardset_id`, `set_num`, `rarity_id`, `pos_1`, `description`, `bbref_id`, `fangr_id`
- BP-HR and BP-Single multiply by **0.5** for AVG/OBP
- BP results use **full value** for SLG (BP-HR = 2 bases, BP-Single = 1 base)
### ❌ Wrong Field Names
- MLBPlayer: Use `first_name`/`last_name` (NOT `name_first`/`name_last`)
- Player: Use `mlbclub`/`franchise` (NOT `mlb_team_id`/`franchise_id`)
- CardPosition: Use `range`/`error`/`arm` (NOT `fielding_rating`/`fielding_error`/`fielding_arm`)
## Troubleshooting
### "ModuleNotFoundError: No module named 'creation_helpers'"
- Ensure running from card-creation directory
- Ensure virtual environment is activated
### "Cardset not found"
- Create new cardset when prompted
- Verify cardset name spelling if expecting existing
### "Total chances != 108"
- Minor rounding errors (<0.1) are acceptable
- Report if difference > 0.5
### "Database connection error"
- Verify API_TOKEN in db_calls.py
- Check network connectivity
- Verify correct database URL (prod vs dev)
## Advanced Customization & Technical Details
### Rating Calculation Nuances
#### Ballpark (BP) Result Calculations
- **BP-HR and BP-Single multiply by 0.5 for AVG/OBP calculations**
- **BP results use FULL value for SLG calculations**
- BP-HR counts as 2 bases for slugging (not 0.5 × 2)
- BP-Single counts as 1 base for slugging (not 0.5 × 1)
**Example:**
```python
# AVG/OBP calculation
# AVG/OBP
total_hits = homerun + (bp_homerun * 0.5) + triple + ... + (bp_single * 0.5)
avg = total_hits / 108
# SLG calculation
# SLG
total_bases = (homerun * 4) + (bp_homerun * 2) + (triple * 3) + ... + bp_single
slg = total_bases / 108
```
#### Total OPS Formula
- **Batters**: `(OPS_vR + OPS_vL + min(OPS_vL, OPS_vR)) / 3`
- The weaker split is double-counted
- **Pitchers**: `(OPS_vR + OPS_vL + max(OPS_vL, OPS_vR)) / 3`
- The stronger split (worse for pitcher) is double-counted
### Total OPS Formula
#### Rating Constraints
- All ratings must sum to **exactly 108.0** (D20 × 5.4)
- Use **0.05 increments** for natural-looking ratings
- Apply **±0.5 randomization** to avoid mechanical-looking cards
- **CRITICAL: BP-HR MUST ALWAYS BE A WHOLE NUMBER (0, 1, 2, or 3)**
- If hr_count < 0.5: BP-HR = 0, regular HR = 0 (no power)
- If hr_count ≤ 1.0: BP-HR = 1, regular HR = 0 (only ballpark homers)
- If hr_count < 3: BP-HR = 1, regular HR = hr_count - 1
- If hr_count < 6: BP-HR = 2, regular HR = hr_count - 2
- If hr_count ≥ 6: BP-HR = 3, regular HR = hr_count - 3
- **NEVER allow negative regular HR values**
#### Power Distribution Strategy
When removing home runs to lower OPS:
- Redistribute to **singles** (not doubles) to reduce SLG more effectively
- Redistributing to doubles maintains higher slugging than desired
### Database Field Naming Reference
#### MLBPlayer Table
```python
{
'first_name': 'John', # NOT name_first
'last_name': 'Smith', # NOT name_last
'key_bbref': 'smithj01',
'key_fangraphs': 0,
'key_mlbam': 0,
'key_retro': ''
}
```
#### Player Table (Required Fields)
```python
{
'p_name': 'John Smith',
'bbref_id': 'custom_smithj01',
'hand': 'R',
'mlbclub': 'Custom Ballplayers', # For custom players
'franchise': 'Custom Ballplayers', # For custom players
'cardset_id': 29,
'description': '05 Custom',
'is_custom': True, # Flag for custom players
'image': 'change-me', # Initial placeholder (updated after S3 upload)
'set_num': 9999, # Required (use 9999 for customs)
'pos_1': 'C', # Required (primary position)
'cost': '91', # STRING, not int
'rarity_id': 3, # INT - see rarity table below
'mlbplayer_id': None, # Use None (not 0) when skipping MLBPlayer
'fangr_id': 0 # Required for custom players
}
```
**CRITICAL: ALL Required Fields Must Be Present**
Missing ANY of these fields will result in "field required" API errors.
**Rarity ID Reference Table (Batters):**
```
99 = Hall of Fame (1.200+ OPS)
1 = Diamond (1.000+ OPS)
2 = All-Star (0.900+ OPS)
3 = Starter (0.800+ OPS)
4 = Reserve (0.700+ OPS)
5 = Replacement (remainder)
```
**⚠️ CRITICAL: NEVER MAKE UP RARITY IDs OR COST VALUES**
- These are the ONLY valid rarity_id values for batters
- Cost is determined by user specification, not by OPS thresholds
- When in doubt, ASK the user for cost and rarity_id values
#### CardPosition Table
```python
{
'player_id': 13008,
'variant': 0,
'position': 'C',
'innings': 1,
'range': 3, # NOT fielding_rating
'error': 5, # NOT fielding_error
'arm': 0, # NOT fielding_arm or catcher_arm
'pb': 6, # NOT catcher_pb (catchers only)
'overthrow': 3 # NOT catcher_throw (catchers only)
}
```
**Position Validators:**
- C, LF, CF, RF **require** `arm` value (cannot be None)
- C **requires** `pb` and `overthrow` values (cannot be None)
#### Database Operation Methods
- `cardpositions`: Use **`db_put`** (NOT `db_post`)
- `battingcards`, `pitchingcards`: Use **`db_put`**
- `players`, `mlbplayers`: Use **`db_post`**
### Handling Existing Records
#### MLBPlayer Conflicts
MLBPlayer records may exist even if bbref_id query returns empty:
```python
# Try bbref_id first
mlb_query = await db_get('mlbplayers', params=[('key_bbref', bbref_id)])
# If that fails but creation errors with "already exists", try name-based
mlb_query = await db_get('mlbplayers', params=[
('first_name', name_first),
('last_name', name_last)
])
```
#### Player Record Best Practice
Always check for existing player before creating:
```python
p_query = await db_get('players', params=[
('bbref_id', bbref_id),
('cardset_id', cardset_id)
])
if p_query and p_query.get('count', 0) > 0:
# Use existing player
player_id = p_query['players'][0]['player_id']
else:
# Create new player
new_player = await db_post('players', payload=player_payload)
```
### AWS S3 Upload Process
#### S3 Path Structure
```
cards/cardset-{cardset_id:03d}/player-{player_id}/battingcard.png
```
- Use **zero-padded 3-digit cardset ID** (e.g., `029` not `29`)
- Include cache-busting query parameter: `?d={YYYY-M-D}`
#### Upload Steps
1. Fetch card image from API: `GET /players/{id}/battingcard?d={date}`
2. Upload to S3 with metadata:
```python
s3_client.put_object(
Bucket='paper-dynasty',
Key=f'cards/cardset-{cardset_id:03d}/player-{player_id}/battingcard.png',
Body=image_bytes,
ContentType='image/png',
CacheControl='public, max-age=300'
)
```
3. Update player record with S3 URL:
```python
s3_url = f'https://paper-dynasty.s3.us-east-1.amazonaws.com/{s3_key}?d={date}'
await db_patch('players', object_id=player_id, params=[('image', s3_url)])
```
### Custom Player Conventions
#### Identifiers
- `bbref_id`: `custom_{lastname}{firstinitial}01`
- `fangraphs_id`: 0
- `mlbam_id`: 0
- `strat_code`: 0
- `is_custom`: True
#### Organization
- `mlbclub`: "Custom Ballplayers"
- `franchise`: "Custom Ballplayers"
- `cardset_id`: 29 (standard custom cardset)
- `set_num`: 9999 (convention for custom players)
#### Example Reference Implementation
See: `/mnt/NV2/Development/paper-dynasty/card-creation/create_valerie_theolia.py`
This script demonstrates:
- Manual rating customization with randomization
- Proper field naming for all database tables
- Handling existing records gracefully
- S3 upload and URL updates
- Complete end-to-end custom player creation
## Related Workflows
- **Weekly Card Generation**: For real players from Retrosheet data
- **Gauntlet Cleanup**: Managing temporary tournament teams
- **Pack Distribution**: Reward systems and promotions
- **Batters**: `(OPS_vR + OPS_vL + min(OPS_vL, OPS_vR)) / 3` (weaker split double-counted)
- **Pitchers**: `(OPS_vR + OPS_vL + max(OPS_vL, OPS_vR)) / 3` (stronger split double-counted)
---
**Last Updated**: 2025-11-13
**Maintainer**: Cal Corum
**Version**: 1.1 (Added Advanced Customization section)
## Database Field Reference
### Player Table (ALL fields required)
`p_name`, `bbref_id`, `hand`, `mlbclub`, `franchise`, `cardset_id`, `description`, `is_custom`, `image`, `set_num`, `pos_1`, `cost` (STRING), `rarity_id` (INT), `mlbplayer_id` (None, not 0), `fangr_id` (0 for custom)
### Rarity IDs (Batters)
| ID | Rarity | OPS Threshold |
|----|--------|---------------|
| 99 | Hall of Fame | 1.200+ |
| 1 | Diamond | 1.000+ |
| 2 | All-Star | 0.900+ |
| 3 | Starter | 0.800+ |
| 4 | Reserve | 0.700+ |
| 5 | Replacement | remainder |
**NEVER make up rarity IDs or cost values** — always ask the user.
### CardPosition Fields
```python
{
'player_id': int,
'variant': 0,
'position': str, # C, 1B, 2B, 3B, SS, LF, CF, RF, DH, P
'innings': 1,
'range': int, # NOT fielding_rating
'error': int, # NOT fielding_error
'arm': int, # NOT fielding_arm — required for C, LF, CF, RF
'pb': int, # Catchers only (NOT catcher_pb)
'overthrow': int # Catchers only (NOT catcher_throw)
}
```
### MLBPlayer Field Names
Use `first_name`/`last_name` (NOT `name_first`/`name_last`)
### DB Operation Methods
| Endpoint | Method |
|----------|--------|
| `players`, `mlbplayers` | `db_post` |
| `battingcards`, `pitchingcards` | `db_put` |
| `battingcardratings`, `pitchingcardratings` | `db_put` |
| `cardpositions` | `db_put` (NOT db_post) |
---
## Common Mistakes
- **mlbplayer_id = 0**: Use `None`, not `0` — avoids FK constraint issues
- **db_post for cardpositions**: Must use `db_put` — endpoint doesn't support POST
- **Missing required fields**: ALL Player fields listed above are required
- **Wrong field names**: `range`/`error`/`arm` for positions, `first_name`/`last_name` for MLBPlayer
- **Making up rarity/cost**: NEVER assume — always ask the user
---
## Handling Existing Records
```python
# Check for existing MLBPlayer by bbref_id, then fall back to name
mlb_query = await db_get('mlbplayers', params=[('key_bbref', bbref_id)])
if not mlb_query or mlb_query.get('count', 0) == 0:
mlb_query = await db_get('mlbplayers', params=[
('first_name', name_first), ('last_name', name_last)
])
# Check for existing Player before creating
p_query = await db_get('players', params=[('bbref_id', bbref_id), ('cardset_id', cardset_id)])
if p_query and p_query.get('count', 0) > 0:
player_id = p_query['players'][0]['player_id'] # Use existing
```
---
## Custom Player Conventions
- **bbref_id**: `custom_{lastname}{firstinitial}01` (e.g., `custom_smithj01`)
- **Org**: `mlbclub` and `franchise` = "Custom Ballplayers"
- **Default cardset**: 29 | **set_num**: 9999
- **Flags**: `is_custom: True`, `fangraphs_id: 0`, `mlbam_id: 0`
- **Reference impl**: `/mnt/NV2/Development/paper-dynasty/card-creation/create_valerie_theolia.py`
## Verification
- **Dev**: `https://pddev.manticorum.com/api/v2/players/{player_id}/battingcard`
- **Prod**: `https://pd.manticorum.com/api/v2/players/{player_id}/battingcard`
- Add `?html=true` for HTML preview instead of PNG
---
**Last Updated**: 2026-02-12
**Version**: 3.0 (Merged custom-player-database-creation.md; trimmed redundant content)

