Skills（SKILL.md）は、AIエージェント（Claude Code、Cursor、Codexなど）に特定の能力を追加するための設定ファイルです。
詳しく見る →Performs comprehensive codebase analysis covering architecture, code quality, security, performance, testing, and maintainability. Use when user wants to audit code quality, identify technical debt, find security issues, assess test coverage, or get a codebase health check.
AI가 만든 모든 코드 변경사항을 reviews 폴더에 기록하고 간단한 HTML 뷰어로 웹 브라우저에서 실시간 확인할 수 있습니다. 매 수정마다 문서가 생성되고 Python 서버로 즉시 확인 가능합니다.
Use specific checklists to ensure comprehensive and high-quality code commenting for general code, data declarations, and program structures. Apply when writing new code, reviewing existing code, or conducting code reviews to ensure completeness and quality of documentation.
Brutally honest code reviewer. Truth over comfort.
Identifies, categorizes, and articulates code issues with brutal honesty and quantifiable specificity. Use when reviewing code, providing feedback, performing code audits, or when user needs direct assessment of code quality.
TSDoc standards for TypeScript/JavaScript code. Automatically invoked when writing, reviewing, or editing any TSDoc comments, code documentation, or API documentation. (project)
Automated code quality assistant that formats code, fixes syntax/type errors, detects bugs, and validates fixes across Python, JavaScript, TypeScript, Java, Go, and Rust
Classify code tasks and execute task-specific checklists with quality gates. Route to WRITE, DEBUG, REVIEW, OPTIMIZE, REFACTOR, SIMPLIFY, or SECURE workflows, each invoking relevant CC and APOSD skills. Produce classification statement plus DONE/NOT DONE verdict with mandatory pre-commit verification. Use when writing, debugging, reviewing, fixing, implementing, optimizing, refactoring, simplifying, or securing code. Triggers on: implement, build, create, debug, fix bug, broken, error, review, audit, optimize, slow, performance, refactor, clean up, simplify, confusing, too complex, secure, vulnerability.
Analyze codebase health - large files, test coverage gaps, duplicate code, dead/legacy code, and documentation issues. Use when asked to scan, audit, or assess code quality, find refactoring targets, or identify technical debt.
Helps with code analysis and refactoring tasks
Senior Full-Stack Code Auditor - Especialista em Arquitetura, Segurança, Performance, Observabilidade e Qualidade de Software. Focado em Node.js/Express/MongoDB com expertise em sistemas multi-tenant SaaS. Use para auditorias profundas, análise de débito técnico, code review, troubleshooting avançado, refatoração estratégica ou otimização de sistemas.
Dual-perspective code investigation. Claude explores independently, then Codex explores independently (no feeding), finally integrate both conclusions.
Evaluate code layout quality based on accuracy, consistency, readability, and maintainability rather than aesthetics. Use when establishing coding standards, reviewing code formatting, or making decisions about layout conventions.
Provides Django web framework expertise including project structure, models, views, admin, Celery tasks, testing, and Python best practices. Use when generating, analyzing, refactoring, or reviewing Django/Python code.
Provides Go programming expertise, including language syntax, idiomatic patterns, concurrency, and standard library usage. Use when generating, analyzing, refactoring, or reviewing Go code.
Fix bugs, optimize performance, and maintain code quality in CClean-Killer. Use when asked to fix detection issues, false positives, false negatives, optimize scan speed, improve performance, refactor code, or do quick maintenance tasks like version bumps or linting.
Analyze code complexity, cyclomatic complexity, maintainability index, and code churn using metrics tools. Use when assessing code quality, identifying refactoring candidates, or monitoring technical debt.
Calculate code quality metrics - complexity, coverage, maintainability
Evaluate and improve code modularization using the Balanced Coupling Model. Analyzes coupling strength, connascence types, and distance to identify refactoring opportunities and architectural improvements. Use when reviewing code architecture, refactoring modules, or designing new systems.
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Build features when user wants to implement PRDs, write code for specs, or develop functionality. Works incrementally substory-by-substory with automatic testing and code review. Automatically loads PRD context to maintain consistency. Also writes standalone tests for any file.
Guide design decisions using the State > Coupling > Complexity > Code priority framework. Use when evaluating tradeoffs, reviewing design choices, deciding between implementations, or when code volume seems to be prioritized over deeper concerns.
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Proactively audits developer work to ensure completeness and production-readiness. This skill should be used when reviewing code changes, validating task completion, or verifying that work meets industry standards—catching incomplete implementations, deferred features, hardcoded values, missing tests, and shortcuts before code goes to production.
Code quality improvement: review, refactoring, debugging. Phases: review feedback, systematic refactoring, root cause debugging, verification. Capabilities: SOLID/DRY compliance, code smell detection, complexity reduction, bug investigation, verification gates. Actions: review, refactor, debug, verify, validate code. Keywords: code review, refactor, debug, SOLID, DRY, code smell, bug fix, root cause, verification, technical debt, extract method, test failure, completion claim. Use when: reviewing code changes, improving code quality, fixing bugs, reducing technical debt, validating before merge/commit.
