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⚠️ CRITICAL EXECUTION REQUIREMENTS ⚠️

WORKFLOW: Project FIRST, Research SECOND, Build THIRD

MANDATORY STEPS (DO NOT SKIP):

1. ✅ Create TodoWrite with ALL phases
2. ✅ Ask integration name (e.g., "airtable", "slack", "github")
3. ✅ RUN create-project skill to create planning project
4. ✅ PHASE 1: Web Research - comprehensive API/integration research
5. ✅ PHASE 2: Architecture Design - define master skill structure
6. ✅ PHASE 3: Build - create master skill from templates
7. ✅ PHASE 4: Validate - test and document

ANTI-PATTERN (DO NOT DO THIS):
❌ Skip project creation
❌ Start building without research
❌ Create master skill without understanding the integration
❌ Copy from notion-master without adapting
❌ Skip validation phase

CORRECT PATTERN (DO THIS):
✅ Ask integration → Create project → Research → Design → Build → Validate
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Create Master Skill

Build production-ready master skills (shared resource libraries) for any integration.

Purpose

Master skills solve the duplication problem: When 3+ skills share common content (setup, API docs, error handling), extract it into a master skill that all can reference.

Key Insight from notion-master:

• 3 Notion skills had 950 lines of duplicated content
• After extraction: 60% context reduction (950 → 370 lines)
• Single source of truth for setup, API, errors, schemas

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Quick Start

User says: "create master skill for Airtable"

AI does:

1. Creates planning project: {ID}-airtable-master-skill
2. Runs comprehensive web research on Airtable API
3. Designs architecture based on research
4. Builds master skill from templates
5. Validates and documents

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Workflow

Phase 0: Initiation

🔧 CREATE MASTER SKILL

What integration do you want to create a master skill for?
Examples: airtable, slack, github, linear, google-sheets, stripe

Integration name: ___________

After user provides name:

1. Validate name (lowercase, hyphenated)
2. Check if {integration}-master already exists
3. Create planning project using create-project skill

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Phase 1: Web Research (CRITICAL)

Purpose: Gather comprehensive information before building anything.

Run these searches:

## Research Tasks

1. **API Documentation**
   - Search: "{integration} API documentation official"
   - Capture: Base URLs, authentication, rate limits

2. **API Reference**
   - Search: "{integration} API endpoints reference"
   - Capture: Key endpoints, request/response formats

3. **Authentication Patterns**
   - Search: "{integration} API authentication OAuth API key"
   - Capture: Auth methods, token handling, refresh patterns

4. **Common Operations**
   - Search: "{integration} API CRUD operations examples"
   - Capture: Create, read, update, delete patterns

5. **Error Handling**
   - Search: "{integration} API error codes troubleshooting"
   - Capture: Error codes, messages, recovery patterns

6. **Rate Limits**
   - Search: "{integration} API rate limits throttling"
   - Capture: Limits, backoff strategies, best practices

7. **SDK/Libraries**
   - Search: "{integration} Python SDK library"
   - Capture: Official SDK, popular libraries, installation

8. **Best Practices**
   - Search: "{integration} API best practices integration"
   - Capture: Patterns, anti-patterns, optimization tips

Save research to: 02-projects/{ID}-{integration}-master-skill/02-resources/research.md

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Phase 2: Architecture Design

Based on research, design the master skill structure:

1. Identify Child Skills - What specific skills will use this master?

   • Query/search operations
   • Import/export operations
   • Management operations
   • Automation/workflow operations

2. Define Shared Resources

   • What setup steps are common?
   • What API patterns are reused?
   • What errors occur across all operations?
   • What schemas/types need documentation?

3. Plan Scripts

   • Configuration validation script
   • Resource discovery script
   • Common utility functions
   • Rate limiting (if needed)

Document architecture in: 02-projects/{ID}-{integration}-master-skill/01-planning/plan.md

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Phase 3: Build Master Skill

Use templates from: create-master-skill/templates/

1. Create folder structure:

   00-system/skills/{integration}-master/
   ├── SKILL.md
   ├── references/
   │   ├── setup-guide.md
   │   ├── api-reference.md
   │   ├── error-handling.md
   │   └── [domain-specific].md
   ├── scripts/
   │   ├── check_{integration}_config.py
   │   ├── discover_resources.py
   │   └── [operation scripts].py
   └── tests/
       ├── README.md
       └── run_tests.py
   

2. Populate from templates (adapting to research)

3. Fill in integration-specific content

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Phase 4: Validate

1. Run config check: python scripts/check_{integration}_config.py
2. Test discovery: python scripts/discover_resources.py
3. Verify documentation completeness
4. Create at least one child skill that uses the master

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Resources

templates/

SKILL.md.template - Master skill declaration template

setup-guide.md.template - Setup wizard template

api-reference.md.template - API documentation template

error-handling.md.template - Error handling template

check_config.py.template - Config validation script template

references/

master-skill-patterns.md - Architecture patterns from notion-master

research-checklist.md - Comprehensive research checklist

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Example: Creating Airtable Master Skill

User: "create master skill for airtable"

AI: "I'll help you create an Airtable master skill. First, let me create
     a planning project to organize this work."

     → Runs create-project skill
     → Creates: 04-airtable-master-skill project

AI: "Project created. Now I'll research the Airtable API comprehensively."

     → Runs 8 web searches
     → Saves findings to research.md

AI: "Research complete. Based on findings, I recommend these child skills:
     - airtable-connect (query any base/table)
     - airtable-sync (import/export records)
     - airtable-automate (trigger-based workflows)

     The master skill will provide:
     - Setup guide (API key, base IDs)
     - API reference (REST endpoints, field types)
     - Error handling (rate limits, validation errors)
     - Scripts (config check, base discovery)

     Shall I proceed with building?"

User: "Yes"

AI: → Creates 00-system/skills/airtable-master/
    → Populates from templates
    → Adapts content based on research
    → Validates setup

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Success Criteria

A master skill is complete when:

• [ ] SKILL.md clearly says "DO NOT load directly"
• [ ] setup-guide.md covers first-time setup end-to-end
• [ ] api-reference.md documents key operations
• [ ] error-handling.md covers common errors with solutions
• [ ] check_config.py validates all required configuration
• [ ] At least one child skill successfully references it
• [ ] Context reduction achieved (measure before/after)

---

Why This Design?

Why Project First?

• Complex work deserves proper planning
• Research findings need a home
• Progress tracked via project tasks
• Validates the approach before building

Why Research First?

• Every integration is different
• API patterns vary significantly
• Prevents wrong assumptions
• Ensures comprehensive coverage

Why Templates?

• Consistent structure across master skills
• Proven patterns from notion-master
• Reduces cognitive load
• Accelerates development

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Version: 1.0
Created: 2025-12-11
Based on: notion-master architecture analysis