Skill Generator (Meta-Skill)

This skill creates other skills.

When to Use

•User repeats similar instructions 2+ times in conversation
•User says "remember this", "save this workflow", "create a skill"
•You notice a pattern that should be automated
•User provides detailed methodology that should be reusable

Detection Patterns

Track these signals:

•Repetition: Same request type appears multiple times
•Detailed Instructions: User explains step-by-step how to do something
•Explicit Request: "Make this a skill", "Remember this process"
•API/Documentation Lookups: User asks for current docs repeatedly

Auto-Generation Process

Step 1: Detect Pattern

After conversation where user explains methodology:

bash

# Record the pattern
./skill-learner record \
  "User's request description" \
  "User's detailed instructions on how they want it done"

Step 2: Acknowledge to User

code

🎓 I notice you've explained this workflow [N] times.
I'm tracking this pattern and will create a reusable skill after one more similar request.
This will let me automatically handle this in the future without needing detailed instructions.

Step 3: Generate Skill (after threshold)

System automatically creates .claude/skills/auto-[intent]-[id]/SKILL.md

Step 4: Confirm with User

code

✅ I've created a new skill for [intent]!

From now on, when you ask about [trigger phrases], I'll automatically:
1. [Step 1 from user's instructions]
2. [Step 2 from user's instructions]
3. [Step 3 from user's instructions]

The skill is saved in .claude/skills/auto-[name]/ and improves with each use.
You can edit it anytime to refine the approach.

Special Cases

API Documentation Skill

If user asks for API docs 2+ times:

markdown

---
name: auto-api-docs-lookup
description: Always search web for current API documentation. Use whenever API, SDK, or technical documentation is mentioned.
allowed-tools: [web_search, web_fetch, bash_tool, view]
---

# API Documentation Lookup

## When to Use
- User mentions API, SDK, library documentation
- Technical integration questions
- "Latest" or "current" version queries

## Process (Auto-search enabled)
1. **ALWAYS web_search first**: "[library name] official documentation [current year]"
2. Prioritize official sources (github.com/org/repo, docs.library.com)
3. Use web_fetch to read full current docs
4. Cross-reference version compatibility
5. Cite sources with dates

## User Instruction
[User's explained methodology goes here]

Analysis Skill

If user repeatedly explains analysis approach:

markdown

---
name: auto-analysis-methodology
description: Analysis workflow based on user's preferred methodology. Use when user asks to "analyze", "evaluate", or "assess".
---

# Analysis Methodology

## When to Use
- "Analyze this..."
- "Evaluate the..."
- "Break down..."

## User's Preferred Approach
[Captured from user's repeated instructions]:
1. [Step they always mention first]
2. [Their second step]
3. [How they want results formatted]

## Validation
[How user checks if analysis is complete]

Skill Improvement Loop

After each use of an auto-generated skill:

python

# In your response, include:
"""
📊 Skill Usage Feedback

This used the auto-generated '[skill-name]' skill.

Did this match your expectations? If not, I can refine the skill by:
- Adding more detail
- Adjusting the methodology
- Including additional validation steps

Just say "improve the [skill-name] skill" and explain what to change.
"""

Commands for Users

bash

# Track a new pattern
./skill-learner track

# See what's being learned
./skill-learner list

# Manually create skill from current conversation
./skill-learner record "what user asked" "how they explained to do it"

Integration with Claude Code

When user interacts with you:

•After response: Check if this is a repetitive pattern
•Call: ./skill-learner record "user_request" "your_methodology"
•System: Auto-generates skill at threshold
•Next time: Skill is automatically invoked

Example Workflow

First Request:

code

User: "Can you analyze this BRD? First read the executive summary, then assess market fit, then evaluate technical feasibility."
Claude: [Follows instructions, provides analysis]
Claude (internal): Records pattern via skill-learner

Second Similar Request:

code

User: "Analyze this other BRD following the same approach."
Claude: "🎓 I'm tracking this analysis pattern. One more similar request and I'll create a reusable skill."
Claude: [Executes analysis, records pattern]
Claude (internal): Skill auto-generated!

Third Request:

code

User: "Analyze the new warehouse BRD."
Claude: "✅ Using your custom analysis methodology skill..."
Claude: [Auto-invokes the learned skill, no detailed instructions needed]

Maintenance

Skills are stored in .claude/learning/patterns.json - this tracks:

•Pattern signatures
•Occurrence counts
•Example requests
•Generated skills

Clean up old patterns:

bash

# Review learned patterns
./skill-learner list

# Edit/remove if needed
nano .claude/learning/patterns.json

Real-World Examples for Project Conductor

Example 1: BRD Analysis Pattern

bash

# First time: You explain in detail how to analyze BRDs
# Second time: You explain again (slightly different BRD)
# System: Auto-creates "auto-analysis-methodology" skill
# Third time: Just say "analyze this BRD" - skill auto-invokes!

Example 2: API Documentation

bash

# You ask: "What's the latest Express.js middleware documentation?"
# Claude: web_search → web_fetch → provides answer
# You ask again: "Check Socket.io docs for new authentication methods"
# System: Creates "auto-api-docs-lookup" skill with web-search enabled
# Future: Any API question automatically searches current docs first

Example 3: Deployment Checklist

bash

# You ask: "Help me deploy to production - check env vars, run tests, build Docker"
# You ask again: "Deploy the staging environment following same steps"
# System: Creates "auto-deployment-checklist" skill
# Future: "Deploy to [env]" auto-invokes comprehensive checklist