generate-tests
Generate comprehensive, maintainable test suites through code analysis. Use when the user asks to write tests, create unit tests, add test cases, test a function, or improve test coverage.
Découvrez les skills content media code quality, comparez leurs dépôts et consultez leurs instructions.
Generate comprehensive, maintainable test suites through code analysis. Use when the user asks to write tests, create unit tests, add test cases, test a function, or improve test coverage.
Comprehensively reviews Python libraries for quality across project structure, packaging, code quality, testing, security, documentation, API design, and CI/CD. Provides actionable feedback and improvement reco...
Sets up professional Python library projects with modern tooling (pyproject.toml, uv, ruff, pytest, pre-commit, GitHub Actions). Use when creating new Python libraries, modernizing existing projects to pyprojec...
Improves Python library code quality through ruff linting, mypy type checking, Pythonic idioms, and refactoring. Use when reviewing code for quality issues, adding type hints, configuring static analysis tools,...
Compile, test, and lint Rust projects
Run, test, and lint Python projects
Kotlin 코드 작성, 코드 리뷰, 리팩토링 시 사용. 네이밍 규칙, 함수/클래스 설계, 레이어별 책임 분리 등 코딩 컨벤션을 따름.
Provides comprehensive TypeScript development expertise and coding standards. Ensures type safety through strict type checking, implements clean code patterns, and maintains consistent architectural decisions....
Comprehensive plugin auditing for compliance with marketplace best practices. MUST Use when validating, refactoring, or improving plugin quality. Do not use for creating new plugins, scaffolding components, or...
Configures modern TypeScript (4.9+ through 5.x) for maximum type safety with sustainable compile times. Use when designing type-safe configs/maps/APIs, enforcing strictness flags, improving TS build performance...
Follows project conventions, extracts examples from documentation, converts them to tests, and ensures documentation accuracy through automated testing. PROACTIVELY Use when generating comprehensive Vitest test...
Runs configured type checkers (pyrefly, mypy) on files after editing. MUST USE when validating Python type safety (Internal-only passive hook).
Provides Universal Standard for TDD, Security, and Code Quality. PROACTIVELY Use when writing code, debugging errors, or reviewing PRs. Modes: debug, review, refactor, implement.
malletリンターのルールと設定を適用。コードレビュー・品質チェック時に使用
Common Lispのコーディング規約を適用。Lispコード作成・レビュー時に使用
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable
Simplify overly complex Python code. Use when user asks to simplify, refactor, clean up, make more readable, reduce complexity, improve code quality, find code smells, detect duplicates, or analyze coupling in...
Identify and prioritize technical debt in Python codebases. Use when the user asks to find tech debt, analyze code quality, identify what needs refactoring, find security issues, check test coverage gaps, revie...
Perform code review, analyze code quality, find bugs, suggest improvements, check best practices and coding standards.
Expert guidance for Python testing that analyzes your existing setup and provides evidence-based recommendations. I'll examine your current tests, configurations, and dependencies before suggesting changes. Use...
Enforces official Claude Code component standards. Use when creating skills, agents, commands, or hooks. Validates existing components and offers remediation. Implements the "one skill = one specialized agent"...
Execute OpenAI Codex CLI for code analysis, refactoring, and automated editing. Also use for delegating complex debugging and research to GPT models for second opinions.
코드 품질을 검토합니다. "코드 리뷰", "review", "검토" 요청 시 사용합니다.
Code editing, syntax highlighting, and visual programming for Composable Svelte. Use when implementing code editors, syntax highlighting, or node-based visual programming. Covers CodeEditor (CodeMirror), CodeHi...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.