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# Custom Player Database Creation Workflow
## Purpose
Step-by-step API calls to create a complete custom player record in Paper Dynasty database.
## Prerequisites
- Custom player ratings calculated (via archetype system or manual)
- Defensive ratings determined
- Cardset identified
## Workflow Steps
### Step 1: Create MLBPlayer Record
**Endpoint**: `POST /mlbplayers/one`
**Payload**:
```python
{
'key_bbref': 'custom_lastnamefirstinitial01', # e.g., 'custom_thrillw01'
'key_fangraphs': 0,
'key_mlbam': 0,
'key_retro': '',
'first_name': 'FirstName',
'last_name': 'LastName',
'mlb_team_id': 'mlbclub' # Usually 'mlbclub' for custom players
}
```
**Returns**: `{'id': mlbplayer_id}`
**Example**:
```python
mlbplayer_payload = {
'key_bbref': 'custom_thrillw01',
'key_fangraphs': 0,
'key_mlbam': 0,
'key_retro': '',
'first_name': 'Will',
'last_name': 'the Thrill',
'mlb_team_id': 'mlbclub'
}
mlb = await db_post('mlbplayers/one', payload=mlbplayer_payload)
mlbplayer_id = mlb['id'] # Save for Player record
```
---
### Step 2: Create Player Record
**Endpoint**: `POST /players`
**Required Fields**:
```python
{
'p_name': 'Display Name', # e.g., 'Will the Thrill'
'bbref_id': 'custom_xxx', # Same as MLBPlayer
'fangraphs_id': 0,
'mlbam_id': 0,
'retrosheet_id': '',
'hand': 'R' or 'L' or 'S', # Batting hand
'mlbclub': 'Team Name', # e.g., 'Custom Ballplayers'
'franchise': 'Franchise Name', # e.g., 'Custom Ballplayers'
'cardset_id': int, # Target cardset
'description': 'Description', # e.g., '05 Custom'
'is_custom': True,
'mlbplayer_id': mlbplayer_id, # From Step 1
'set_num': 0,
'rarity_id': int, # 1-6 (see rarity table below)
'cost': int, # Card cost
'image': '',
'pos_1': 'Position' # Primary position
}
```
**Rarity IDs**:
- 1 = Replacement
- 2 = Reserve
- 3 = Starter
- 4 = All-Star
- 5 = MVP
- 6 = Hall of Fame
**Returns**: `{'player_id': player_id}`
**Example**:
```python
player_payload = {
'p_name': 'Will the Thrill',
'bbref_id': 'custom_thrillw01',
'fangraphs_id': 0,
'mlbam_id': 0,
'retrosheet_id': '',
'hand': 'R',
'mlbclub': 'Custom Ballplayers',
'franchise': 'Custom Ballplayers',
'cardset_id': 29,
'description': '05 Custom',
'is_custom': True,
'mlbplayer_id': mlbplayer_id,
'set_num': 0,
'rarity_id': 3, # Starter
'cost': 93,
'image': '',
'pos_1': 'LF'
}
player = await db_post('players', payload=player_payload)
player_id = player['player_id'] # Save for subsequent records
```
---
### Step 2b (Optional): Update Player Positions/Rarity
**Endpoint**: `PATCH /players/{player_id}`
**Example**:
```python
await db_patch('players', object_id=player_id, params=[
('pos_2', '2B'),
('rarity_id', 3),
('cost', 93)
])
```
---
### Step 3: Create BattingCard Record
**Endpoint**: `PUT /battingcards`
**Payload Structure**:
```python
{
'cards': [
{
'player_id': player_id,
'key_bbref': 'custom_xxx',
'key_fangraphs': 0,
'key_mlbam': 0,
'key_retro': '',
'name_first': 'FirstName',
'name_last': 'LastName',
'steal_low': int, # 0-20 scale (2d10)
'steal_high': int, # 0-20 scale (2d10)
'steal_auto': int, # 0 or 1 (boolean)
'steal_jump': float, # 0.0-1.0 (fraction of 36)
'hit_and_run': str, # 'A', 'B', 'C', or 'D'
'running': int, # 8-17 scale
'hand': 'R' or 'L' or 'S' # Batting hand
}
]
}
```
**Returns**: BattingCard created
**Example**:
```python
batting_card = {
'player_id': player_id,
'key_bbref': 'custom_thrillw01',
'key_fangraphs': 0,
'key_mlbam': 0,
'key_retro': '',
'name_first': 'Will',
'name_last': 'the Thrill',
'steal_low': 7,
'steal_high': 11,
'steal_auto': 0,
'steal_jump': 0.055555,
'hit_and_run': 'A',
'running': 12,
'hand': 'R'
}
await db_put('battingcards', payload={'cards': [batting_card]}, timeout=10)
# Get the battingcard_id for ratings
bc_result = await db_get('battingcards', params=[('player_id', player_id)])
battingcard_id = bc_result['cards'][0]['id']
```
---
### Step 3b (Optional): Update BattingCard
**Endpoint**: `PATCH /battingcards/{battingcard_id}`
**Example**:
```python
await db_patch('battingcards', object_id=battingcard_id, params=[
('steal_jump', 0.055555)
])
```
---
### Step 4: Create BattingCardRatings (vs LHP and vs RHP)
**Endpoint**: `PUT /battingcardratings`
**Payload Structure**:
```python
{
'ratings': [
{
'battingcard_id': battingcard_id,
'bat_hand': 'R' or 'L' or 'S',
'vs_hand': 'L' or 'R',
# All values must be multiples of 0.05
# All values must sum to exactly 108.00
# Hits
'homerun': float,
'bp_homerun': float, # Must be whole number (1.0, 2.0, etc.)
'triple': float,
'double_three': float, # Usually 0.00 (reserved for special occasions)
'double_two': float,
'double_pull': float,
'single_two': float,
'single_one': float,
'single_center': float,
'bp_single': float, # Must be whole number (usually 5.0)
# On-base
'walk': float,
'hbp': float,
# Outs
'strikeout': float,
'lineout': float,
'popout': float, # Usually 0.00 (added during image generation)
'flyout_a': float, # Usually 0.00 (only 1.0 for power hitters)
'flyout_bq': float,
'flyout_lf_b': float,
'flyout_rf_b': float,
'groundout_a': float, # Double play balls
'groundout_b': float,
'groundout_c': float,
# Percentages
'hard_rate': float,
'med_rate': float,
'soft_rate': float,
'pull_rate': float,
'center_rate': float,
'slap_rate': float
},
# Second rating for opposite hand
{...}
]
}
```
**Stratomatic Conventions**:
- All D20 chances must be multiples of **0.05**
- Total chances must equal exactly **108.00**
- **bp_homerun**: Whole number (1.0 for low power, 2.0 moderate, 3.0+ high)
- **bp_single**: Whole number (standard is 5.0)
- **popout**: Default 0.00 (added during image generation)
- **flyout_a**: Default 0.00 (only 1.0 for power hitters with HR% > 10%)
- **double_three**: Default 0.00 (reserved for special occasions)
**Example**:
```python
rating_vl = {
'battingcard_id': battingcard_id,
'bat_hand': 'R',
'vs_hand': 'L',
'homerun': 0.55,
'bp_homerun': 1.00,
'triple': 0.80,
'double_three': 0.00,
'double_two': 5.60,
'double_pull': 2.95,
'single_two': 10.35,
'single_one': 4.95,
'single_center': 8.45,
'bp_single': 5.00,
'walk': 8.15,
'hbp': 0.90,
'strikeout': 13.05,
'lineout': 11.60,
'popout': 0.00,
'flyout_a': 0.00,
'flyout_bq': 5.30,
'flyout_lf_b': 4.55,
'flyout_rf_b': 3.70,
'groundout_a': 9.45,
'groundout_b': 6.55,
'groundout_c': 5.10,
'hard_rate': 0.33,
'med_rate': 0.50,
'soft_rate': 0.17,
'pull_rate': 0.38,
'center_rate': 0.36,
'slap_rate': 0.26
}
rating_vr = {
'battingcard_id': battingcard_id,
'bat_hand': 'R',
'vs_hand': 'R',
# ... (similar structure, different values)
}
await db_put('battingcardratings', payload={'ratings': [rating_vl, rating_vr]}, timeout=10)
```
---
### Step 5: Create CardPositions with Defensive Ratings
**Endpoint**: `PUT /cardpositions`
**Payload Structure**:
```python
{
'positions': [
{
'player_id': player_id,
'position': 'Position Code',
'range': int, # Required for all positions
'error': int, # Required for all positions
'arm': int # Required for OF and C only
},
# Additional positions
{...}
]
}
```
**Position Codes**: C, 1B, 2B, 3B, SS, LF, CF, RF, DH, P
**Defensive Ratings**:
- **Range**: 1-10+ scale (higher = better range)
- **Error**: Higher number = worse (more errors)
- **Arm**: +/- rating (OF and C only, e.g., +2, -1, 0)
**Example**:
```python
positions_payload = {
'positions': [
{
'player_id': player_id,
'position': 'LF',
'range': 3,
'error': 7,
'arm': 2
},
{
'player_id': player_id,
'position': '2B',
'range': 4,
'error': 12
# No arm rating for infielders
}
]
}
await db_put('cardpositions', payload=positions_payload)
```
---
## Complete Example Script
```python
import asyncio
from db_calls import db_post, db_put, db_patch, db_get
async def create_custom_player():
# Step 1: MLBPlayer
mlbplayer_payload = {
'key_bbref': 'custom_thrillw01',
'key_fangraphs': 0,
'key_mlbam': 0,
'key_retro': '',
'first_name': 'Will',
'last_name': 'the Thrill',
'mlb_team_id': 'mlbclub'
}
mlb = await db_post('mlbplayers/one', payload=mlbplayer_payload)
mlbplayer_id = mlb['id']
print(f"✓ MLBPlayer: {mlbplayer_id}")
# Step 2: Player
player_payload = {
'p_name': 'Will the Thrill',
'bbref_id': 'custom_thrillw01',
'fangraphs_id': 0,
'mlbam_id': 0,
'retrosheet_id': '',
'hand': 'R',
'mlbclub': 'Custom Ballplayers',
'franchise': 'Custom Ballplayers',
'cardset_id': 29,
'description': '05 Custom',
'is_custom': True,
'mlbplayer_id': mlbplayer_id,
'set_num': 0,
'rarity_id': 3,
'cost': 93,
'image': '',
'pos_1': 'LF'
}
player = await db_post('players', payload=player_payload)
player_id = player['player_id']
print(f"✓ Player: {player_id}")
# Step 2b: Update pos_2
await db_patch('players', object_id=player_id, params=[('pos_2', '2B')])
print(f"✓ Player updated")
# Step 3: BattingCard
batting_card = {
'player_id': player_id,
'key_bbref': 'custom_thrillw01',
'key_fangraphs': 0,
'key_mlbam': 0,
'key_retro': '',
'name_first': 'Will',
'name_last': 'the Thrill',
'steal_low': 7,
'steal_high': 11,
'steal_auto': 0,
'steal_jump': 0.055555,
'hit_and_run': 'A',
'running': 12,
'hand': 'R'
}
await db_put('battingcards', payload={'cards': [batting_card]}, timeout=10)
bc_result = await db_get('battingcards', params=[('player_id', player_id)])
battingcard_id = bc_result['cards'][0]['id']
print(f"✓ BattingCard: {battingcard_id}")
# Step 4: BattingCardRatings
rating_vl = {...} # Full rating dict
rating_vr = {...} # Full rating dict
await db_put('battingcardratings', payload={'ratings': [rating_vl, rating_vr]}, timeout=10)
print(f"✓ BattingCardRatings created")
# Step 5: CardPositions
positions_payload = {
'positions': [
{'player_id': player_id, 'position': 'LF', 'range': 3, 'error': 7, 'arm': 2},
{'player_id': player_id, 'position': '2B', 'range': 4, 'error': 12}
]
}
await db_put('cardpositions', payload=positions_payload)
print(f"✓ CardPositions created")
return player_id
# Run it
player_id = asyncio.run(create_custom_player())
print(f"\n✓✓ Complete! Player ID: {player_id}")
```
---
## Verification
After creation, verify the card at:
- **Dev**: `https://pddev.manticorum.com/api/v2/players/{player_id}/battingcard`
- **Prod**: `https://pd.manticorum.com/api/v2/players/{player_id}/battingcard`
Add `?html=true` to view HTML preview instead of PNG.
---
## Troubleshooting
**"field required" errors**: Check all required fields are present in payload
**"LF must have an arm rating"**: OF and C positions require 'arm' field
**Total != 108**: Verify all D20 ratings sum to exactly 108.00
**Not multiple of 0.05**: All D20 ratings must be multiples of 0.05
**Player not found**: Check correct database (dev vs prod) via `alt_database` in db_calls.py
---
**Last Updated**: 2025-11-11
**Maintainer**: Cal Corum
**Version**: 1.0 (Initial Release - Will the Thrill)

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# Database Sync - Production to Dev
Sync production Paper Dynasty database to development environment for testing, debugging, or local development with real data.
## Quick Start
```bash
# Basic sync (with backup and confirmation prompt)
~/.claude/skills/paper-dynasty/scripts/sync_prod_to_dev.sh
# Auto-confirm sync (skip prompt)
~/.claude/skills/paper-dynasty/scripts/sync_prod_to_dev.sh --yes
# Dry run (see what would happen)
~/.claude/skills/paper-dynasty/scripts/sync_prod_to_dev.sh --dry-run
# Skip backup (faster, use with caution)
~/.claude/skills/paper-dynasty/scripts/sync_prod_to_dev.sh --no-backup --yes
```
## What It Does
1. **Verifies connectivity** to both production and dev databases
2. **Shows database statistics** (size, table count) for comparison
3. **Creates backup** of current dev database (unless `--no-backup`)
4. **Dumps production database** using `pg_dump`
5. **Restores to dev database** replacing all existing data
6. **Verifies restoration** with updated statistics
7. **Cleans up** temporary dump files
## Database Environments
### Production (akamai)
- **Container**: `sba_postgres`
- **Database**: `pd_master`
- **User**: `pd_admin`
- **Access**: Via SSH to akamai host
### Development (pd-database / 10.10.0.42)
- **Container**: `sba_postgres`
- **Database**: `paperdynasty_dev`
- **User**: `sba_admin`
- **Access**: Via SSH to pd-database host
## When to Use
| Scenario | Recommended Approach |
|----------|---------------------|
| **Testing migrations** | Sync with `--no-backup` for speed |
| **Debugging production issues** | Full sync to reproduce exact state |
| **Local development setup** | First-time sync with backup |
| **QA testing** | Regular syncs before testing cycles |
| **Schema comparison** | Use `--dry-run` to see database stats |
## Backups
Backups of the dev database are stored in:
```
~/.paper-dynasty/db-backups/paperdynasty_dev_YYYYMMDD_HHMMSS.sql
```
### Restoring from Backup
If you need to restore a dev database backup:
```bash
# List available backups
ls -lh ~/.paper-dynasty/db-backups/
# Restore a specific backup
BACKUP_FILE=~/.paper-dynasty/db-backups/paperdynasty_dev_20260203_143022.sql
ssh pd-database "docker exec -i sba_postgres psql -U sba_admin -d paperdynasty_dev" < "$BACKUP_FILE"
```
## Manual Steps (Alternative to Script)
If you prefer to run steps manually:
### 1. Create Production Dump
```bash
ssh akamai "docker exec sba_postgres pg_dump -U pd_admin -d pd_master --clean --if-exists" > /tmp/pd_prod_dump.sql
```
### 2. Backup Current Dev (Optional)
```bash
ssh pd-database "docker exec sba_postgres pg_dump -U sba_admin -d paperdynasty_dev --clean --if-exists" > ~/.paper-dynasty/db-backups/paperdynasty_dev_backup.sql
```
### 3. Restore to Dev
```bash
ssh pd-database "docker exec -i sba_postgres psql -U sba_admin -d paperdynasty_dev" < /tmp/pd_prod_dump.sql
```
### 4. Clean Up
```bash
rm /tmp/pd_prod_dump.sql
```
## Troubleshooting
### Connection Issues
**Problem**: Cannot connect to production/dev database
```bash
# Test production connection
ssh akamai "docker exec sba_postgres psql -U pd_admin -d pd_master -c 'SELECT version();'"
# Test dev connection
ssh pd-database "docker exec sba_postgres psql -U sba_admin -d paperdynasty_dev -c 'SELECT version();'"
```
### Permission Errors
**Problem**: Permission denied errors during restore
**Solution**: Ensure the dev user has proper permissions:
```bash
ssh pd-database "docker exec sba_postgres psql -U sba_admin -d paperdynasty_dev -c 'GRANT ALL PRIVILEGES ON ALL TABLES IN SCHEMA public TO sba_admin;'"
```
### Disk Space Issues
**Problem**: Not enough disk space for dump file
```bash
# Check available space on local machine
df -h /tmp
# Check available space on dev server
ssh pd-database "df -h /var/lib/docker"
```
**Solution**: Use compression:
```bash
# Create compressed dump
ssh akamai "docker exec sba_postgres pg_dump -U pd_admin -d pd_master --clean --if-exists | gzip" > /tmp/pd_prod_dump.sql.gz
# Restore compressed dump
gunzip -c /tmp/pd_prod_dump.sql.gz | ssh pd-database "docker exec -i sba_postgres psql -U sba_admin -d paperdynasty_dev"
```
### Restore Failures
**Problem**: Errors during restore (foreign key constraints, etc.)
**Solution**: The script uses `--clean --if-exists` which should handle most cases. If issues persist:
1. Check the error messages for specific constraint violations
2. Try restoring with single-transaction mode:
```bash
ssh pd-database "docker exec -i sba_postgres psql -U sba_admin -d paperdynasty_dev --single-transaction" < /tmp/pd_prod_dump.sql
```
## Safety Features
- **Confirmation prompt**: Requires explicit "yes" before making changes
- **Dry run mode**: Preview operations without making changes
- **Automatic backups**: Dev database is backed up by default
- **Backup retention**: Backups are timestamped and never auto-deleted
- **Error handling**: Script exits on any error, preventing partial syncs
## Performance Notes
- **Dump time**: ~10-30 seconds for typical database
- **Transfer time**: Depends on database size (usually < 1 minute)
- **Restore time**: ~20-60 seconds depending on data volume
- **Total time**: Typically 1-2 minutes for full sync
Add `--no-backup` to save ~30 seconds if dev database backup isn't needed.
## Security Notes
- Database credentials are hardcoded in the script (stored in skill directory)
- Dump files contain sensitive production data
- Temporary dumps are created in `/tmp` and automatically deleted
- Backups are stored in user home directory (`~/.paper-dynasty/db-backups/`)
- Consider encrypting backups for long-term storage
## Integration with Other Workflows
This sync workflow pairs well with:
- **Migration Testing**: Sync prod data, then test migrations on dev
- **API Development**: Work with realistic data locally
- **Bug Reproduction**: Sync prod state to reproduce issues
- **Performance Testing**: Test queries against production-sized datasets
---
**Last Updated**: 2026-02-03

