| name | api-documentation |
| description | API documentation is critical for enabling developers to effectively Use when this capability is needed. |
| metadata | {"author":"amnadtaowsoam"} |
Api Documentation
Skill Profile
(Select at least one profile to enable specific modules)
Overview
API documentation is critical for enabling developers to effectively integrate with your services. Well-documented APIs reduce integration time, minimize support requests, increase adoption, and improve developer satisfaction through clear examples, interactive tools, and comprehensive reference materials.
Why This Matters
- Reduces Support Burden: Clear documentation answers common questions, reducing support tickets
- Increases Developer Adoption: Good documentation encourages developers to integrate with your API
- Faster Integration: Detailed examples and guides speed up development time
- Consistent Quality: Standardized documentation ensures consistent API usage across developers
- Better Developer Experience: Interactive documentation with try-it-out features improves developer satisfaction
Core Concepts & Rules
1. Core Principles
- Follow established patterns and conventions
- Maintain consistency across codebase
- Document decisions and trade-offs
2. Implementation Guidelines
- Start with the simplest viable solution
- Iterate based on feedback and requirements
- Test thoroughly before deployment
Inputs / Outputs / Contracts
- Inputs:
- API specifications (OpenAPI/Swagger)
- Code examples in multiple languages
- API endpoint definitions
- Authentication configuration
- Entry Conditions:
- OpenAPI specification defined
- Documentation tool selected (Swagger UI, Redoc, etc.)
- Code examples prepared
- Authentication configured for try-it-out
- Outputs:
- Interactive documentation site
- API reference documentation
- Code examples library
- Changelog and version history
- Artifacts Required (Deliverables):
- OpenAPI specification file
- Interactive documentation deployment
- Code examples repository
- Authentication setup
- Acceptance Evidence:
- Documentation site accessible
- Try-it-out working
- Code examples tested
- Developer feedback collected
- Success Criteria:
- Documentation completeness > 95%
- Try-it-out success rate > 90%
- Developer satisfaction score > 4.0/5.0
- Page load time < 2s
Skill Composition
Quick Start / Implementation Example
- Review requirements and constraints
- Set up development environment
- Implement core functionality following patterns
- Write tests for critical paths
- Run tests and fix issues
- Document any deviations or decisions
def example_function():
pass
Assumptions / Constraints / Non-goals
- Assumptions:
- Development environment is properly configured
- Required dependencies are available
- Team has basic understanding of domain
- Constraints:
- Must follow existing codebase conventions
- Time and resource limitations
- Compatibility requirements
- Non-goals:
- This skill does not cover edge cases outside scope
- Not a replacement for formal training
Compatibility & Prerequisites
- Supported Versions:
- Python 3.8+
- Node.js 16+
- Modern browsers (Chrome, Firefox, Safari, Edge)
- Required AI Tools:
- Code editor (VS Code recommended)
- Testing framework appropriate for language
- Version control (Git)
- Dependencies:
- Language-specific package manager
- Build tools
- Testing libraries
- Environment Setup:
.env.example keys: API_KEY, DATABASE_URL (no values)
Test Scenario Matrix (QA Strategy)
| Type | Focus Area | Required Scenarios / Mocks |
|---|
| Unit | Core Logic | Must cover primary logic and at least 3 edge/error cases. Target minimum 80% coverage |
| Integration | DB / API | All external API calls or database connections must be mocked during unit tests |
| E2E | User Journey | Critical user flows to test |
| Performance | Latency / Load | Benchmark requirements |
| Security | Vuln / Auth | SAST/DAST or dependency audit |
| Frontend | UX / A11y | Accessibility checklist (WCAG), Performance Budget (Lighthouse score) |
Technical Guardrails & Security Threat Model
1. Security & Privacy (Threat Model)
- Top Threats: Injection attacks, authentication bypass, data exposure
2. Performance & Resources
3. Architecture & Scalability
4. Observability & Reliability
Agent Directives & Error Recovery
(ข้อกำหนดสำหรับ AI Agent ในการคิดและแก้ปัญหาเมื่อเกิดข้อผิดพลาด)
- Thinking Process: Analyze root cause before fixing. Do not brute-force.
- Fallback Strategy: Stop after 3 failed test attempts. Output root cause and ask for human intervention/clarification.
- Self-Review: Check against Guardrails & Anti-patterns before finalizing.
- Output Constraints: Output ONLY the modified code block. Do not explain unless asked.
Definition of Done (DoD) Checklist
Anti-patterns / Pitfalls
- ⛔ Don't: Log PII, catch-all exception, N+1 queries
- ⚠️ Watch out for: Common symptoms and quick fixes
- 💡 Instead: Use proper error handling, pagination, and logging
Reference Links & Examples
- Internal documentation and examples
- Official documentation and best practices
- Community resources and discussions
Versioning & Changelog
- Version: 1.0.0
- Changelog:
- 2026-02-22: Initial version with complete template structure
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