Cal Corum 51fe634ff5 refactor: convert 5 more skills to commands, update transcriber defaults

Convert backlog, project-plan, save-doc, youtube-transcriber, and
z-image from skills/ to commands/ so they appear as user-invocable
slash commands with plugin name prefixes.

Update youtube-transcriber: switch default model from gpt-4o-transcribe
to gpt-4o-mini-transcribe (OpenAI's current recommendation, half cost)
and fix cost estimates that were 4-7x too high.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

2026-03-19 14:41:37 -05:00

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description	allowed-tools
Generate images from text prompts using local GPU inference	Bash(z-image:*)

Z-Image - Local AI Image Generation

Tool

Binary: z-image (in PATH via ~/bin/z-image) Script: ~/.claude/skills/z-image/generate.py Model: Tongyi-MAI/Z-Image-Turbo (diffusers, bfloat16, CUDA) venv: ~/.claude/skills/z-image/.venv/

Usage

# Basic generation
z-image "a cat sitting on a cloud"

# Custom output filename
z-image "sunset over mountains" -o sunset.png

# Custom output directory
z-image "forest path" -d ~/Pictures/ai-generated/

# More inference steps (higher quality, slower)
z-image "detailed portrait" -s 20

# Disable CPU offloading (faster if VRAM allows)
z-image "quick sketch" --no-offload

Defaults

Steps: 9 (fast turbo mode)
Guidance scale: 0.0 (turbo model doesn't need guidance)
Output: zimage_TIMESTAMP_PROMPT.png in current directory
VRAM: Uses CPU offloading by default to reduce VRAM usage

Notes

First run downloads the model (~several GB)
Requires NVIDIA GPU with CUDA support
Output is always PNG format
After generating, use the Read tool to show the image to the user

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