423
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# Paper Dynasty Discord App Troubleshooting
**Server troubleshooting guide for the pd-discord bot**
## Server Information
| Property | Value |
|----------|-------|
| **SSH Host** | `sba-bots` (alias: `pd-bots`) |
| **IP** | 10.10.0.88 |
| **User** | cal |
| **Compose Dir** | `/home/cal/container-data/paper-dynasty/` |
| **Container** | `paper-dynasty_discord-app_1` |
| **Service** | `discord-app` |
| **Image** | `manticorum67/paper-dynasty-discordapp:latest` |
### Related Services
| Service | Container | Purpose |
|---------|-----------|---------|
| PostgreSQL | `paper-dynasty_db_1` | Bot database |
| Adminer | `paper-dynasty_adminer_1` | DB web UI (port 8080) |
---
## Quick Status Check
```bash
# Check container status
ssh sba-bots "docker ps --filter name=paper-dynasty"
# One-liner health check
ssh sba-bots "docker ps --format '{{.Names}}: {{.Status}}' --filter name=paper-dynasty"
```
---
## Viewing Logs
### Recent Logs (Recommended First Step)
```bash
# Last 100 lines
ssh sba-bots "docker logs paper-dynasty_discord-app_1 --tail 100"
# Last 100 lines with timestamps
ssh sba-bots "docker logs paper-dynasty_discord-app_1 --tail 100 -t"
# Follow logs in real-time (Ctrl+C to stop)
ssh sba-bots "docker logs paper-dynasty_discord-app_1 --tail 50 -f"
```
### Logs Since Specific Time
```bash
# Last hour
ssh sba-bots "docker logs paper-dynasty_discord-app_1 --since 1h"
# Last 30 minutes
ssh sba-bots "docker logs paper-dynasty_discord-app_1 --since 30m"
# Since specific time
ssh sba-bots "docker logs paper-dynasty_discord-app_1 --since '2025-01-30T10:00:00'"
```
### Search Logs for Errors
```bash
# Find errors
ssh sba-bots "docker logs paper-dynasty_discord-app_1 2>&1 | grep -i error | tail -50"
# Find exceptions/tracebacks
ssh sba-bots "docker logs paper-dynasty_discord-app_1 2>&1 | grep -i -A5 'traceback\|exception' | tail -100"
# Find specific command errors
ssh sba-bots "docker logs paper-dynasty_discord-app_1 2>&1 | grep -i 'command_name_here' | tail -50"
```
### Log Files on Host
```bash
# List log files
ssh sba-bots "ls -la /home/cal/container-data/paper-dynasty/logs/"
# Read specific log file
ssh sba-bots "tail -100 /home/cal/container-data/paper-dynasty/logs/paperdynasty.log"
```
---
## Container Management
### Restart Bot (Most Common Fix)
```bash
# Restart just the discord-app service
ssh sba-bots "cd /home/cal/container-data/paper-dynasty && docker compose restart discord-app"
# Alternative: stop and start
ssh sba-bots "cd /home/cal/container-data/paper-dynasty && docker compose stop discord-app && docker compose up -d discord-app"
```
### Full Stack Restart
```bash
# Restart all services (bot + database + adminer)
ssh sba-bots "cd /home/cal/container-data/paper-dynasty && docker compose restart"
# Or recreate containers
ssh sba-bots "cd /home/cal/container-data/paper-dynasty && docker compose down && docker compose up -d"
```
### Pull Latest Image and Restart
```bash
ssh sba-bots "cd /home/cal/container-data/paper-dynasty && docker compose pull discord-app && docker compose up -d discord-app"
```
### Stop/Start Individual Services
```bash
# Stop bot only
ssh sba-bots "cd /home/cal/container-data/paper-dynasty && docker compose stop discord-app"
# Start bot only
ssh sba-bots "cd /home/cal/container-data/paper-dynasty && docker compose start discord-app"
```
---
## Database Operations
### Check Database Health
```bash
# Database container status
ssh sba-bots "docker ps --filter name=paper-dynasty_db"
# Test database connection
ssh sba-bots "docker exec paper-dynasty_db_1 pg_isready -U postgres"
```
### Access Database CLI
```bash
# Interactive psql session
ssh sba-bots "docker exec -it paper-dynasty_db_1 psql -U postgres"
# Run single query
ssh sba-bots "docker exec paper-dynasty_db_1 psql -U postgres -c 'SELECT COUNT(*) FROM card;'"
```
### Database Web UI (Adminer)
- URL: `http://10.10.0.88:8080`
- System: PostgreSQL
- Server: `db`
- Username: `postgres`
- Password: `example`
- Database: `postgres`
### Database Backup
```bash
# Create backup
ssh sba-bots "docker exec paper-dynasty_db_1 pg_dump -U postgres postgres > ~/backups/pd_backup_$(date +%Y%m%d).sql"
# Restore from backup
ssh sba-bots "docker exec -i paper-dynasty_db_1 psql -U postgres postgres < ~/backups/pd_backup_YYYYMMDD.sql"
```
---
## Common Issues and Solutions
### Issue: Bot Not Responding to Commands
**Symptoms:**
- Commands timeout or don't execute
- No response from bot in Discord
**Diagnosis:**
```bash
# Check if container is running
ssh sba-bots "docker ps --filter name=paper-dynasty_discord-app"
# Check health status
ssh sba-bots "docker inspect paper-dynasty_discord-app_1 --format='{{.State.Health.Status}}'"
# Check recent logs for errors
ssh sba-bots "docker logs paper-dynasty_discord-app_1 --tail 50"
```
**Solutions:**
1. Restart the bot: `ssh sba-bots "cd /home/cal/container-data/paper-dynasty && docker compose restart discord-app"`
2. Check for rate limiting in logs
3. Verify Discord token is valid
---
### Issue: Container Keeps Restarting
**Symptoms:**
- Status shows "Restarting" or uptime keeps resetting
- `restart_count` increasing
**Diagnosis:**
```bash
# Check restart count
ssh sba-bots "docker inspect paper-dynasty_discord-app_1 --format='{{.RestartCount}}'"
# Check exit code
ssh sba-bots "docker inspect paper-dynasty_discord-app_1 --format='{{.State.ExitCode}}'"
# Check logs from before crash
ssh sba-bots "docker logs paper-dynasty_discord-app_1 --tail 200"
```
**Solutions:**
1. Look for Python exceptions in logs
2. Check if database is accessible
3. Verify environment variables are correct
---
### Issue: Database Connection Errors
**Symptoms:**
- Logs show "connection refused" or "could not connect to server"
- Commands fail with database errors
**Diagnosis:**
```bash
# Check if database is running
ssh sba-bots "docker ps --filter name=paper-dynasty_db"
# Check database logs
ssh sba-bots "docker logs paper-dynasty_db_1 --tail 50"
# Test connectivity from bot container
ssh sba-bots "docker exec paper-dynasty_discord-app_1 python -c 'import socket; s=socket.socket(); s.connect((\"db\", 5432)); print(\"OK\")'"
```
**Solutions:**
1. Restart database: `ssh sba-bots "cd /home/cal/container-data/paper-dynasty && docker compose restart db"`
2. Wait for database health check to pass
3. Restart bot after database is healthy
---
### Issue: Out of Memory / High Resource Usage
**Diagnosis:**
```bash
# Check container resource usage
ssh sba-bots "docker stats paper-dynasty_discord-app_1 --no-stream"
# Check host memory
ssh sba-bots "free -h"
# Check disk space
ssh sba-bots "df -h"
```
**Solutions:**
1. Restart bot to clear memory
2. Check for memory leaks in recent code changes
3. Add memory limits to docker-compose.yml if needed
---
### Issue: API Rate Limiting
**Symptoms:**
- Discord API errors (429)
- Commands work intermittently
**Diagnosis:**
```bash
# Check for rate limit messages
ssh sba-bots "docker logs paper-dynasty_discord-app_1 2>&1 | grep -i 'rate' | tail -20"
```
**Solutions:**
1. Wait for rate limit to expire (usually 1-60 seconds)
2. Check for command spam or loops in code
3. Review recent changes for excessive API calls
---
### Issue: Slash Commands Not Syncing
**Symptoms:**
- New commands don't appear in Discord
- Old commands still showing
**Diagnosis:**
```bash
# Check for sync messages in logs
ssh sba-bots "docker logs paper-dynasty_discord-app_1 2>&1 | grep -i 'sync' | tail -20"
```
**Solutions:**
1. Commands sync on bot startup - restart bot
2. Check for errors during command tree sync
3. Verify GUILD_ID is correct in environment
---
## Health Checks
### Quick Health Summary
```bash
ssh sba-bots "echo '=== Container Status ===' && \
docker ps --format 'table {{.Names}}\t{{.Status}}' --filter name=paper-dynasty && \
echo '' && echo '=== Resource Usage ===' && \
docker stats --no-stream --format 'table {{.Name}}\t{{.CPUPerc}}\t{{.MemUsage}}' paper-dynasty_discord-app_1 paper-dynasty_db_1"
```
### Container Inspection
```bash
# Full container details
ssh sba-bots "docker inspect paper-dynasty_discord-app_1"
# Just health status
ssh sba-bots "docker inspect paper-dynasty_discord-app_1 --format='Health: {{.State.Health.Status}}, Running: {{.State.Running}}, Restarts: {{.RestartCount}}'"
```
### Network Connectivity
```bash
# Check network
ssh sba-bots "docker network inspect paper-dynasty_backend"
# Test internal DNS
ssh sba-bots "docker exec paper-dynasty_discord-app_1 getent hosts db"
```
---
## Configuration
### Environment Variables
Key environment variables in docker-compose.yml:
| Variable | Description |
|----------|-------------|
| `BOT_TOKEN` | Discord bot token |
| `GUILD_ID` | Discord server ID |
| `API_TOKEN` | Paper Dynasty API token |
| `DATABASE` | "Prod" or "Dev" |
| `LOG_LEVEL` | INFO, DEBUG, WARNING, ERROR |
| `DB_URL` | Database hostname (usually `db`) |
| `SCOREBOARD_CHANNEL` | Channel ID for scoreboard updates |
### Edit Configuration
```bash
# Edit docker-compose.yml
ssh sba-bots "nano /home/cal/container-data/paper-dynasty/docker-compose.yml"
# After editing, recreate container
ssh sba-bots "cd /home/cal/container-data/paper-dynasty && docker compose up -d discord-app"
```
---
## Storage and Volumes
### Check Storage Usage
```bash
# Volume sizes
ssh sba-bots "docker system df -v | grep paper-dynasty"
# Storage directory
ssh sba-bots "du -sh /home/cal/container-data/paper-dynasty/storage/*"
```
### Access Storage Files
```bash
# List storage contents
ssh sba-bots "ls -la /home/cal/container-data/paper-dynasty/storage/"
# Copy file from server
scp sba-bots:/home/cal/container-data/paper-dynasty/storage/file.db ./
```
---
## Deployment Notes
**Image Source:** Docker Hub `manticorum67/paper-dynasty-discordapp`
**To deploy new version:**
```bash
# From local development machine
~/.claude/skills/deploy/deploy.sh pd-discord patch
```
**Manual deployment:**
```bash
ssh sba-bots "cd /home/cal/container-data/paper-dynasty && \
docker compose pull discord-app && \
docker compose up -d discord-app"
```
---
## Quick Reference Commands
```bash
# Status
ssh sba-bots "docker ps --filter name=paper-dynasty"
# Logs (last 100 lines)
ssh sba-bots "docker logs paper-dynasty_discord-app_1 --tail 100"
# Follow logs
ssh sba-bots "docker logs paper-dynasty_discord-app_1 -f --tail 50"
# Restart bot
ssh sba-bots "cd /home/cal/container-data/paper-dynasty && docker compose restart discord-app"
# Pull and restart
ssh sba-bots "cd /home/cal/container-data/paper-dynasty && docker compose pull discord-app && docker compose up -d"
# Shell into container
ssh sba-bots "docker exec -it paper-dynasty_discord-app_1 /bin/bash"
# Database CLI
ssh sba-bots "docker exec -it paper-dynasty_db_1 psql -U postgres"
```
---
**Last Updated**: 2025-01-30
**Maintainer**: Cal Corum

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# Gauntlet Team Cleanup Workflow
**Purpose**: Clean up temporary gauntlet teams after tournament events
**When to Use**:
- End of gauntlet tournament
- Team reaches loss limit
- Event conclusion
- Manual cleanup requested
---
## Overview
Gauntlet teams are temporary teams created for tournament events. At the end of a run, teams need to be cleaned up to:
1. Free up cards for other uses
2. Mark runs as complete
3. Maintain database hygiene
4. Preserve historical data
**What Gets Cleaned**:
- ✅ Cards (unassigned from team)
- ✅ Packs (deleted)
- ✅ Active run (ended)
**What Gets Preserved**:
- ✅ Team record (for history)
- ✅ Game results
- ✅ Player statistics
- ✅ Gauntlet run record (marked ended, not deleted)
---
## Prerequisites
```bash
# Set environment variables
export API_TOKEN='your-api-token'
export DATABASE='prod' # or 'dev'
# Navigate to scripts directory
cd ~/.claude/skills/paper-dynasty/scripts
```
---
## Workflow Steps
### Step 1: Identify Teams to Clean
**List active runs in an event**:
```bash
python gauntlet_cleanup.py list --event-id 8 --active-only
```
**Expected Output**:
```
🏆 GAUNTLET RUNS
================================================================================
[ACTIVE] Team: Gauntlet-SKB - Saskatchewan Beavers
Run ID: 464
Team ID: 69
Event: 8
Record: 0-0
Created: 2025-10-08 14:36:42.173000
[ACTIVE] Team: Gauntlet-YEET - YEETERS
Run ID: 421
Team ID: 68
Event: 8
Record: 2-1
Created: 2025-06-04 22:13:51.559000
```
**Review and note**:
- Team abbreviations to clean
- Run IDs
- Records (verify they're complete)
### Step 2: Wipe Gauntlet Team
**Command**:
```bash
python gauntlet_cleanup.py wipe --team-abbrev Gauntlet-SKB --event-id 8
```
**Interactive Confirmation**:
```
✓ Found team: Saskatchewan Beavers (ID: 69, Abbrev: Gauntlet-SKB)
⚠️ CLEANUP OPERATIONS:
- Wipe all cards for team Gauntlet-SKB
- Delete all packs for team Gauntlet-SKB
- End active gauntlet run in event 8
Type 'yes' to continue:
```
Type `yes` and press Enter to proceed.
**Process Output**:
```
📦 Wiping cards...
✓ Cards wiped: Wiped X cards
🎁 Deleting packs...
Found 3 packs
✓ Deleted 3 packs
🏃 Ending gauntlet run in event 8...
✓ Ended run ID 464 (Record: 0-0)
============================================================
📊 CLEANUP SUMMARY:
Cards wiped: ✓
Packs deleted: 3
Runs ended: 1
============================================================
```
### Step 3: Verify Cleanup
**Re-list active runs**:
```bash
python gauntlet_cleanup.py list --event-id 8 --active-only
```
**Expected**: Team should no longer appear in active runs list
**Additional Verification** (optional):
```python
from api_client import PaperDynastyAPI
api = PaperDynastyAPI(environment='prod')
# Check team has no cards
cards = api.list_cards(team_id=69)
print(f"Cards remaining: {len(cards)}") # Should be 0
# Check team has no packs
packs = api.list_packs(team_id=69)
print(f"Packs remaining: {len(packs)}") # Should be 0
# Check run is ended
runs = api.list_gauntlet_runs(team_id=69, active_only=True)
print(f"Active runs: {len(runs)}") # Should be 0
```
---
## Alternative Methods
### Wipe by Team ID
If you know the team ID:
```bash
python gauntlet_cleanup.py wipe --team-id 464 --event-id 8
```
### Skip Confirmation (Automation)
For scripts/automation:
```bash
python gauntlet_cleanup.py wipe --team-abbrev Gauntlet-SKB --event-id 8 --yes
```
### Wipe Without Ending Run
To only wipe cards/packs without ending the run:
```bash
python gauntlet_cleanup.py wipe --team-abbrev Gauntlet-SKB
# Omit --event-id to skip run ending
```
---
## Python API Usage
### Using the API Client Directly
```python
from api_client import PaperDynastyAPI
api = PaperDynastyAPI(environment='prod')
# Find team
team = api.get_team(abbrev='Gauntlet-SKB')
team_id = team['id']
# 1. Wipe cards
result = api.wipe_team_cards(team_id)
print(f"Cards wiped: {result}")
# 2. Delete packs
packs = api.list_packs(team_id=team_id)
for pack in packs:
api.delete_pack(pack['id'])
print(f"Deleted {len(packs)} packs")
# 3. End active run(s)
runs = api.list_gauntlet_runs(team_id=team_id, event_id=8, active_only=True)
for run in runs:
api.end_gauntlet_run(run['id'])
print(f"Ended run {run['id']}: {run['wins']}-{run['losses']}")
```
### Batch Cleanup
Clean up multiple teams:
```python
from api_client import PaperDynastyAPI
api = PaperDynastyAPI(environment='prod')
# Get all active runs in event
runs = api.list_gauntlet_runs(event_id=8, active_only=True)
for run in runs:
team = run['team']
team_id = team['id']
print(f"\nCleaning up {team['abbrev']}...")
# Wipe cards
api.wipe_team_cards(team_id)
# Delete packs
packs = api.list_packs(team_id=team_id)
for pack in packs:
api.delete_pack(pack['id'])
# End run
api.end_gauntlet_run(run['id'])
print(f"✓ Cleaned {team['abbrev']}")
```
---
## Troubleshooting
### "Team not found"
**Cause**: Team abbreviation misspelled or team doesn't exist
**Fix**:
```bash
# List all gauntlet teams
python gauntlet_cleanup.py list
# Try different abbreviation or use team ID
python gauntlet_cleanup.py wipe --team-id 464 --event-id 8
```
### "No active run found"
**Cause**: Team doesn't have an active run in that event
**Fix**:
```bash
# Check if run exists at all
python gauntlet_cleanup.py list --event-id 8
# If you just want to wipe cards/packs, omit --event-id
python gauntlet_cleanup.py wipe --team-abbrev Gauntlet-SKB
```
### API Authentication Errors (401)
**Cause**: Invalid or missing API token
**Fix**:
```bash
# Verify token is set
echo $API_TOKEN
# Set token
export API_TOKEN='your-valid-token'
# Test connection
python ../api_client.py --env prod --verbose
```
### Connection Errors
**Cause**: Network issues or incorrect environment
**Fix**:
```bash
# Check environment
echo $DATABASE
# Try different environment
python gauntlet_cleanup.py list --env dev --event-id 8
```
---
## Safety Notes
### Safe to Clean
✅ Gauntlet teams (temporary)
✅ Completed runs
✅ Teams with no ongoing games
### Never Clean
❌ Regular season teams
❌ Teams with active gameplay
❌ Before tournament ends (unless eliminated)
### What Happens to Data
| Data Type | Action | Reversible? |
|-----------|--------|-------------|
| Cards | Unassigned (`team = NULL`) | ✅ Yes (reassign) |
| Packs | Deleted | ❌ No |
| Run Record | Ended (timestamp set) | ✅ Kept in database |
| Team Record | Preserved | ✅ Kept in database |
| Game Results | Preserved | ✅ Kept in database |
| Statistics | Preserved | ✅ Kept in database |
---
## Related Workflows
- **Card Generation**: Weekly card updates
- **Team Management**: Create/modify regular teams (not gauntlet)
---
**Last Updated**: 2025-11-09
**Script Location**: `~/.claude/skills/paper-dynasty/scripts/gauntlet_cleanup.py`
**API Client**: `~/.claude/skills/paper-dynasty/api_client.py`

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View File

@ -0,0 +1,27 @@
{
"underlying_goal": "Simplify and speed up the local development workflow for a monorepo webapp project, eliminating slow Docker rebuild cycles and enabling cross-device network testing",
"goal_categories": {
"workflow_improvement": 1,
"feature_implementation": 2,
"devops_scripting": 1,
"git_operations": 2,
"server_management": 1,
"quick_question": 3
},
"outcome": "fully_achieved",
"user_satisfaction_counts": {
"satisfied": 3,
"likely_satisfied": 4,
"dissatisfied": 2
},
"claude_helpfulness": "essential",
"session_type": "iterative_refinement",
"friction_counts": {
"wrong_approach": 2,
"excessive_changes": 1
},
"friction_detail": "Claude initially proposed creating a separate dev-network.sh script and also suggested manually editing .env files, both of which the user rejected in favor of a simple --network flag on the existing script.",
"primary_success": "multi_file_changes",
"brief_summary": "User wanted to replace slow Docker-based dev builds with a fast native dev workflow and network testing capability; Claude delivered a working solution with native dev script, cookie security fixes, Python version pinning, and a --network flag, all committed and PR'd.",
"session_id": "00fe3ac1-993e-4cda-98c0-6239316953fd"
}

23
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{
"underlying_goal": "Restructure the baserunner panel UI from vertical cards to a horizontal pill layout with expandable detail cards, iteratively refining order, selection behavior, and color scheme",
"goal_categories": {
"ui_layout_restructure": 1,
"infrastructure_check": 1,
"ui_interaction_tweak": 1,
"ui_display_logic_change": 1,
"ui_color_scheme_change": 1
},
"outcome": "fully_achieved",
"user_satisfaction_counts": {
"likely_satisfied": 5
},
"claude_helpfulness": "essential",
"session_type": "iterative_refinement",
"friction_counts": {
"buggy_code": 2
},
"friction_detail": "Test failures occurred after layout changes due to updated CSS selectors, base ordering, and auto-selection behavior requiring multiple test fix rounds.",
"primary_success": "multi_file_changes",
"brief_summary": "User iteratively refined a baserunner panel layout from vertical cards to horizontal pills with expandable detail, swapped base order, made catcher clickable, and changed color scheme—all successfully implemented across components and tests.",
"session_id": "07f7816b-0c7c-46e8-a30c-9dae2e873eb6"
}

16
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{
"underlying_goal": "Resolve a 404 error with outbound-events Pub/Sub topic and redesign the outbound event handler to use HTTP POST instead of Pub/Sub to communicate with the object-router",
"goal_categories": {
"architecture_redesign": 1,
"debugging": 1
},
"outcome": "mostly_achieved",
"user_satisfaction_counts": {},
"claude_helpfulness": "very_helpful",
"session_type": "iterative_refinement",
"friction_counts": {},
"friction_detail": "",
"primary_success": "good_debugging",
"brief_summary": "User reported a 404 Pub/Sub error; Claude diagnosed the root cause, then the user requested an architecture change from Pub/Sub to HTTP POST, and Claude created a detailed plan and initiated implementation.",
"session_id": "0b2cb7ed-6b71-478a-b455-7bc053b2e249"
}

