e02eb28e98
Plugin:skill pairs now read as noun:verb commands instead of repeating the plugin name. Also added concise descriptions to all SKILL.md frontmatter. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
76 lines
2.7 KiB
Markdown
76 lines
2.7 KiB
Markdown
# Resume Tailoring - Usage Examples
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## Example 1: Internal Role (Same Company)
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```
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USER: "I want to apply for Principal PM role in 1ES team at Microsoft. Here's the JD: {paste}"
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WORKFLOW:
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1. Library Build: Finds 29 resumes
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2. Research: Microsoft 1ES team, internal culture, role benchmarking
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3. Template: Features PM2 Azure Eng Systems role (most relevant)
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4. Discovery: Surfaces VS Code extension, Bhavana AI side project
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5. Assembly: 92% JD coverage, 75% direct matches
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6. Generate: MD + DOCX + Report
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7. User approves → Library updated with 6 discovered experiences
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RESULT: Highly competitive internal application
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```
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## Example 2: Career Transition (Different Domain)
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```
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USER: "I'm a TPM trying to transition to ecology PM role. JD: {paste}"
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WORKFLOW:
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1. Library Build: Finds existing TPM resumes
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2. Research: Ecology sector, sustainability focus, cross-domain transfers
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3. Template: Reframes "Technical Program Manager" → "Program Manager, Environmental Systems"
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4. Discovery: Surfaces volunteer conservation work, grad research in environmental modeling
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5. Assembly: 65% JD coverage - flags gaps in domain-specific knowledge
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6. Generate: Resume + gap analysis with cover letter recommendations
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RESULT: Bridges technical skills with environmental domain
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```
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## Example 3: Career Gap Handling
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```
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USER: "I have a 2-year gap while starting a company. JD: {paste}"
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WORKFLOW:
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1. Library Build: Finds pre-gap resumes
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2. Template: Includes startup as legitimate role
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3. Discovery: Surfaces skills developed during startup (fundraising, product dev, team building)
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4. Assembly: Frames gap as entrepreneurial experience
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RESULT: Gap becomes strength showing initiative and diverse skills
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```
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## Example 4: Multi-Job Batch (3 Similar Roles)
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```
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USER: "I want to apply for these 3 TPM roles:
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1. Microsoft 1ES Principal PM
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2. Google Cloud Senior TPM
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3. AWS Container Services Senior PM"
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WORKFLOW:
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1. Multi-job detection triggered (3 JDs)
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2. Library Build once, Gap Analysis deduplicates across all 3
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3. Shared Discovery: 30 min session surfaces 5 new experiences
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4. Per-Job Processing:
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- Microsoft: 85% coverage, emphasizes Azure/1ES alignment
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- Google: 88% coverage, emphasizes technical depth
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- AWS: 78% coverage, addresses AWS gap in cover letter recs
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5. Batch finalization: All 3 reviewed and approved
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RESULT: 3 high-quality resumes in 40 min vs 45 min sequential
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```
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## Example 5: Incremental Batch Addition
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```
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WEEK 1: Process 3 jobs (Microsoft, Google, AWS) → 40 min
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WEEK 2: "Add Stripe and Meta to my batch"
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- Load existing batch with 5 previously discovered experiences
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- Only 3 new gaps (vs 14 original)
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- 10-minute incremental discovery
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- 2 additional resumes in 20 min (vs 30 min from scratch)
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```
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