Commit Conventions
Skill Profile
(Select at least one profile to enable specific modules)
Overview
Commit conventions establish a standard format for commit messages, enabling automated changelog generation, semantic versioning, and clear project history.
Core Principle: "Commits are documentation. Make them readable, searchable, and meaningful."
Why This Matters
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:
- <e.g., env vars, request payload, file paths, schema>
- Entry Conditions:
- <Pre-requisites: e.g., Repo initialized, DB running, specific branch checked out>
- Outputs:
- <e.g., artifacts (PR diff, docs, tests, dashboard JSON)>
- Artifacts Required (Deliverables):
- <e.g., Code Diff, Unit Tests, Migration Script, API Docs>
- Acceptance Evidence:
- <e.g., Test Report (screenshot/log), Benchmark Result, Security Scan Report>
- Success Criteria:
- <e.g., p95 < 300ms, coverage ≥ 80%>
Skill Composition
- Depends on: None
- Compatible with: None
- Conflicts with: None
- Related Skills: None
Quick Start
Assumptions
- Team uses Git for version control
- Commit messages are written in English
- Team agrees on commit types and scopes
Compatibility
- Works with any Git hosting platform
- Language-agnostic conventions
- Can be integrated with any CI/CD system
Test Scenario Matrix
| Scenario |
Expected Behavior |
Notes |
| Valid commit format |
Commit accepted |
Follows conventional commits |
| Invalid commit format |
Commit rejected |
Commitlint validation fails |
| Breaking change footer |
Major version bump |
Detected by standard-version |
| Feature commit |
Minor version bump |
Detected by standard-version |
| Fix commit |
Patch version bump |
Detected by standard-version |
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
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
Versioning & Changelog
- Version: 1.0.0
- Changelog:
- 2026-02-22: Initial version with complete template structure