18
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{
"underlying_goal": "Run system updates on a Nobara Linux machine where the GUI updater keeps hanging",
"goal_categories": {
"system_administration": 1,
"save_memory": 1
},
"outcome": "fully_achieved",
"user_satisfaction_counts": {
"likely_satisfied": 2
},
"claude_helpfulness": "essential",
"session_type": "single_task",
"friction_counts": {},
"friction_detail": "",
"primary_success": "good_debugging",
"brief_summary": "User needed help running system updates on Nobara Linux after the GUI updater kept hanging; Claude diagnosed and resolved three root causes (Python version conflicts, x264-libs exclusion, full EFI partition) and successfully completed all 3,217 package updates.",
"session_id": "0b5b920d-adc6-4138-be52-c21d381907da"
}

24
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{
"underlying_goal": "Fix and debug the Uncapped Hit Decision UI feature for a baseball simulation webapp, resolving multiple backend deadlocks, serialization bugs, state management issues, and frontend display problems through iterative testing",
"goal_categories": {
"bug_fix": 7,
"code_investigation": 1,
"git_operations": 4,
"dev_environment_management": 2
},
"outcome": "fully_achieved",
"user_satisfaction_counts": {
"happy": 1,
"satisfied": 2,
"likely_satisfied": 6
},
"claude_helpfulness": "essential",
"session_type": "iterative_refinement",
"friction_counts": {
"buggy_code": 6
},
"friction_detail": "Multiple rounds of bugs surfaced during testing: deadlocks, premature state clearing, missing function arguments, D20Roll serialization failures, stale UI state, and missing batter advancement logic — each requiring a fix-test-retry cycle.",
"primary_success": "good_debugging",
"brief_summary": "User iteratively tested the uncapped hit decision UI feature, and Claude systematically debugged 8+ backend/frontend bugs (deadlocks, serialization, state management, UI freezes) until the feature worked correctly, then committed and pushed.",
"session_id": "1503094b-1ba1-49f9-b2ac-54568a39a2dc"
}

23
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{
"underlying_goal": "Refine the hold runner button UI on baserunner pills, remove redundant Hold Runners section, and push changes to remotes",
"goal_categories": {
"ui_refinement": 5,
"code_removal": 1,
"git_operations": 3,
"status_check": 1
},
"outcome": "fully_achieved",
"user_satisfaction_counts": {
"likely_satisfied": 8
},
"claude_helpfulness": "very_helpful",
"session_type": "iterative_refinement",
"friction_counts": {
"misunderstood_request": 1,
"buggy_code": 1
},
"friction_detail": "Claude initially didn't know what work was being referenced and explored the wrong context; also tests failed on commit requiring a fix and --no-verify bypass.",
"primary_success": "correct_code_edits",
"brief_summary": "User iteratively refined the hold runner button on baserunner pills (sizing, text display, fixed width) and removed a redundant section, then pushed to both remotes — all completed successfully.",
"session_id": "17408dc4-a446-427e-b810-b73fab2109c4"
}

25
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{
"underlying_goal": "Investigate and fix a bug reported in Gitea where a Groundball A double play was not being correctly resolved after rejoining a game",
"goal_categories": {
"bug_investigation": 1,
"bug_fix": 1,
"code_commit_and_push": 1,
"file_cleanup": 1,
"pull_request_creation": 1
},
"outcome": "fully_achieved",
"user_satisfaction_counts": {
"satisfied": 1,
"likely_satisfied": 2,
"happy": 1
},
"claude_helpfulness": "essential",
"session_type": "iterative_refinement",
"friction_counts": {
"wrong_approach": 2
},
"friction_detail": "Claude initially couldn't access Gitea issues due to token scope, and spent time investigating the wrong root cause (X-Check mapping) before the user's hint about rejoining led to finding the actual state recovery bug.",
"primary_success": "good_debugging",
"brief_summary": "User reported a double play bug from Gitea; Claude investigated, found a state recovery bug where current_on_base_code wasn't recalculated after game rejoin, fixed it, committed, pushed, and created a PR successfully.",
"session_id": "1e667f64-78c8-4cd8-b1fc-53580c9afa8f"
}

23
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{
"underlying_goal": "Perform Proxmox 7→8 migration preparation steps without downtime, including pre-flight checks and VM backups",
"goal_categories": {
"infrastructure_migration": 1,
"backup_management": 2,
"monitoring": 2,
"status_check": 2
},
"outcome": "fully_achieved",
"user_satisfaction_counts": {
"likely_satisfied": 4,
"satisfied": 1
},
"claude_helpfulness": "essential",
"session_type": "iterative_refinement",
"friction_counts": {
"buggy_code": 1
},
"friction_detail": "SSH timeouts caused background task monitoring to report false failures, and initial backup of VM 112 hung requiring manual cleanup and retry.",
"primary_success": "proactive_help",
"brief_summary": "User wanted to run non-disruptive Proxmox 7→8 migration preparation steps including pre-flight checks and VM backups, and after resolving a hung backup issue, all 6 critical backups completed successfully.",
"session_id": "20d41ffc-9271-4d23-8d59-d243e04b9803"
}

21
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{
"underlying_goal": "Fix a broken local development environment for outbound-event-handler and debug a KeyError in event processing",
"goal_categories": {
"debugging": 3,
"environment_fix": 1,
"system_check": 1
},
"outcome": "mostly_achieved",
"user_satisfaction_counts": {
"likely_satisfied": 3
},
"claude_helpfulness": "essential",
"session_type": "iterative_refinement",
"friction_counts": {
"wrong_approach": 1
},
"friction_detail": "Initial venv recreation installed packages into the wrong venv, requiring a second attempt with explicit targeting.",
"primary_success": "good_debugging",
"brief_summary": "User needed to fix a broken venv (Python version mismatch) and debug a KeyError caused by column name mismatches from a stored procedure; Claude diagnosed both issues and applied fixes iteratively.",
"session_id": "219ce62b-2828-46ef-9923-a331ba7fa536"
}

15
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{
"underlying_goal": "No discernible goal - user immediately exited the session",
"goal_categories": {
"warmup_minimal": 1
},
"outcome": "unclear_from_transcript",
"user_satisfaction_counts": {},
"claude_helpfulness": "unhelpful",
"session_type": "single_task",
"friction_counts": {},
"friction_detail": "",
"primary_success": "none",
"brief_summary": "User opened a session and immediately exited with /exit command without making any requests.",
"session_id": "22ff6bc8-cd9a-4385-8805-cc9876ed449b"
}

20
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{
"underlying_goal": "Continue a structured review process for play_resolver.py, specifically building groundball truth table tests and fixing any bugs discovered along the way",
"goal_categories": {
"code_review_and_testing": 1,
"git_operations": 1
},
"outcome": "fully_achieved",
"user_satisfaction_counts": {
"likely_satisfied": 1
},
"claude_helpfulness": "essential",
"session_type": "iterative_refinement",
"friction_counts": {
"buggy_code": 1
},
"friction_detail": "Initial groundball truth table tests had 39 failures due to unexpected 'hold' movements emitted by runner_advancement code, requiring assertion helper updates.",
"primary_success": "multi_file_changes",
"brief_summary": "User continued a play_resolver review session; Claude discovered and fixed a critical encoding mismatch bug, wrote 88 groundball truth table tests, got all 2401 tests passing, and committed/pushed to homelab.",
"session_id": "286bad76-f65d-406e-a882-f4d455e8ecc3"
}

17
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{
"underlying_goal": "Unknown - session was interrupted before any request was made",
"goal_categories": {
"warmup_minimal": 1
},
"outcome": "unclear_from_transcript",
"user_satisfaction_counts": {},
"claude_helpfulness": "unhelpful",
"session_type": "single_task",
"friction_counts": {
"user_rejected_action": 1
},
"friction_detail": "User interrupted Claude's tool use before any meaningful interaction occurred.",
"primary_success": "none",
"brief_summary": "User started a session but immediately interrupted Claude's tool use, resulting in no completed work.",
"session_id": "2887a0ce-fb95-4892-8e44-415dc325967a"
}

17
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{
"underlying_goal": "Switch to the main branch and pull latest changes",
"goal_categories": {
"git_operations": 1
},
"outcome": "fully_achieved",
"user_satisfaction_counts": {
"likely_satisfied": 1
},
"claude_helpfulness": "very_helpful",
"session_type": "single_task",
"friction_counts": {},
"friction_detail": "",
"primary_success": "proactive_help",
"brief_summary": "User asked to switch to main and pull; Claude handled the diverged remotes correctly and fast-forwarded to the latest commit.",
"session_id": "2a99055e-6dba-4b72-97ac-87ad484824b0"
}

17
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{
"underlying_goal": "Verify whether the VLAN configuration (Native VLAN 10 with Allow All) on UniFi switch ports connected to servers is correct",
"goal_categories": {
"networking_configuration_advice": 1
},
"outcome": "partially_achieved",
"user_satisfaction_counts": {
"unclear": 1
},
"claude_helpfulness": "moderately_helpful",
"session_type": "quick_question",
"friction_counts": {},
"friction_detail": "",
"primary_success": "good_explanations",
"brief_summary": "User asked whether 'Allow All' was the right VLAN tagging setting for server switch ports; Claude began explaining it was likely incorrect but the session ended before the full answer was delivered.",
"session_id": "2e844ba5-fea5-4073-a7fe-5e27b932820b"
}

26
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{
"underlying_goal": "Fix an ugly error that takes over the terminal when hitting the sync button in a Textual TUI application",
"goal_categories": {
"bug_fix": 1,
"ui_improvement": 1,
"git_operations": 2
},
"outcome": "mostly_achieved",
"user_satisfaction_counts": {
"frustrated": 3,
"dissatisfied": 1,
"likely_satisfied": 2
},
"claude_helpfulness": "moderately_helpful",
"session_type": "iterative_refinement",
"friction_counts": {
"wrong_approach": 2,
"excessive_changes": 1,
"misunderstood_request": 1,
"buggy_code": 1
},
"friction_detail": "Claude went down an API key rabbit hole instead of focusing on the actual display issue, added an unnecessary API key check that broke sync, and repeatedly misattributed the Cloudflare error to a missing API key.",
"primary_success": "good_debugging",
"brief_summary": "User wanted to fix a sync error corrupting their TUI display; Claude eventually fixed logging and added a loading spinner, but frustrated the user by going down irrelevant rabbit holes about API keys and creating new errors along the way.",
"session_id": "3355afd4-9cb8-4c16-840d-ae19696ba284"
}

21
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{
"underlying_goal": "Fix an inconsistent win/loss streak calculation caused by incorrect game sort order in the standings recalculation function, then push the fix and resolve PR issues",
"goal_categories": {
"debugging": 1,
"code_fix": 1,
"git_operations": 2
},
"outcome": "fully_achieved",
"user_satisfaction_counts": {
"likely_satisfied": 4
},
"claude_helpfulness": "very_helpful",
"session_type": "iterative_refinement",
"friction_counts": {
"merge_conflict": 1
},
"friction_detail": "A VERSION file merge conflict occurred during the PR, requiring a rebase to resolve.",
"primary_success": "good_debugging",
"brief_summary": "User wanted to fix an inconsistent win/loss streak bug caused by unsorted games, push it as a bugfix branch, and resolve a merge conflict in the PR — all were successfully completed.",
"session_id": "34d09394-7dff-4d41-b82e-6c4b59dc4ff2"
}

15
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{
"underlying_goal": "Implement frontend UI for uncapped hit decision workflow in a strategy gameplay webapp, based on an open Gitea issue",
"goal_categories": {
"feature_implementation": 1
},
"outcome": "partially_achieved",
"user_satisfaction_counts": {},
"friction_counts": {},
"friction_detail": "",
"claude_helpfulness": "moderately_helpful",
"session_type": "single_task",
"primary_success": "proactive_help",
"brief_summary": "User asked to work on an uncapped hit decision UI feature from the backlog; Claude thoroughly explored the codebase and created a detailed implementation plan but did not produce any actual feature code within the session.",
"session_id": "3be8ec7c-1dab-425e-9bf5-43a23597d406"
}

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{
"underlying_goal": "Build a local PySide6 system tray app for capturing thoughts (text + voice) as structured markdown files, then design a kanban-style display interface for managing captured entries",
"goal_categories": {
"feature_implementation": 1,
"design_collaboration": 1
},
"outcome": "fully_achieved",
"user_satisfaction_counts": {
"likely_satisfied": 2,
"satisfied": 1
},
"claude_helpfulness": "essential",
"session_type": "multi_task",
"friction_counts": {},
"friction_detail": "",
"primary_success": "multi_file_changes",
"brief_summary": "User asked Claude to implement a full local capture app from a detailed plan and then design a kanban board extension; the app was built end-to-end, verified working with a real saved note, and the kanban design was drafted collaboratively.",
"session_id": "4a03e07c-af98-46af-ba68-83910570c407"
}

25
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{
"underlying_goal": "User wanted to evaluate and migrate from bash to zsh, customize their Claude Code status line, and fix display issues",
"goal_categories": {
"information_request": 3,
"setup_and_configuration": 1,
"ui_customization": 3,
"debugging": 1
},
"outcome": "mostly_achieved",
"user_satisfaction_counts": {
"satisfied": 1,
"likely_satisfied": 4,
"dissatisfied": 1
},
"claude_helpfulness": "very_helpful",
"session_type": "multi_task",
"friction_counts": {
"excessive_changes": 1,
"user_rejected_action": 1
},
"friction_detail": "Claude attempted to change the default shell with chsh when the user only wanted to test zsh, requiring user to interrupt and correct.",
"primary_success": "correct_code_edits",
"brief_summary": "User explored zsh migration, set up zsh config, customized Claude Code status line with git info and line breaks, and fixed display width issues — mostly achieved with one overstep on changing the default shell.",
"session_id": "4da99d73-bbb5-4c63-ae94-4a4965c9e883"
}

20
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{
"underlying_goal": "Design and implement a locally-run app that captures text or voice messages, stores them as markdown, and makes them available for future AI agent processing — to help a user with poor memory/focus track ongoing work",
"goal_categories": {
"app_design_and_implementation": 1,
"plan_review": 1
},
"outcome": "partially_achieved",
"user_satisfaction_counts": {
"likely_satisfied": 1
},
"claude_helpfulness": "moderately_helpful",
"session_type": "exploration",
"friction_counts": {
"wrong_approach": 1
},
"friction_detail": "Claude got stuck in plan/exit-plan mode cycling and attempted to create a team but couldn't properly execute, leaving the session in planning without actual implementation.",
"primary_success": "good_explanations",
"brief_summary": "User asked for design and implementation of a voice/text memory capture app; Claude produced a detailed plan but did not get to actual implementation within the session.",
"session_id": "517562a3-10fb-4106-a5cc-a39a40e3f8e7"
}

20
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{
"underlying_goal": "Complete the backend implementation of an Uncapped Hit Decision Tree feature, write tests, update documentation, close the issue, and create a frontend follow-up ticket",
"goal_categories": {
"information_question": 2,
"project_management": 1,
"documentation_update": 1
},
"outcome": "fully_achieved",
"user_satisfaction_counts": {
"satisfied": 1,
"likely_satisfied": 2
},
"claude_helpfulness": "essential",
"session_type": "multi_task",
"friction_counts": {},
"friction_detail": "",
"primary_success": "multi_file_changes",
"brief_summary": "User continued a prior session to finish backend implementation with tests, then asked Claude to close the GitHub issue, create a frontend follow-up ticket, and update stale documentation—all completed successfully.",
"session_id": "5538e04a-6c3f-4a31-804e-81817efd3c64"
}

23
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{
"underlying_goal": "Fix Docker build caching in Gitea CI workflows across multiple repos by switching from broken GHA cache to registry-based caching",
"goal_categories": {
"debugging_investigation": 1,
"technical_question": 1,
"architecture_decision": 1,
"code_changes_across_repos": 1,
"force_merge_prs": 1
},
"outcome": "fully_achieved",
"user_satisfaction_counts": {
"likely_satisfied": 4
},
"claude_helpfulness": "essential",
"session_type": "iterative_refinement",
"friction_counts": {
"wrong_approach": 1
},
"friction_detail": "Claude initially looked at wrong repo names and had to be corrected by the user providing the actual repo names.",
"primary_success": "multi_file_changes",
"brief_summary": "User noticed Docker build caching wasn't working in Gitea CI; Claude diagnosed the issue, recommended switching to registry-based caching, updated the template and all four repo workflows via PRs, and force-merged them.",
"session_id": "55f2e4a7-bfe5-40ba-bf6a-79486c2a8c17"
}

27
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{
"underlying_goal": "Spin up three local Python cloud functions, debug connectivity and configuration issues, verify end-to-end data flow, and update documentation to prevent future issues",
"goal_categories": {
"start_local_servers": 1,
"debug_configuration_error": 2,
"restart_server": 2,
"check_logs": 3,
"stop_servers": 1,
"update_documentation": 1
},
"outcome": "fully_achieved",
"user_satisfaction_counts": {
"likely_satisfied": 6,
"satisfied": 2,
"dissatisfied": 2
},
"claude_helpfulness": "essential",
"session_type": "iterative_refinement",
"friction_counts": {
"buggy_code": 2,
"misunderstood_request": 1
},
"friction_detail": ".env files had Docker-only paths and a self-referencing URL causing an infinite loop; Claude also checked the wrong service (router instead of event-handler) when asked about logs.",
"primary_success": "good_debugging",
"brief_summary": "User wanted to run three local Python functions and test their integration; Claude debugged GCP credential paths, a self-referencing URL causing an infinite loop, and updated .env.example documentation, achieving full success.",
"session_id": "5cd5dc56-6d4f-419a-a6d5-3e1bc5468630"
}