This skill should be used before committing code to ensure it meets Breenix quality standards. Use for running clippy checks, fixing compiler warnings, verifying no log side-effects, checking for dead code, and enforcing project coding standards from CLAUDE.md.
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Fix code quality issues identified in a code quality review stored in agent_artefacts/code_quality/<topic>/. Systematically addresses issues found by the code-quality-review-all skill for ANY code quality topic, with validation and testing at each step. Use when user asks to fix issues from a code quality review, or asks to fix issues from agent_artefacts/code_quality/<topic>.
コード品質基準の完全遵守を保証します。コミット前の品質チェックを自動実行し、エラーがある状態でのコミットを防止します。
Enforces automated quality checks before every deploy. Prevents production failures through a 5-stage Quality Gate System (Pre-Commit, PR-Check, Preview, E2E, Production). Activate on code changes, deployments, PR reviews, build failures.
Use automatically before and after code changes. Ensures documentation, formatting, type safety, and audit standards.
Expert code reviewer that enforces best practices, clean code principles, strong typing (TypeScript), architecture guidelines, and security standards. Reviews PRs and code snippets for bugs, code smells, anti-patterns, maintainability risks, performance issues, and security vulnerabilities. Use when reviewing pull requests, analyzing code quality, conducting code audits, or improving TypeScript/JavaScript codebases.
Code quality metrics provide quantitative measures of code characteristics. This skill covers complexity metrics, maintainability indices, and their practical thresholds across different languages.
Proactive code health monitoring and quality gate enforcement. Use when validating code changes, reviewing PRs, or ensuring code meets quality standards before merging.
Systematic code quality improvement workflow combining smart-reviewer and test-generator MCP tools with Pareto 80/20 auto-fixes, severity-based review, and comprehensive test generation. Use when p...
Review all evaluations in the repository against a single code quality standard. Checks ALL evals against ONE standard for periodic quality reviews. Use when user asks to review/audit/check all evaluations for a specific topic or standard.
Conducts systematic code quality analysis across multiple dimensions: maintainability, readability, complexity, design patterns, naming conventions, code duplication, and adherence to best practices.
Comprehensive code quality review focusing on DRY (Don't Repeat Yourself), KISS (Keep It Simple, Stupid), and Clean Code (Easy to Read) principles. Use when reviewing code changes, analyzing code quality, or assessing code maintainability for any feature, bug fix, or refactoring task.
Configures ESLint with Airbnb TypeScript style guide and Prettier formatter for automated code quality enforcement.
提供代码审查、性能分析、重构建议、错误诊断和调试能力。当需要代码质量评估、性能优化、或问题排查时使用。
Code quality standards including SOLID principles, design patterns, code smells, refactoring techniques, naming conventions, and technical debt management. Use when reviewing code, refactoring, ensuring quality, or detecting code smells.
Automated code quality fixes for linting, types, unused variables, and error handling; use when fixing code quality issues in bulk
Use when assessing or improving code quality, maintainability, performance, or security hygiene - provides workflows for analysis, code review, and systematic improvements with validation steps.
执行代码质量门禁检查（测试通过→覆盖率→Lint→GOAL追溯→可提交），验证单元测试覆盖率≥80%、集成测试通过率≥95%、代码规范零错误。当完成代码实现、准备提交代码、需要质量验证、进行提交前自检时使用。确保代码可合并。
Implement code quality ratchets to prevent proliferation of deprecated patterns. Use when (1) migrating away from legacy code patterns, (2) enforcing gradual codebase improvements, (3) preventing copy-paste proliferation of deprecated practices, or (4) setting up pre-commit hooks to count and limit specific code patterns. A ratchet fails if pattern count exceeds OR falls below expected—ensuring patterns never increase and prompting updates when they decrease.
Writing clean, understandable, and self-documenting code that is easy to review and maintain over time.
Proactively detect and execute code refactoring to maintain DDD architecture and code quality. Triggers: RF, refactor, 重構, 拆分, split, 模組化, modularize, 太長, cleanup, 整理, clean, 優化, optimize, extract, 提取, simplify, 簡化, 複雜度, complexity, 重組, reorganize, 改善, improve.
Analyzes codebases by impact scope (low/medium/high), generates refactoring checklists, supports interactive review, executes refactors with QA, and produces detailed optimization reports.
Guides systematic code refactoring to improve code quality, maintainability, and design. Identifies code smells, applies refactoring patterns, ensures test coverage, and follows safe refactoring practices. Produces cleaner, more maintainable code while preserving functionality. Use when improving code quality, eliminating technical debt, preparing for feature additions, addressing code smells, or when users mention refactoring, code cleanup, improving design, reducing complexity, or modernizing legacy code.
Perform comprehensive code reviews with best practices, security checks, and constructive feedback. Use when reviewing pull requests, analyzing code quality, checking for security vulnerabilities, or providing code improvement suggestions.