| name | lint-format-typecheck |
| description | Linting, formatting, and type checking are automated code quality tools Use when this capability is needed. |
| metadata | {"author":"amnadtaowsoam"} |
Lint Format Typecheck
Skill Profile
(Select at least one profile to enable specific modules)
Overview
Linting, formatting, and type checking are automated code quality tools that catch errors, enforce style consistency, and improve code maintainability before code reaches production.
Core Principle: "Automate code quality checks so humans can focus on logic, not syntax."
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 agrees on code style standards
- Development environment has required tools
- CI/CD pipeline is available
Compatibility
- Works with most JavaScript/TypeScript frameworks
- Compatible with Python projects
- Can be integrated with any CI/CD system
Test Scenario Matrix
| Scenario | Expected Behavior | Notes |
|---|
| Save file | Auto-format on save | VS Code integration |
| Commit code | Pre-commit hooks run | Lint, format, type-check |
| Push to GitHub | CI checks run | All checks must pass |
| Type error | Caught before runtime | TypeScript/mypy |
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
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