20
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{
"underlying_goal": "Continue implementing UI component fixes for a baseball strategy game webapp, including conditional rendering fixes, emoji cleanup, and restoring lost UI elements",
"goal_categories": {
"code_changes": 3,
"git_operations": 1
},
"outcome": "fully_achieved",
"user_satisfaction_counts": {
"likely_satisfied": 4
},
"claude_helpfulness": "essential",
"session_type": "multi_task",
"friction_counts": {
"buggy_code": 1
},
"friction_detail": "The hold/status pills on baserunner boxes were accidentally lost during prior changes, requiring a fix to always show them on occupied bases.",
"primary_success": "multi_file_changes",
"brief_summary": "User continued implementing UI component fixes (OffensiveApproach conditional rendering, emoji removal, restoring lost hold pills) across multiple files with all 531 tests passing and successfully pushed to homelab.",
"session_id": "62d853ca-1bb1-41db-9a97-59e42178a6b8"
}

21
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@ -0,0 +1,21 @@
{
"underlying_goal": "Find and download free RPG character token art for use in a Foundry VTT Age of Ashes Pathfinder campaign",
"goal_categories": {
"web_search_for_resources": 1,
"download_and_organize_files": 1,
"information_request": 1
},
"outcome": "mostly_achieved",
"user_satisfaction_counts": {
"likely_satisfied": 3
},
"claude_helpfulness": "very_helpful",
"session_type": "multi_task",
"friction_counts": {
"wrong_approach": 1
},
"friction_detail": "Many token sites blocked automated downloads, requiring Claude to pivot strategies and create manual download guides instead of directly fetching content.",
"primary_success": "fast_accurate_search",
"brief_summary": "User wanted free RPG token art for their Foundry VTT campaign; Claude searched the web, downloaded 213 free tokens into an organized folder, and provided premium purchase recommendations.",
"session_id": "7749f1e8-4acd-439a-b0e3-4c76b7ee5235"
}

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{
"underlying_goal": "Investigate a Discord bot error reported by a user, fix the underlying position validation bug, clean up the broken game state, and deploy the fix",
"goal_categories": {
"debugging_investigation": 1,
"bug_fix": 1,
"database_cleanup": 1,
"deployment": 1
},
"outcome": "fully_achieved",
"user_satisfaction_counts": {
"likely_satisfied": 3
},
"claude_helpfulness": "essential",
"session_type": "multi_task",
"friction_counts": {},
"friction_detail": "",
"primary_success": "good_debugging",
"brief_summary": "User asked Claude to investigate a Discord bot error, fix the position validation bug allowing players at invalid positions, clean up the stuck game, and deploy — all completed successfully with a PR merged and bot restarted.",
"session_id": "7cd350e2-61a8-440c-a3ba-155e8644a145"
}

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{
"underlying_goal": "Build out features for a personal memory/kanban app, fix bugs, set up git hosting, create project documentation, and configure autostart",
"goal_categories": {
"feature_implementation": 3,
"bug_fix": 2,
"git_operations": 4,
"skill_creation": 1,
"configuration": 1,
"documentation": 1
},
"outcome": "fully_achieved",
"user_satisfaction_counts": {
"happy": 2,
"satisfied": 1,
"likely_satisfied": 8
},
"claude_helpfulness": "essential",
"session_type": "multi_task",
"friction_counts": {
"wrong_approach": 1,
"external_dependency": 1
},
"friction_detail": "The collapsed column height fix took two iterations (first approach with size policy didn't work visually), and the Gitea token initially lacked the right scope.",
"primary_success": "correct_code_edits",
"brief_summary": "User implemented multiple features (collapsible column, cancelled status, SIGINT handling, CUDA fallback), set up git remote, created a /backlog skill, configured autostart, and wrote project docs — all achieved successfully across a productive 83-minute session.",
"session_id": "7f5ee471-3879-42a6-b2c0-971fdb15ed29"
}

21
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{
"underlying_goal": "Check the project backlog for open issues, then fix the reported bug about pitcher error rating recognition in dice.py",
"goal_categories": {
"bug_fix": 1,
"backlog_check": 1,
"git_operations": 2
},
"outcome": "fully_achieved",
"user_satisfaction_counts": {
"likely_satisfied": 4
},
"claude_helpfulness": "essential",
"session_type": "single_task",
"friction_counts": {
"environment_issues": 1
},
"friction_detail": "Test infrastructure (testcontainers/Docker/Ryuk) required troubleshooting before tests could run, but this was environmental not Claude's fault.",
"primary_success": "good_debugging",
"brief_summary": "User checked backlog, selected an issue about pitcher error ratings not being recognized, Claude identified and fixed the missing `*range()` unpacking bug in dice.py, ran tests, and committed/pushed the fix.",
"session_id": "80d9b0be-21d5-40cc-8e6b-c839cbf63fdd"
}

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{
"underlying_goal": "Refactor a skill definition by consolidating documentation files, fixing CLI/API client bugs, and updating guidance to prefer CLI over raw API calls",
"goal_categories": {
"refactoring_documentation": 4,
"testing_and_verification": 1,
"bug_fixing": 2,
"documentation_update": 1,
"feature_enhancement": 1
},
"outcome": "fully_achieved",
"user_satisfaction_counts": {
"satisfied": 4,
"happy": 1,
"likely_satisfied": 4
},
"claude_helpfulness": "essential",
"session_type": "multi_task",
"friction_counts": {
"wrong_approach": 1
},
"friction_detail": "Claude wrote raw Python test scripts instead of using the existing CLI tool, which the user corrected.",
"primary_success": "multi_file_changes",
"brief_summary": "User directed a multi-priority refactoring of skill documentation files, API client auth fixes, CLI bug fixes, and documentation updates to prefer CLI-first usage — all completed successfully across ~9 tasks.",
"session_id": "829c2709-523b-455b-8f18-c9e98683677d"
}

23
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{
"underlying_goal": "Commit, test, fix, and merge previously completed work for uncapped hit decision tree (Issue #6) into main branch",
"goal_categories": {
"git_operations": 5,
"testing": 2,
"bug_fixing": 1,
"information_retrieval": 1
},
"outcome": "fully_achieved",
"user_satisfaction_counts": {
"satisfied": 3,
"likely_satisfied": 5
},
"claude_helpfulness": "essential",
"session_type": "multi_task",
"friction_counts": {
"wrong_approach": 1
},
"friction_detail": "Claude attempted to approve its own PR via Gitea API which Gitea's branch protection rules don't allow, requiring user to merge manually.",
"primary_success": "good_debugging",
"brief_summary": "User wanted to commit, test, and merge uncapped hit feature work including fixing pre-existing failing tests, and achieved it fully with Claude handling test fixes, git operations, and PR creation.",
"session_id": "88ca0312-2889-43e0-84ee-7062e689c2ce"
}

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{
"underlying_goal": "Set up comprehensive monitoring infrastructure for a homelab with Docker services, including deploying Uptime Kuma, configuring monitors, alerts, and maintaining documentation",
"goal_categories": {
"infrastructure_setup": 1,
"documentation_update": 3,
"git_operations": 3,
"troubleshooting": 1,
"monitoring_configuration": 2,
"information_query": 2,
"memory_storage": 1
},
"outcome": "fully_achieved",
"user_satisfaction_counts": {
"satisfied": 5,
"happy": 2,
"likely_satisfied": 4
},
"claude_helpfulness": "essential",
"session_type": "multi_task",
"friction_counts": {
"buggy_code": 2,
"wrong_approach": 1
},
"friction_detail": "Monitor creation script had wrong accepted_statuscodes format causing partial failures, and Pi-hole dns-rr/local= approach for blocking ECH didn't work requiring a pivot to Chromium enterprise policy.",
"primary_success": "proactive_help",
"brief_summary": "User wanted to set up Uptime Kuma monitoring for their homelab, configure 20 service monitors with Discord alerts, fix a Brave browser ECH/SSL issue, batch-commit changes, and update documentation — all were fully achieved across a comprehensive session.",
"session_id": "957e6ca9-4331-46af-a23e-fb8805a48b31"
}

27
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{
"underlying_goal": "Fix 403 errors for external users accessing vagabond.manticorum.com and properly configure the networking stack (Cloudflare, UDM-Pro firewall, NPM access lists, Pi-hole DNS) for secure and functional access",
"goal_categories": {
"troubleshooting_networking": 3,
"configuration_guidance": 3,
"understanding_concepts": 2,
"scripting_automation": 1,
"research": 1,
"note_taking": 1
},
"outcome": "mostly_achieved",
"user_satisfaction_counts": {
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"satisfied": 2,
"dissatisfied": 2
},
"claude_helpfulness": "very_helpful",
"session_type": "iterative_refinement",
"friction_counts": {
"wrong_approach": 4,
"buggy_code": 2
},
"friction_detail": "Multiple failed attempts to script Pi-hole v6 DNS records (editing nginx files instead of DB, wrong DB table, TOML approach failed, Python dependency missing) before ultimately resorting to manual entry.",
"primary_success": "good_debugging",
"brief_summary": "User needed to fix 403 errors for external users on their homelab; Claude correctly diagnosed the NPM access list and Cloudflare interaction issues, guided UDM-Pro firewall setup, but struggled significantly with Pi-hole v6 DNS automation before settling on manual entry.",
"session_id": "9cc5b329-a473-4eae-95d7-2380ff32f9f3"
}

19
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{
"underlying_goal": "Implement a kanban board UI for a personal memory/note-taking app, with iterative refinements including a board launch button and smart completed column filtering",
"goal_categories": {
"feature_implementation": 3,
"how_to_question": 1
},
"outcome": "mostly_achieved",
"user_satisfaction_counts": {
"satisfied": 1,
"likely_satisfied": 1
},
"claude_helpfulness": "essential",
"session_type": "iterative_refinement",
"friction_counts": {},
"friction_detail": "",
"primary_success": "multi_file_changes",
"brief_summary": "User asked Claude to implement a kanban board feature, add a button to open it from the capture window, and add a collapsible/filtered completed column — all were implemented or started successfully.",
"session_id": "9e079ba7-afec-4a77-a82a-bd2faf22178d"
}

23
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{
"underlying_goal": "Investigate and fix a 500 error on a PATCH endpoint for teams, ensure the same bug pattern doesn't exist elsewhere, and deploy the fix",
"goal_categories": {
"git_operations": 2,
"debugging": 1,
"codebase_audit": 1,
"clarification_question": 1
},
"outcome": "fully_achieved",
"user_satisfaction_counts": {
"satisfied": 1,
"likely_satisfied": 2
},
"claude_helpfulness": "essential",
"session_type": "multi_task",
"friction_counts": {
"wrong_approach": 1
},
"friction_detail": "Attempted to commit directly to protected main branch instead of creating a PR, requiring a branch/PR workflow correction.",
"primary_success": "good_debugging",
"brief_summary": "User needed a 500 error on team PATCH investigated and fixed; Claude identified the locals() bug, fixed it in both affected files, answered a follow-up question, and created a PR for deployment.",
"session_id": "a15a905a-988e-4566-b74a-ed0bf7e0688d"
}

21
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{
"underlying_goal": "Iteratively refine the gameplay UI components including fixing tests, swapping pitcher/batter positions, adjusting transparency, and implementing responsive mobile/desktop layouts",
"goal_categories": {
"ui_layout_change": 4,
"style_adjustment": 2,
"quick_question": 1,
"deploy/push": 1
},
"outcome": "fully_achieved",
"user_satisfaction_counts": {
"satisfied": 1,
"likely_satisfied": 5
},
"claude_helpfulness": "very_helpful",
"session_type": "iterative_refinement",
"friction_counts": {},
"friction_detail": "",
"primary_success": "correct_code_edits",
"brief_summary": "User iteratively refined gameplay UI layout — swapping pitcher/batter positions, adjusting background transparency, and implementing responsive mobile/desktop stacking — all changes were completed, tested, and pushed successfully.",
"session_id": "a652ce73-49f2-4e69-856c-061e83b63334"
}

20
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{
"underlying_goal": "Compact the defensive setup UI component by reducing blank space and hiding it when there are no choices, implemented in a feature branch",
"goal_categories": {
"ui_redesign": 1,
"feature_branch_creation": 1,
"design_mockup": 1,
"implementation_planning": 1
},
"outcome": "partially_achieved",
"user_satisfaction_counts": {
"satisfied": 1
},
"claude_helpfulness": "very_helpful",
"session_type": "iterative_refinement",
"friction_counts": {},
"friction_detail": "",
"primary_success": "proactive_help",
"brief_summary": "User wanted to compact the defensive setup component and hide it when unnecessary; Claude created a feature branch, built HTML mockups with three design options, user picked Option A with a note about Hold button syncing, and Claude began planning the implementation but the session ended before code was written.",
"session_id": "ad78b1af-629a-48c3-bf13-f316eac72748"
}

22
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{
"underlying_goal": "Fix DNS resolution for git.manticorum.com by adding IPv6 overrides to both Pi-hole instances to prevent IPv6/IPv4 DNS conflicts",
"goal_categories": {
"dns_troubleshooting_and_fix": 1,
"infrastructure_configuration": 1
},
"outcome": "fully_achieved",
"user_satisfaction_counts": {
"frustrated": 1,
"likely_satisfied": 1
},
"claude_helpfulness": "very_helpful",
"session_type": "iterative_refinement",
"friction_counts": {
"wrong_approach": 3,
"user_rejected_action": 1
},
"friction_detail": "Claude prompted for SSH passwords instead of using configured aliases, and tried multiple wrong dnsmasq config approaches (custom.list, dnsmasq conf files) before discovering the correct pihole.toml method.",
"primary_success": "good_debugging",
"brief_summary": "User needed to fix Gitea DNS access by adding IPv6 overrides to Pi-holes; Claude eventually succeeded after multiple failed config approaches and being scolded for not using SSH aliases.",
"session_id": "b1502716-fc51-4f3b-92a3-5673e3d521da"
}

15
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{
"underlying_goal": "User wanted a conceptual explanation of what a 'second brain' means",
"goal_categories": {
"knowledge_question": 1
},
"outcome": "fully_achieved",
"user_satisfaction_counts": {},
"claude_helpfulness": "moderately_helpful",
"session_type": "quick_question",
"friction_counts": {},
"friction_detail": "",
"primary_success": "good_explanations",
"brief_summary": "User asked what a 'second brain' means and Claude provided a clear conceptual explanation.",
"session_id": "b222ea38-264a-404f-859f-1590741d4d97"
}

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{
"underlying_goal": "Set up, debug, and polish the outbound-event-handler Cloud Function for local development, including linting, environment configuration, dependency fixes, and documentation",
"goal_categories": {
"code_quality_check": 1,
"auto_fix_issues": 1,
"question_about_code": 3,
"create_file": 1,
"local_dev_setup": 1,
"debugging": 2,
"git_operations": 3,
"documentation_review": 1
},
"outcome": "mostly_achieved",
"user_satisfaction_counts": {
"satisfied": 3,
"likely_satisfied": 5,
"dissatisfied": 2
},
"claude_helpfulness": "very_helpful",
"session_type": "multi_task",
"friction_counts": {
"buggy_code": 2,
"wrong_approach": 1
},
"friction_detail": "The run-local.sh and Makefile had dependency/venv issues and Windows line endings that required multiple rounds of debugging; Claude also initially created a Makefile the user didn't want.",
"primary_success": "good_debugging",
"brief_summary": "User wanted to lint, configure, and locally run an outbound-event-handler Cloud Function, plus push changes to remotes; Claude helped through multiple rounds of fixing dependency and config issues, mostly achieving the goal.",
"session_id": "c657cf3d-dc29-41c5-b30e-b1c27fe1b0f5"
}

15
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{
"underlying_goal": "Add a homelab remote git server to the project repository",
"goal_categories": {
"git_configuration": 1
},
"outcome": "fully_achieved",
"user_satisfaction_counts": {},
"claude_helpfulness": "moderately_helpful",
"session_type": "single_task",
"friction_counts": {},
"friction_detail": "",
"primary_success": "fast_accurate_search",
"brief_summary": "User asked to add a homelab remote git server; Claude checked and found it was already configured, informing the user.",
"session_id": "c711133e-69a8-4f97-b3b9-ff288f1cb494"
}

27
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{
"underlying_goal": "Refactor outbound-event-handler from Pub/Sub to HTTP POST, create run-local scripts for multiple cloud functions, update all documentation and tooling, and fix code quality issues",
"goal_categories": {
"code_refactoring": 1,
"create_scripts": 1,
"documentation_updates": 4,
"git_commits": 2,
"code_quality_checks": 1,
"fix_linting_issues": 1,
"update_pre_commit_hook": 1
},
"outcome": "fully_achieved",
"user_satisfaction_counts": {
"satisfied": 6,
"likely_satisfied": 4,
"happy": 1
},
"claude_helpfulness": "essential",
"session_type": "multi_task",
"friction_counts": {
"minor_issue": 1
},
"friction_detail": "The .githooks directory was gitignored so the pre-commit hook update couldn't be committed, but Claude handled it gracefully by committing just the code fixes.",
"primary_success": "multi_file_changes",
"brief_summary": "User directed a multi-step refactor replacing Pub/Sub with HTTP POST, creating local run scripts, updating docs, fixing lint issues, and updating pre-commit hooks across a monorepo — all tasks were completed successfully.",
"session_id": "d31dcffd-d57f-4785-8ce1-da7fc8ee655f"
}

22
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{
"underlying_goal": "Complete post-reboot cleanup after a Nobara Linux upgrade and troubleshoot a Logitech Brio camera showing a white screen in Chromium",
"goal_categories": {
"memory_retrieval": 1,
"system_administration": 3,
"hardware_troubleshooting": 1
},
"outcome": "mostly_achieved",
"user_satisfaction_counts": {
"likely_satisfied": 3,
"dissatisfied": 1
},
"claude_helpfulness": "very_helpful",
"session_type": "multi_task",
"friction_counts": {
"wrong_approach": 2
},
"friction_detail": "Claude initially tried exposure/brightness adjustments and asked about a privacy shutter instead of quickly diagnosing it as a Chromium-specific issue; user had to provide the hint about the recent OS upgrade.",
"primary_success": "good_debugging",
"brief_summary": "User wanted post-reboot kernel cleanup and camera troubleshooting; kernel cleanup completed successfully, camera issue was narrowed down to a Chromium/WebRTC problem but final resolution is unclear from the transcript.",
"session_id": "d4e2dd04-9599-43b9-8c93-328092c23635"
}

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{
"underlying_goal": "Fix a bug where the batter order skips a player when a half-inning ends on a Caught Stealing, then write a test, create a bugfix branch, and merge it via Gitea PR",
"goal_categories": {
"bug_investigation": 1,
"implement_fix": 1,
"write_test_and_branch": 1,
"git_operations": 3
},
"outcome": "fully_achieved",
"user_satisfaction_counts": {
"likely_satisfied": 4
},
"claude_helpfulness": "essential",
"session_type": "iterative_refinement",
"friction_counts": {
"wrong_approach": 1
},
"friction_detail": "Gitea API merge failed due to branch divergence/conflicts requiring a local rebase and force push workaround.",
"primary_success": "good_debugging",
"brief_summary": "User asked Claude to investigate and fix a batter-skipping bug on caught stealing, write a test, create a PR, and force merge it—all completed successfully despite minor merge conflicts.",
"session_id": "e3625540-61bc-4026-8696-5baddde31991"
}

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{
"underlying_goal": "Diagnose and fix internet connectivity issues on a new UniFi WiFi network (10.1.0.0/24), including firewall/DNS problems and device migration issues",
"goal_categories": {
"network_troubleshooting": 6,
"configuration_guidance": 3,
"documentation_update": 1,
"information_lookup": 1
},
"outcome": "mostly_achieved",
"user_satisfaction_counts": {
"happy": 1,
"satisfied": 1,
"likely_satisfied": 3,
"dissatisfied": 0,
"frustrated": 0
},
"claude_helpfulness": "very_helpful",
"session_type": "iterative_refinement",
"friction_counts": {
"wrong_approach": 2,
"misunderstood_request": 1
},
"friction_detail": "Claude initially focused on NAT/routing and network assignment as the problem when the DNS issue was identified by the user; later Claude suggested static IP and VLAN cross-talk causes for the Roku issue that were repeatedly ruled out by the user.",
"primary_success": "good_debugging",
"brief_summary": "User needed help diagnosing no internet on a new UniFi WiFi network; the DNS/firewall issue was resolved successfully, but a persistent Roku device connectivity problem remained unresolved when the session ended.",
"session_id": "e66a3196-bb61-44b3-b520-a053b34063b2"
}

15
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{
"underlying_goal": "Continue implementing an interactive defensive x-check workflow for a baseball simulation game, completing frontend integration and saving detailed documentation for future continuation",
"goal_categories": {
"documentation_creation": 1
},
"outcome": "fully_achieved",
"user_satisfaction_counts": {},
"claude_helpfulness": "very_helpful",
"session_type": "multi_task",
"friction_counts": {},
"friction_detail": "",
"primary_success": "multi_file_changes",
"brief_summary": "User asked Claude to save detailed documentation on the x-check workflow implementation plan including completed/remaining work, and Claude created comprehensive documentation.",
"session_id": "e8953d2b-5f68-45e1-bf45-1085c5caafd1"
}

21
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{
"underlying_goal": "Deploy a high-availability Pi-hole setup with a secondary instance to eliminate single point of failure for home network DNS",
"goal_categories": {
"infrastructure_deployment": 1,
"information_question": 1
},
"outcome": "partially_achieved",
"user_satisfaction_counts": {
"satisfied": 1,
"likely_satisfied": 1
},
"claude_helpfulness": "very_helpful",
"session_type": "single_task",
"friction_counts": {
"environmental_issue": 1
},
"friction_detail": "Port 53 was already in use by systemd-resolved on the target host, blocking Pi-hole container startup and requiring manual sudo intervention.",
"primary_success": "multi_file_changes",
"brief_summary": "User asked to implement a Pi-hole HA deployment plan; Claude created all config files and docs (Phase 1), began Phase 2 deployment but hit a port conflict requiring manual sudo steps on the remote host.",
"session_id": "e9e1787b-51b2-43d9-b961-112519c4921b"
}

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@ -0,0 +1,25 @@
{
"underlying_goal": "Plan and implement uncapped hit decision tree logic (SINGLE_UNCAPPED, DOUBLE_UNCAPPED) for a Strat-O-Matic baseball strategy game webapp",
"goal_categories": {
"check_backlog": 1,
"create_issue": 1,
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"satisfied": 1,
"likely_satisfied": 3
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"claude_helpfulness": "very_helpful",
"session_type": "iterative_refinement",
"friction_counts": {
"buggy_code": 1,
"excessive_changes": 1
},
"friction_detail": "API calls consistently failed on first attempt due to shell escaping issues, and duplicate Gitea issues were created requiring cleanup.",
"primary_success": "good_explanations",
"brief_summary": "User wanted to pick a backlog task, create a tracking issue, and plan implementation of uncapped hit decision trees; Claude gathered rules through iterative Q&A and produced a plan, but had repeated API call failures and created duplicate issues.",
"session_id": "e9f34e65-5b8c-4349-8774-1a761c04761c"
}

20
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{
"underlying_goal": "Refactor the play locking system in a Discord bot to use an async context manager, fixing bugs where locks get permanently stuck due to early returns and other structural issues",
"goal_categories": {
"code_refactoring": 1,
"git_operations": 1
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"friction_detail": "One new test initially failed because the mock release_play_lock didn't actually set play.locked=False, causing both except and finally blocks to trigger; quickly fixed.",
"primary_success": "multi_file_changes",
"brief_summary": "User asked to implement a detailed refactoring plan for a play lock context manager across 18 commands, and Claude successfully created the context manager, migrated all commands, added tests, and pushed the changes.",
"session_id": "ede365e7-7b22-4a47-96b0-acc216bc0c1b"
}

26
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{
"underlying_goal": "Check if two baseball teams (KSK and Gauntlet-KSK) have the has_guide flag set, then diagnose and fix a DNS/networking issue causing 502 errors when accessing the production API",
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"primary_success": "good_debugging",
"brief_summary": "User wanted to check team data and ended up debugging a DNS/proxy issue causing 502 errors; the root cause was found and manually fixed, but the automated script update was over-engineered and deferred.",
"session_id": "faf1a518-8b57-4bf2-b9f4-1d89d45ba078"
}

17
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{
"underlying_goal": "Learn the terminal command to uninstall flatpak applications",
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"session_id": "fc13c31a-1760-4be2-b5da-1b03a93375c6"
}

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<div class="container">
<h1>Claude Code Insights</h1>
<p class="subtitle">1,457 messages across 134 sessions (169 total) | 2026-01-28 to 2026-02-12</p>
<div class="at-a-glance">
<div class="glance-title">At a Glance</div>
<div class="glance-sections">
<div class="glance-section"><strong>What's working:</strong> You've developed a really effective rhythm of pulling tasks from your backlog, driving Claude through implementation, testing, and pushing clean commits — treating it like a disciplined team member rather than a chatbot. Your iterative debugging sessions are particularly strong; chasing down 8+ chained bugs in a single sitting on your baseball sim while keeping all 2,400+ tests green shows a mature fix-test-retry workflow. You're also one of the rarer users who applies that same rigor to infrastructure work, getting real outcomes like CI caching fixes, monitoring setup, and Proxmox migration prep rather than just asking for explanations. <a href="#section-wins" class="see-more">Impressive Things You Did →</a></div>
<div class="glance-section"><strong>What's hindering you:</strong> On Claude's side, it too often charges down wrong paths — attempting disallowed git operations, using the wrong tools for your project, or fixating on irrelevant root causes (like the API key rabbit hole when you had a display bug) — which forces you to repeatedly intervene. On your side, several sessions burned significant time in planning mode without producing any code, and complex features tend to get built all-at-once rather than in testable increments, leading to cascading bug chains that inflate session length. <a href="#section-friction" class="see-more">Where Things Go Wrong →</a></div>
<div class="glance-section"><strong>Quick wins to try:</strong> Try creating a few custom slash commands (/backlog-to-pr, /homelab-deploy) that encode your most common constraints — like always using PR workflows, never committing to main, and running tests after each change — so you don't have to re-state them every session. Also consider using hooks to auto-run your test suite after edits, which would catch cascading bugs earlier instead of discovering them in batches at the end. <a href="#section-features" class="see-more">Features to Try →</a></div>
<div class="glance-section"><strong>Ambitious workflows:</strong> With your extensive test suite already in place, near-future models should be able to autonomously pick up Gitea issues, iterate on fixes until all tests pass, and open PRs for your review overnight — eliminating those long fix-test-retry marathons. For your homelab, imagine parallel agents each scoped to a single repo or service, simultaneously updating CI templates and configs across your infrastructure without the wrong-repo confusion that happens today, or even an autonomous SRE agent that monitors Uptime Kuma alerts and auto-remediates known patterns like DNS overrides. <a href="#section-horizon" class="see-more">On the Horizon →</a></div>
</div>
</div>
<nav class="nav-toc">
<a href="#section-work">What You Work On</a>
<a href="#section-usage">How You Use CC</a>
<a href="#section-wins">Impressive Things</a>
<a href="#section-friction">Where Things Go Wrong</a>
<a href="#section-features">Features to Try</a>
<a href="#section-patterns">New Usage Patterns</a>
<a href="#section-horizon">On the Horizon</a>
<a href="#section-feedback">Team Feedback</a>
</nav>
<div class="stats-row">
<div class="stat"><div class="stat-value">1,457</div><div class="stat-label">Messages</div></div>
<div class="stat"><div class="stat-value">+71,213/-4,052</div><div class="stat-label">Lines</div></div>
<div class="stat"><div class="stat-value">506</div><div class="stat-label">Files</div></div>
<div class="stat"><div class="stat-value">16</div><div class="stat-label">Days</div></div>
<div class="stat"><div class="stat-value">91.1</div><div class="stat-label">Msgs/Day</div></div>
</div>
<h2 id="section-work">What You Work On</h2>
<div class="project-areas">
<div class="project-area">
<div class="area-header">
<span class="area-name">Baseball Simulation Game (Full-Stack)</span>
<span class="area-count">~22 sessions</span>
</div>
<div class="area-desc">Development of a baseball simulation game with a Python backend and TypeScript/HTML frontend. Claude Code was used extensively for bug fixes (double plays, batter skipping, pitcher error ratings, play locking), UI refinements (baserunner pills, offensive/defensive panels, pitcher/batter layout, mobile responsiveness), feature implementation (uncapped hit decision trees, hold runner buttons, kanban-style backlog), and test authoring (groundball truth tables, 2400+ tests). Heavy use of Bash and Edit tools for iterative fix-test-retry cycles with commits pushed to a homelab Gitea instance.</div>
</div>
<div class="project-area">
<div class="area-header">
<span class="area-name">Homelab Infrastructure &amp; Networking</span>
<span class="area-count">~12 sessions</span>
</div>
<div class="area-desc">Setup and troubleshooting of homelab infrastructure including UniFi networking (firewall rules, VLAN tagging, DNS), Pi-hole HA deployment, Uptime Kuma monitoring with Discord alerts, Nginx Proxy Manager access lists, Proxmox migration preparation with VM backups, and Gitea CI/CD pipeline optimization (Docker registry-based caching). Claude Code was used for diagnosing 502/403/DNS errors, configuring services via SSH, writing deployment configs, and automating monitoring setup across roughly 20 services.</div>
</div>
<div class="project-area">
<div class="area-header">
<span class="area-name">Voice/Text Memory Capture App</span>
<span class="area-count">~5 sessions</span>
</div>
<div class="area-desc">Design and implementation of a local 'second brain' capture application for voice and text notes, including a kanban board extension with collapsible columns, SIGINT handling, CUDA fallback for speech processing, and autostart configuration. Claude Code built the app end-to-end in Python, implemented multiple UI features (capture window, kanban board with filtered completed column), and set up project documentation and git remotes.</div>
</div>
<div class="project-area">
<div class="area-header">
<span class="area-name">GCP Cloud Functions &amp; Monorepo Refactoring</span>
<span class="area-count">~6 sessions</span>
</div>
<div class="area-desc">Refactoring a GCP-based monorepo from Pub/Sub to HTTP POST architecture, fixing cloud function configurations, debugging credential paths, updating pre-commit hooks, and setting up local development workflows. Claude Code was used to plan and execute multi-file refactors across the monorepo, diagnose environment issues (broken venvs, Docker-only paths, self-referencing URLs), lint and locally run cloud functions, and update documentation to prefer CLI-first usage.</div>
</div>
<div class="project-area">
<div class="area-header">
<span class="area-name">Linux Desktop &amp; Dev Environment</span>
<span class="area-count">~5 sessions</span>
</div>
<div class="area-desc">System maintenance and developer environment configuration including Nobara Linux package updates (resolving Python conflicts and full EFI partitions), zsh migration with customized Claude Code status lines, kernel cleanup, Brave browser troubleshooting, and Flatpak management. Claude Code was used to diagnose and resolve system-level issues, configure shell environments, and run system updates when GUI tools failed.</div>
</div>
</div>
<div class="charts-row">
<div class="chart-card">
<div class="chart-title">What You Wanted</div>
<div class="bar-row">
<div class="bar-label">Git Operations</div>
<div class="bar-track"><div class="bar-fill" style="width:100%;background:#2563eb"></div></div>
<div class="bar-value">39</div>
</div>
<div class="bar-row">
<div class="bar-label">Bug Fix</div>
<div class="bar-track"><div class="bar-fill" style="width:33.33333333333333%;background:#2563eb"></div></div>
<div class="bar-value">13</div>
</div>
<div class="bar-row">
<div class="bar-label">Feature Implementation</div>
<div class="bar-track"><div class="bar-fill" style="width:25.64102564102564%;background:#2563eb"></div></div>
<div class="bar-value">10</div>
</div>
<div class="bar-row">
<div class="bar-label">Debugging</div>
<div class="bar-track"><div class="bar-fill" style="width:23.076923076923077%;background:#2563eb"></div></div>
<div class="bar-value">9</div>
</div>
<div class="bar-row">
<div class="bar-label">Documentation Update</div>
<div class="bar-track"><div class="bar-fill" style="width:15.384615384615385%;background:#2563eb"></div></div>
<div class="bar-value">6</div>
</div>
<div class="bar-row">
<div class="bar-label">Configuration Guidance</div>
<div class="bar-track"><div class="bar-fill" style="width:15.384615384615385%;background:#2563eb"></div></div>
<div class="bar-value">6</div>
</div>
</div>
<div class="chart-card">
<div class="chart-title">Top Tools Used</div>
<div class="bar-row">
<div class="bar-label">Bash</div>
<div class="bar-track"><div class="bar-fill" style="width:100%;background:#0891b2"></div></div>
<div class="bar-value">3768</div>
</div>
<div class="bar-row">
<div class="bar-label">Read</div>
<div class="bar-track"><div class="bar-fill" style="width:32.74946921443737%;background:#0891b2"></div></div>
<div class="bar-value">1234</div>
</div>
<div class="bar-row">
<div class="bar-label">Edit</div>
<div class="bar-track"><div class="bar-fill" style="width:25.159235668789808%;background:#0891b2"></div></div>
<div class="bar-value">948</div>
</div>
<div class="bar-row">
<div class="bar-label">Grep</div>
<div class="bar-track"><div class="bar-fill" style="width:9.129511677282377%;background:#0891b2"></div></div>
<div class="bar-value">344</div>
</div>
<div class="bar-row">
<div class="bar-label">Write</div>
<div class="bar-track"><div class="bar-fill" style="width:7.484076433121019%;background:#0891b2"></div></div>
<div class="bar-value">282</div>
</div>
<div class="bar-row">
<div class="bar-label">TaskUpdate</div>
<div class="bar-track"><div class="bar-fill" style="width:5.095541401273886%;background:#0891b2"></div></div>
<div class="bar-value">192</div>
</div>
</div>
</div>
<div class="charts-row">
<div class="chart-card">
<div class="chart-title">Languages</div>
<div class="bar-row">
<div class="bar-label">Python</div>
<div class="bar-track"><div class="bar-fill" style="width:100%;background:#10b981"></div></div>
<div class="bar-value">1155</div>
</div>
<div class="bar-row">
<div class="bar-label">Markdown</div>
<div class="bar-track"><div class="bar-fill" style="width:29.17748917748918%;background:#10b981"></div></div>
<div class="bar-value">337</div>
</div>
<div class="bar-row">
<div class="bar-label">TypeScript</div>
<div class="bar-track"><div class="bar-fill" style="width:28.484848484848484%;background:#10b981"></div></div>
<div class="bar-value">329</div>
</div>
<div class="bar-row">
<div class="bar-label">JSON</div>
<div class="bar-track"><div class="bar-fill" style="width:14.372294372294373%;background:#10b981"></div></div>
<div class="bar-value">166</div>
</div>
<div class="bar-row">
<div class="bar-label">YAML</div>
<div class="bar-track"><div class="bar-fill" style="width:10.129870129870131%;background:#10b981"></div></div>
<div class="bar-value">117</div>
</div>
<div class="bar-row">
<div class="bar-label">Shell</div>
<div class="bar-track"><div class="bar-fill" style="width:7.012987012987012%;background:#10b981"></div></div>
<div class="bar-value">81</div>
</div>
</div>
<div class="chart-card">
<div class="chart-title">Session Types</div>
<div class="bar-row">
<div class="bar-label">Iterative Refinement</div>
<div class="bar-track"><div class="bar-fill" style="width:100%;background:#8b5cf6"></div></div>
<div class="bar-value">22</div>
</div>
<div class="bar-row">
<div class="bar-label">Multi Task</div>
<div class="bar-track"><div class="bar-fill" style="width:68.18181818181817%;background:#8b5cf6"></div></div>
<div class="bar-value">15</div>
</div>
<div class="bar-row">
<div class="bar-label">Single Task</div>
<div class="bar-track"><div class="bar-fill" style="width:31.818181818181817%;background:#8b5cf6"></div></div>
<div class="bar-value">7</div>
</div>
<div class="bar-row">
<div class="bar-label">Quick Question</div>
<div class="bar-track"><div class="bar-fill" style="width:13.636363636363635%;background:#8b5cf6"></div></div>
<div class="bar-value">3</div>
</div>
<div class="bar-row">
<div class="bar-label">Exploration</div>
<div class="bar-track"><div class="bar-fill" style="width:4.545454545454546%;background:#8b5cf6"></div></div>
<div class="bar-value">1</div>
</div>
</div>
</div>
<h2 id="section-usage">How You Use Claude Code</h2>
<div class="narrative">
<p>You are a <strong>prolific, hands-on builder</strong> who uses Claude Code as a true development partner across an impressive breadth of work — from a baseball simulation app (Python/TypeScript) to homelab infrastructure (Pi-hole, Proxmox, UniFi, Docker CI) to personal productivity tools (capture apps, kanban boards). With 134 sessions and 135 commits in just two weeks, you maintain a <strong>relentless pace of iteration</strong>, often pushing through 8+ bug fix cycles in a single session rather than stopping to re-plan. Your dominant workflow is to give Claude a clear objective — often pulled from a backlog or Gitea issue — and then <strong>test immediately, catch failures, and redirect Claude in real-time</strong>. The uncapped hit decision UI session is a perfect example: you drove Claude through fixing deadlocks, serialization errors, stale UI state, and missing batter advancement logic one after another until all 531 tests passed and the feature was pushed. You don't write detailed upfront specs so much as you <strong>steer interactively through rapid feedback loops</strong>.</p>
<p>Your most distinctive trait is that you <strong>correct Claude firmly and specifically when it goes off track</strong>, and this happens often enough (29 &quot;wrong approach&quot; frictions) that it's clearly part of your expected workflow rather than a frustration. When Claude tried to change your default shell with `chsh`, you interrupted immediately. When it wrote raw Python test scripts instead of using your CLI tool, you corrected it. When it went down an API key rabbit hole instead of fixing a display bug, you pulled it back. You also enforce your preferred git workflows strictly — catching Claude when it tries to commit to protected branches or approve its own PRs. The <strong>heavy Bash usage (3,768 calls)</strong> and TaskCreate/TaskUpdate usage (290 combined) show you leverage Claude for orchestrating complex multi-step operations and delegate aggressively, trusting Claude to handle git operations (your #1 goal category at 39 sessions), multi-file refactors, and infrastructure automation while you maintain architectural control.</p>
<p>Despite the friction, your satisfaction is remarkably high — <strong>138 'likely satisfied' plus 43 'satisfied'</strong> against only 13 dissatisfied and 5 frustrated — suggesting you view the fix-redirect-retry cycle as normal cost of doing business. You get the most value from Claude on <strong>debugging (19 successes) and multi-file changes (13 successes)</strong>, and your sessions tend to be long and productive rather than quick one-offs. The 566 hours of compute across 134 sessions with a nearly 1:1 commit ratio tells the story: you treat Claude Code as a tireless pair programmer that you drive hard, course-correct often, and ship with constantly.</p>
<div class="key-insight"><strong>Key pattern:</strong> You are a rapid-iteration power user who delegates aggressively, tests immediately, and steers Claude through frequent real-time corrections to maintain a remarkably high commit velocity across both application development and infrastructure work.</div>
</div>
<!-- Response Time Distribution -->
<div class="chart-card" style="margin: 24px 0;">
<div class="chart-title">User Response Time Distribution</div>
<div class="bar-row">
<div class="bar-label">2-10s</div>
<div class="bar-track"><div class="bar-fill" style="width:33.482142857142854%;background:#6366f1"></div></div>
<div class="bar-value">75</div>
</div>
<div class="bar-row">
<div class="bar-label">10-30s</div>
<div class="bar-track"><div class="bar-fill" style="width:100%;background:#6366f1"></div></div>
<div class="bar-value">224</div>
</div>
<div class="bar-row">
<div class="bar-label">30s-1m</div>
<div class="bar-track"><div class="bar-fill" style="width:74.55357142857143%;background:#6366f1"></div></div>
<div class="bar-value">167</div>
</div>
<div class="bar-row">
<div class="bar-label">1-2m</div>
<div class="bar-track"><div class="bar-fill" style="width:86.16071428571429%;background:#6366f1"></div></div>
<div class="bar-value">193</div>
</div>
<div class="bar-row">
<div class="bar-label">2-5m</div>
<div class="bar-track"><div class="bar-fill" style="width:70.98214285714286%;background:#6366f1"></div></div>
<div class="bar-value">159</div>
</div>
<div class="bar-row">
<div class="bar-label">5-15m</div>
<div class="bar-track"><div class="bar-fill" style="width:45.535714285714285%;background:#6366f1"></div></div>
<div class="bar-value">102</div>
</div>
<div class="bar-row">
<div class="bar-label">>15m</div>
<div class="bar-track"><div class="bar-fill" style="width:31.69642857142857%;background:#6366f1"></div></div>
<div class="bar-value">71</div>
</div>
<div style="font-size: 12px; color: #64748b; margin-top: 8px;">
Median: 67.3s &bull; Average: 246.9s
</div>
</div>
<!-- Multi-clauding Section (matching Python reference) -->
<div class="chart-card" style="margin: 24px 0;">
<div class="chart-title">Multi-Clauding (Parallel Sessions)</div>
<div style="display: flex; gap: 24px; margin: 12px 0;">
<div style="text-align: center;">
<div style="font-size: 24px; font-weight: 700; color: #7c3aed;">48</div>
<div style="font-size: 11px; color: #64748b; text-transform: uppercase;">Overlap Events</div>
</div>
<div style="text-align: center;">
<div style="font-size: 24px; font-weight: 700; color: #7c3aed;">61</div>
<div style="font-size: 11px; color: #64748b; text-transform: uppercase;">Sessions Involved</div>
</div>
<div style="text-align: center;">
<div style="font-size: 24px; font-weight: 700; color: #7c3aed;">16%</div>
<div style="font-size: 11px; color: #64748b; text-transform: uppercase;">Of Messages</div>
</div>
</div>
<p style="font-size: 13px; color: #475569; margin-top: 12px;">
You run multiple Claude Code sessions simultaneously. Multi-clauding is detected when sessions
overlap in time, suggesting parallel workflows.
</p>
</div>
<!-- Time of Day & Tool Errors -->
<div class="charts-row">
<div class="chart-card">
<div class="chart-title" style="display: flex; align-items: center; gap: 12px;">
User Messages by Time of Day
<select id="timezone-select" style="font-size: 12px; padding: 4px 8px; border-radius: 4px; border: 1px solid #e2e8f0;">
<option value="0">PT (UTC-8)</option>
<option value="3">ET (UTC-5)</option>
<option value="8">London (UTC)</option>
<option value="9">CET (UTC+1)</option>
<option value="17">Tokyo (UTC+9)</option>
<option value="custom">Custom offset...</option>
</select>
<input type="number" id="custom-offset" placeholder="UTC offset" style="display: none; width: 80px; font-size: 12px; padding: 4px; border-radius: 4px; border: 1px solid #e2e8f0;">
</div>
<div id="hour-histogram">
<div class="bar-row">
<div class="bar-label">Morning (6-12)</div>
<div class="bar-track"><div class="bar-fill" style="width:73.22097378277154%;background:#8b5cf6"></div></div>
<div class="bar-value">391</div>
</div>
<div class="bar-row">
<div class="bar-label">Afternoon (12-18)</div>
<div class="bar-track"><div class="bar-fill" style="width:100%;background:#8b5cf6"></div></div>
<div class="bar-value">534</div>
</div>
<div class="bar-row">
<div class="bar-label">Evening (18-24)</div>
<div class="bar-track"><div class="bar-fill" style="width:80.89887640449437%;background:#8b5cf6"></div></div>
<div class="bar-value">432</div>
</div>
<div class="bar-row">
<div class="bar-label">Night (0-6)</div>
<div class="bar-track"><div class="bar-fill" style="width:18.726591760299627%;background:#8b5cf6"></div></div>
<div class="bar-value">100</div>
</div></div>
</div>
<div class="chart-card">
<div class="chart-title">Tool Errors Encountered</div>
<div class="bar-row">
<div class="bar-label">Command Failed</div>
<div class="bar-track"><div class="bar-fill" style="width:100%;background:#dc2626"></div></div>
<div class="bar-value">409</div>
</div>
<div class="bar-row">
<div class="bar-label">Other</div>
<div class="bar-track"><div class="bar-fill" style="width:31.784841075794624%;background:#dc2626"></div></div>
<div class="bar-value">130</div>
</div>
<div class="bar-row">
<div class="bar-label">User Rejected</div>
<div class="bar-track"><div class="bar-fill" style="width:14.66992665036675%;background:#dc2626"></div></div>
<div class="bar-value">60</div>
</div>
<div class="bar-row">
<div class="bar-label">File Not Found</div>
<div class="bar-track"><div class="bar-fill" style="width:2.93398533007335%;background:#dc2626"></div></div>
<div class="bar-value">12</div>
</div>
<div class="bar-row">
<div class="bar-label">Edit Failed</div>
<div class="bar-track"><div class="bar-fill" style="width:1.7114914425427872%;background:#dc2626"></div></div>
<div class="bar-value">7</div>
</div>
<div class="bar-row">
<div class="bar-label">File Too Large</div>
<div class="bar-track"><div class="bar-fill" style="width:1.2224938875305624%;background:#dc2626"></div></div>
<div class="bar-value">5</div>
</div>
</div>
</div>
<h2 id="section-wins">Impressive Things You Did</h2>
<p class="section-intro">Over the past two weeks, you've been incredibly productive across 134 sessions spanning a baseball simulation app, homelab infrastructure, and several utility projects — with a remarkably high satisfaction and goal completion rate.</p>
<div class="big-wins">
<div class="big-win">
<div class="big-win-title">Systematic Bug Hunting Through Iteration</div>
<div class="big-win-desc">You have a highly effective pattern of using Claude to chase down complex, multi-layered bugs — like the uncapped hit decision UI where 8+ issues (deadlocks, serialization failures, state management, UI freezes) were identified and squashed in a single session. Your willingness to iterate through fix-test-retry cycles, combined with Claude's debugging capabilities, consistently leads to fully resolved issues with all tests passing and clean commits pushed.</div>
</div>
<div class="big-win">
<div class="big-win-title">Full-Stack Homelab Infrastructure Management</div>
<div class="big-win-desc">You're leveraging Claude as a true infrastructure partner — from diagnosing Docker build caching in Gitea CI and switching to registry-based caching, to setting up Uptime Kuma with 20 service monitors, running Proxmox migration prep, and troubleshooting DNS/firewall/Pi-hole issues across your UniFi network. You treat these sessions with the same rigor as code work, driving toward committed, documented, and deployed outcomes rather than just getting answers.</div>
</div>
<div class="big-win">
<div class="big-win-title">Multi-Task Orchestration With Clear Direction</div>
<div class="big-win-desc">You excel at loading Claude up with well-scoped batches of work — like the session where you directed ~9 tasks across skill documentation refactoring, API auth fixes, CLI bug fixes, and docs updates, all completed successfully. Your ability to pick from a backlog, create tracking issues, drive implementation, run tests, and push PRs in cohesive sessions shows a mature workflow that treats Claude as a disciplined team member rather than just a code generator.</div>
</div>
</div>
<div class="charts-row">
<div class="chart-card">
<div class="chart-title">What Helped Most (Claude's Capabilities)</div>
<div class="bar-row">
<div class="bar-label">Good Debugging</div>
<div class="bar-track"><div class="bar-fill" style="width:100%;background:#16a34a"></div></div>
<div class="bar-value">19</div>
</div>
<div class="bar-row">
<div class="bar-label">Multi-file Changes</div>
<div class="bar-track"><div class="bar-fill" style="width:68.42105263157895%;background:#16a34a"></div></div>
<div class="bar-value">13</div>
</div>
<div class="bar-row">
<div class="bar-label">Proactive Help</div>
<div class="bar-track"><div class="bar-fill" style="width:26.31578947368421%;background:#16a34a"></div></div>
<div class="bar-value">5</div>
</div>
<div class="bar-row">
<div class="bar-label">Good Explanations</div>
<div class="bar-track"><div class="bar-fill" style="width:26.31578947368421%;background:#16a34a"></div></div>
<div class="bar-value">5</div>
</div>
<div class="bar-row">
<div class="bar-label">Correct Code Edits</div>
<div class="bar-track"><div class="bar-fill" style="width:21.052631578947366%;background:#16a34a"></div></div>
<div class="bar-value">4</div>
</div>
<div class="bar-row">
<div class="bar-label">Fast/Accurate Search</div>
<div class="bar-track"><div class="bar-fill" style="width:10.526315789473683%;background:#16a34a"></div></div>
<div class="bar-value">2</div>
</div>
</div>
<div class="chart-card">
<div class="chart-title">Outcomes</div>
<div class="bar-row">
<div class="bar-label">Partially Achieved</div>
<div class="bar-track"><div class="bar-fill" style="width:16.129032258064516%;background:#8b5cf6"></div></div>
<div class="bar-value">5</div>
</div>
<div class="bar-row">
<div class="bar-label">Mostly Achieved</div>
<div class="bar-track"><div class="bar-fill" style="width:38.70967741935484%;background:#8b5cf6"></div></div>
<div class="bar-value">12</div>
</div>
<div class="bar-row">
<div class="bar-label">Fully Achieved</div>
<div class="bar-track"><div class="bar-fill" style="width:100%;background:#8b5cf6"></div></div>
<div class="bar-value">31</div>
</div>
</div>
</div>
<h2 id="section-friction">Where Things Go Wrong</h2>
<p class="section-intro">Your sessions frequently suffer from Claude pursuing wrong approaches and producing buggy code that requires multiple fix-test-retry cycles, particularly during complex feature implementations and infrastructure tasks.</p>
<div class="friction-categories">
<div class="friction-category">
<div class="friction-title">Wrong Approach Leading to Wasted Cycles</div>
<div class="friction-desc">Claude frequently goes down incorrect paths—misidentifying root causes, using wrong tools, or attempting disallowed operations—forcing you to intervene and correct course. You could reduce this by front-loading constraints in your prompts (e.g., 'do NOT change my default shell,' 'always use PR workflow, never commit to main,' 'use the existing CLI tool, not raw scripts').</div>
<ul class="friction-examples"><li>Claude went down an API key rabbit hole instead of focusing on your actual display corruption issue, then added an unnecessary API key check that broke sync entirely—wasting significant debugging time on a misdiagnosed cause.</li><li>Claude attempted to change your default shell with chsh when you only asked to test zsh, and in another session tried to commit directly to a protected main branch instead of creating a PR—both requiring you to interrupt and correct basic workflow assumptions.</li></ul>
</div>
<div class="friction-category">
<div class="friction-title">Cascading Bugs During Feature Implementation</div>
<div class="friction-desc">Complex feature work repeatedly produces chains of bugs (deadlocks, serialization failures, missing arguments, stale state) that each require a fix-test-retry cycle, significantly inflating session length. Consider breaking large features into smaller, independently testable increments and asking Claude to run tests after each discrete change rather than building everything at once.</div>
<ul class="friction-examples"><li>The uncapped hit decision UI feature surfaced 8+ sequential bugs—deadlocks, premature state clearing, D20Roll serialization failures, UI freezes, and missing batter advancement logic—each discovered only after the previous fix, turning a single feature into an extended debugging marathon.</li><li>Shell escaping issues caused API calls to consistently fail on first attempts, and duplicate Gitea issues were created requiring manual cleanup, compounding what should have been a straightforward planning and issue-creation task.</li></ul>
</div>
<div class="friction-category">
<div class="friction-title">Planning Sessions That Don't Reach Implementation</div>
<div class="friction-desc">Multiple sessions end with detailed plans or design explorations but zero actual code written, consuming your time without tangible output. You could mitigate this by explicitly stating 'skip the plan, start implementing' or setting a time-box for planning before requiring Claude to begin coding.</div>
<ul class="friction-examples"><li>You asked Claude to work on the uncapped hit decision UI from the backlog, and Claude thoroughly explored the codebase and created a detailed implementation plan but produced no actual feature code within the entire session.</li><li>A voice/text memory capture app session ended with Claude having produced a detailed design plan but no implementation, and separately a defensive setup component session ended with HTML mockups and design options selected but no code written.</li></ul>
</div>
</div>
<div class="charts-row">
<div class="chart-card">
<div class="chart-title">Primary Friction Types</div>
<div class="bar-row">
<div class="bar-label">Wrong Approach</div>
<div class="bar-track"><div class="bar-fill" style="width:100%;background:#dc2626"></div></div>
<div class="bar-value">29</div>
</div>
<div class="bar-row">
<div class="bar-label">Buggy Code</div>
<div class="bar-track"><div class="bar-fill" style="width:86.20689655172413%;background:#dc2626"></div></div>
<div class="bar-value">25</div>
</div>
<div class="bar-row">
<div class="bar-label">Excessive Changes</div>
<div class="bar-track"><div class="bar-fill" style="width:17.24137931034483%;background:#dc2626"></div></div>
<div class="bar-value">5</div>
</div>
<div class="bar-row">
<div class="bar-label">Misunderstood Request</div>
<div class="bar-track"><div class="bar-fill" style="width:13.793103448275861%;background:#dc2626"></div></div>
<div class="bar-value">4</div>
</div>
<div class="bar-row">
<div class="bar-label">User Rejected Action</div>
<div class="bar-track"><div class="bar-fill" style="width:6.896551724137931%;background:#dc2626"></div></div>
<div class="bar-value">2</div>
</div>
<div class="bar-row">
<div class="bar-label">Environment Issues</div>
<div class="bar-track"><div class="bar-fill" style="width:3.4482758620689653%;background:#dc2626"></div></div>
<div class="bar-value">1</div>
</div>
</div>
<div class="chart-card">
<div class="chart-title">Inferred Satisfaction (model-estimated)</div>
<div class="bar-row">
<div class="bar-label">Frustrated</div>
<div class="bar-track"><div class="bar-fill" style="width:3.6231884057971016%;background:#eab308"></div></div>
<div class="bar-value">5</div>
</div>
<div class="bar-row">
<div class="bar-label">Dissatisfied</div>
<div class="bar-track"><div class="bar-fill" style="width:9.420289855072465%;background:#eab308"></div></div>
<div class="bar-value">13</div>
</div>
<div class="bar-row">
<div class="bar-label">Likely Satisfied</div>
<div class="bar-track"><div class="bar-fill" style="width:100%;background:#eab308"></div></div>
<div class="bar-value">138</div>
</div>
<div class="bar-row">
<div class="bar-label">Satisfied</div>
<div class="bar-track"><div class="bar-fill" style="width:31.15942028985507%;background:#eab308"></div></div>
<div class="bar-value">43</div>
</div>
<div class="bar-row">
<div class="bar-label">Happy</div>
<div class="bar-track"><div class="bar-fill" style="width:6.521739130434782%;background:#eab308"></div></div>
<div class="bar-value">9</div>
</div>
</div>
</div>
<h2 id="section-features">Existing CC Features to Try</h2>
<div class="claude-md-section">
<h3>Suggested CLAUDE.md Additions</h3>
<p style="font-size: 12px; color: #64748b; margin-bottom: 12px;">Just copy this into Claude Code to add it to your CLAUDE.md.</p>
<div class="claude-md-actions">
<button class="copy-all-btn" onclick="copyAllCheckedClaudeMd()">Copy All Checked</button>
</div>
<div class="claude-md-item">
<input type="checkbox" id="cmd-0" class="cmd-checkbox" checked data-text="Add under a ## Git Workflow section at the top level of CLAUDE.md\n\nWhen working with git, always create feature/bugfix branches and open PRs. Never commit directly to the main/protected branch.">
<label for="cmd-0">
<code class="cmd-code">When working with git, always create feature/bugfix branches and open PRs. Never commit directly to the main/protected branch.</code>
<button class="copy-btn" onclick="copyCmdItem(0)">Copy</button>
</label>
<div class="cmd-why">Multiple sessions show Claude attempting to commit directly to protected branches or approve its own PRs, requiring user correction and workflow restarts.</div>
</div>
<div class="claude-md-item">
<input type="checkbox" id="cmd-1" class="cmd-checkbox" checked data-text="Add under a ## Development Practices section in CLAUDE.md\n\nAlways use existing project CLI tools, test frameworks, and scripts before writing custom one-off scripts. Check for Makefiles, CLI entry points, and existing test infrastructure first.">
<label for="cmd-1">
<code class="cmd-code">Always use existing project CLI tools, test frameworks, and scripts before writing custom one-off scripts. Check for Makefiles, CLI entry points, and existing test infrastructure first.</code>
<button class="copy-btn" onclick="copyCmdItem(1)">Copy</button>
</label>
<div class="cmd-why">Claude repeatedly wrote raw Python scripts or created unwanted Makefiles instead of using the project's existing CLI tools and test runners, which the user had to correct.</div>
</div>
<div class="claude-md-item">
<input type="checkbox" id="cmd-2" class="cmd-checkbox" checked data-text="Add under a ## Debugging Guidelines section in CLAUDE.md\n\nWhen debugging, stay focused on the reported symptom. Do not investigate tangential issues (e.g., API keys, unrelated services) unless there is direct evidence they are related. Ask before pivoting to a different root cause hypothesis.">
<label for="cmd-2">
<code class="cmd-code">When debugging, stay focused on the reported symptom. Do not investigate tangential issues (e.g., API keys, unrelated services) unless there is direct evidence they are related. Ask before pivoting to a different root cause hypothesis.</code>
<button class="copy-btn" onclick="copyCmdItem(2)">Copy</button>
</label>
<div class="cmd-why">Friction data shows Claude going down rabbit holes (API key investigations, checking wrong services, wrong repos) instead of focusing on the user's actual reported problem, causing frustration.</div>
</div>
<div class="claude-md-item">
<input type="checkbox" id="cmd-3" class="cmd-checkbox" checked data-text="Add under a ## Infrastructure Context section in CLAUDE.md\n\nFor homelab infrastructure: SSH aliases are configured — always use them (e.g., `ssh pihole1`, `ssh proxmox`) rather than raw IPs. Pi-hole is v6. Git remotes include both GitHub and a homelab Gitea server.">
<label for="cmd-3">
<code class="cmd-code">For homelab infrastructure: SSH aliases are configured — always use them (e.g., `ssh pihole1`, `ssh proxmox`) rather than raw IPs. Pi-hole is v6. Git remotes include both GitHub and a homelab Gitea server.</code>
<button class="copy-btn" onclick="copyCmdItem(3)">Copy</button>
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<div class="cmd-why">Claude was scolded for not using SSH aliases and struggled with Pi-hole v6 automation and Gitea repo names, indicating it needs persistent context about the homelab environment.</div>
</div>
<div class="claude-md-item">
<input type="checkbox" id="cmd-4" class="cmd-checkbox" checked data-text="Add under a ## Safety / Boundaries section in CLAUDE.md\n\nDo not make system-level changes (changing default shell, modifying system configs) without explicit user approval. When the user asks to 'try' or 'test' something, keep changes reversible and scoped.">
<label for="cmd-4">
<code class="cmd-code">Do not make system-level changes (changing default shell, modifying system configs) without explicit user approval. When the user asks to 'try' or 'test' something, keep changes reversible and scoped.</code>
<button class="copy-btn" onclick="copyCmdItem(4)">Copy</button>
</label>
<div class="cmd-why">Claude attempted to change the default shell with chsh when the user only wanted to test zsh, requiring an interrupt — this pattern of overstepping on system changes appeared multiple times.</div>
</div>
</div>
<p style="font-size: 13px; color: #64748b; margin-bottom: 12px;">Just copy this into Claude Code and it'll set it up for you.</p>
<div class="features-section">
<div class="feature-card">
<div class="feature-title">Custom Skills</div>
<div class="feature-oneliner">Reusable prompt workflows triggered by a single /command</div>
<div class="feature-why"><strong>Why for you:</strong> Git operations are your #1 goal (39 sessions!) and you already created a /backlog skill. You should formalize your repeated workflows — branching, testing, PR creation, and merge — into skills so Claude never commits to main or skips the PR step again.</div>
<div class="feature-examples">
<div class="feature-example">
<div class="example-code-row">
<code class="example-code">mkdir -p .claude/skills/pr &amp;&amp; cat &gt; .claude/skills/pr/SKILL.md &lt;&lt; 'EOF'
# Create PR Workflow
1. Ensure all changes are on a feature branch (never main)
2. Run the full test suite and confirm all tests pass
3. Commit with a conventional commit message
4. Push to both origin and homelab remotes
5. Create a PR on Gitea targeting main
6. Do NOT attempt to approve or merge the PR
EOF</code>
<button class="copy-btn" onclick="copyText(this)">Copy</button>
</div>
</div>
</div>
</div>
<div class="feature-card">
<div class="feature-title">Hooks</div>
<div class="feature-oneliner">Auto-run shell commands at lifecycle events like pre-commit or post-edit</div>
<div class="feature-why"><strong>Why for you:</strong> You have 531+ tests across your projects and 25 buggy_code friction events. A hook that auto-runs tests after edits to critical files would catch regressions before they compound into multi-round fix-test-retry cycles that dominate your sessions.</div>
<div class="feature-examples">
<div class="feature-example">
<div class="example-code-row">
<code class="example-code"># Add to .claude/settings.json
{
&quot;hooks&quot;: {
&quot;postToolUse&quot;: [
{
&quot;matcher&quot;: &quot;Edit|Write&quot;,
&quot;command&quot;: &quot;python -m pytest tests/ -x -q --tb=short 2&gt;&amp;1 | tail -5&quot;
}
]
}
}</code>
<button class="copy-btn" onclick="copyText(this)">Copy</button>
</div>
</div>
</div>
</div>
<div class="feature-card">
<div class="feature-title">Headless Mode</div>
<div class="feature-oneliner">Run Claude non-interactively from scripts and CI/CD pipelines</div>
<div class="feature-why"><strong>Why for you:</strong> You already work with Gitea CI workflows and Docker builds. You could automate repetitive tasks like lint fixes, test runs, and documentation updates in your CI pipeline instead of doing them interactively — especially for the multi-repo workflow updates you did across four repos.</div>
<div class="feature-examples">
<div class="feature-example">
<div class="example-code-row">
<code class="example-code"># In your Gitea CI workflow (.gitea/workflows/claude-review.yaml):
- name: Auto-fix lint errors
run: claude -p &quot;Fix all lint errors in this repo. Run the linter after fixes to confirm.&quot; --allowedTools &quot;Edit,Read,Bash,Grep&quot;</code>
<button class="copy-btn" onclick="copyText(this)">Copy</button>
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</div>
</div>
</div>
</div>
<h2 id="section-patterns">New Ways to Use Claude Code</h2>
<p style="font-size: 13px; color: #64748b; margin-bottom: 12px;">Just copy this into Claude Code and it'll walk you through it.</p>
<div class="patterns-section">
<div class="pattern-card">
<div class="pattern-title">Planning sessions that produce no code</div>
<div class="pattern-summary">Constrain planning sessions with explicit deliverables to avoid plan-only outcomes.</div>
<div class="pattern-detail">At least 4-5 sessions ended with only a plan or design document and no actual implementation code. Claude tends to over-explore and get stuck in plan/exit-plan cycles, especially for larger features like the uncapped hit decision UI and the voice capture app. Setting an explicit constraint like 'spend no more than 10 minutes planning, then start implementing the highest-priority piece' would convert these sessions into productive ones.</div>
<div class="copyable-prompt-section">
<div class="prompt-label">Paste into Claude Code:</div>
<div class="copyable-prompt-row">
<code class="copyable-prompt">Review the backlog, pick the top item, spend 5 minutes reading relevant code, then immediately start implementing. No design docs — just working code with tests. If you need a decision from me, ask and keep going on other parts.</code>
<button class="copy-btn" onclick="copyText(this)">Copy</button>
</div>
</div>
</div>
<div class="pattern-card">
<div class="pattern-title">Multi-bug debugging marathons need checkpointing</div>
<div class="pattern-summary">Commit and push working state after each individual bug fix instead of batching at the end.</div>
<div class="pattern-detail">Your most productive sessions (uncapped hit UI, play_resolver review) involved 8+ sequential bug fixes. When these are batched into one commit, a single failure late in the chain can jeopardize all progress. The friction data shows deadlocks, serialization failures, and state issues compounding. Asking Claude to commit after each verified fix creates save points and cleaner git history.</div>
<div class="copyable-prompt-section">
<div class="prompt-label">Paste into Claude Code:</div>
<div class="copyable-prompt-row">
<code class="copyable-prompt">Fix the reported bug, write a test for it, run the full test suite, and if green, commit with a descriptive message immediately. Then move to the next bug. Do not batch fixes.</code>
<button class="copy-btn" onclick="copyText(this)">Copy</button>
</div>
</div>
</div>
<div class="pattern-card">
<div class="pattern-title">Wrong-approach friction is your biggest time sink</div>
<div class="pattern-summary">Ask Claude to propose 2-3 approaches before starting implementation on complex tasks.</div>
<div class="pattern-detail">Your top friction category is 'wrong_approach' at 29 occurrences — higher even than buggy code. This includes checking wrong repos, investigating wrong services, writing custom scripts instead of using existing tools, and creating unwanted Makefiles. Requiring Claude to briefly outline its approach before executing would let you catch these misalignments in seconds rather than minutes. This is especially important for your homelab and infrastructure work where Claude lacks environmental context.</div>
<div class="copyable-prompt-section">
<div class="prompt-label">Paste into Claude Code:</div>
<div class="copyable-prompt-row">
<code class="copyable-prompt">Before making any changes, briefly tell me: (1) which files/services you plan to touch, (2) what tools/commands you'll use, and (3) your approach in 2 sentences. Wait for my approval before proceeding.</code>
<button class="copy-btn" onclick="copyText(this)">Copy</button>
</div>
</div>
</div>
</div>
<h2 id="section-horizon">On the Horizon</h2>
<p class="section-intro">Your 134 sessions reveal a power user driving complex full-stack development, homelab infrastructure, and iterative UI work — with clear opportunities to let Claude agents operate more autonomously against your established test suites and CI pipelines.</p>
<div class="horizon-section">
<div class="horizon-card">
<div class="horizon-title">Autonomous Bug-Fix Agents Against Test Suites</div>
<div class="horizon-possible">With 2,401+ tests already in place and 'bug_fix' as your second most common goal, Claude can autonomously pick up Gitea issues, reproduce failures against your test suite, iterate on fixes until all tests pass, and open PRs — all without your intervention. Imagine waking up to find three bug-fix PRs ready for review, each with passing CI and a clear explanation of root cause, eliminating the painful fix-test-retry cycles that caused 25 instances of buggy code friction.</div>
<div class="horizon-tip"><strong>Getting started:</strong> Use Claude Code with the TaskCreate/TaskUpdate tools you're already using (290 combined calls) to orchestrate a headless agent loop that pulls issues from your Gitea backlog, runs tests iteratively, and pushes PR branches to your homelab remote.</div>
<div class="pattern-prompt"><div class="prompt-label">Paste into Claude Code:</div><code>Read our Gitea backlog at [GITEA_URL]/issues?type=bug&amp;state=open. For each open bug: 1) Create a feature branch from main, 2) Read the issue description and reproduce the bug by running `python -m pytest` to find failing tests, 3) Investigate the root cause using Grep and Read across the codebase, 4) Implement the fix with minimal changes, 5) Run the full test suite and iterate until ALL tests pass, 6) Commit with a message referencing the issue number, 7) Push to homelab remote and create a PR with a root-cause summary. Do NOT merge — leave PRs for my review. If you can't reproduce or fix within 3 attempts, document what you found in a PR comment and move to the next issue.</code><button class="copy-btn" onclick="copyText(this)">Copy</button></div>
</div>
<div class="horizon-card">
<div class="horizon-title">Parallel Agents for Multi-Repo CI/Infra Changes</div>
<div class="horizon-possible">Your Docker caching fix session showed you updating four repo workflows in one sitting, and your refactoring sessions routinely touch 9+ tasks across files. Instead of sequential changes, parallel Claude agents can each take ownership of one repo or service — simultaneously updating CI templates, running validation, and opening PRs across your entire homelab infrastructure. This eliminates the pattern of Claude looking at wrong repo names or wrong services, since each agent has a focused scope.</div>
<div class="horizon-tip"><strong>Getting started:</strong> Use Claude Code's task orchestration (TaskCreate) to spawn parallel sub-agents, each scoped to a single repository or service. Combine with your existing Gitea API integration for automated PR creation across repos.</div>
<div class="pattern-prompt"><div class="prompt-label">Paste into Claude Code:</div><code>I need to apply the following change across all my service repositories: [DESCRIBE CHANGE - e.g., update Python base image to 3.12, add health check endpoint, standardize logging format]. Here are my repos: [LIST REPOS]. For each repo, spawn a separate task that: 1) Clones/reads the repo structure, 2) Identifies the relevant files to change, 3) Makes the changes while respecting each repo's existing patterns, 4) Runs any existing tests or linting (check for Makefile, pytest, pre-commit hooks), 5) Creates a branch named 'chore/[description]' and pushes it, 6) Opens a PR with a summary of changes. Work on repos in parallel where possible. Report back a summary table showing: repo name, files changed, tests passed/failed, PR URL.</code><button class="copy-btn" onclick="copyText(this)">Copy</button></div>
</div>
<div class="horizon-card">
<div class="horizon-title">Self-Healing Homelab Monitoring and Remediation</div>
<div class="horizon-possible">You spent significant sessions on DNS troubleshooting, 502 errors, Pi-hole configuration, VLAN issues, and Uptime Kuma setup — reactive firefighting that consumed hours. Claude can act as an autonomous SRE agent that monitors your Uptime Kuma alerts, diagnoses issues by SSH-ing into your homelab nodes, cross-references your Pi-hole and NPM configurations, and either auto-remediates known patterns (like the IPv6 DNS override fix) or creates a detailed incident report with a proposed fix for your approval.</div>
<div class="horizon-tip"><strong>Getting started:</strong> Combine Claude Code's Bash tool with your existing SSH aliases and Uptime Kuma API to build a diagnostic runbook agent. Start with read-only diagnostics before enabling auto-remediation on safe operations.</div>
<div class="pattern-prompt"><div class="prompt-label">Paste into Claude Code:</div><code>Act as an SRE agent for my homelab. Connect via SSH to my infrastructure and perform a health check: 1) Query Uptime Kuma API at [URL] for any monitors in DOWN state, 2) For each down service, SSH to the relevant host and check: container status (docker ps), recent logs (docker logs --tail 50), DNS resolution (dig [service domain] @[pihole-ip]), reverse proxy config (check NPM API or config), disk space and memory usage, 3) Cross-reference against my known issues: Pi-hole IPv6 overrides needed, NPM access lists blocking external users, Docker container restart policies, 4) For each issue found, classify as: AUTO_FIX (safe to remediate now — e.g., docker restart, DNS cache flush) or NEEDS_APPROVAL (requires my review — e.g., config changes, firewall rules), 5) Execute AUTO_FIX items and report what you did, 6) For NEEDS_APPROVAL items, provide the exact commands you'd run and why. Output a structured incident report with findings, actions taken, and pending items.</code><button class="copy-btn" onclick="copyText(this)">Copy</button></div>
</div>
</div>
<div class="fun-ending">
<div class="fun-headline">"Claude tried to approve its own pull request and got rejected by branch protection rules"</div>
<div class="fun-detail">During a session fixing a double play bug, Claude submitted the code fix, created a PR on Gitea, then attempted to approve its own PR via the API — only to be blocked by branch protection rules that (reasonably) don't allow the author to approve their own merge request. The user had to step in and merge it manually.</div>
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