use-review-feedback
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable
发现 tools code quality 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。
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...
Pythonコードのリンタ、フォーマッタ、コードレビュー。Pythonファイル(.py)を編集・作成・修正した後に必ず実行する。ruffによる品質チェックとフォーマット、さらにコードレビューを行い問題があれば修正する。
AI-powered code review using CodeRabbit CLI. Use when reviewing code changes, checking PR readiness, getting feedback on staged/committed changes, or when the user mentions code review, CodeRabbit, or wants the...
Audit and fix AI-generated or existing code for RadOS design compliance. Use after generating UI code or when reviewing PRs. Catches common mistakes like wrong shadows, hardcoded colors, missing components, and...
Reviews code for logic flaws, edge cases, performance bottlenecks, security vulnerabilities, maintainability concerns, architecture best practices, and adherence to local patterns and CLAUDE.md guidelines. Use...
Enforce strict type safety, accessibility standards, and code quality for TypeScript/JavaScript projects using Biome's formatter and linter. Use when writing, reviewing, or fixing TS/JS/TSX/JSX code, checking f...
Automated code quality assistant that formats code, fixes syntax/type errors, detects bugs, and validates fixes across Python, JavaScript, TypeScript, Java, Go, and Rust
Validates Claude skill files for correct structure, YAML frontmatter, Python imports, naming conventions, and compliance with official documentation
Analyzes codebase for refactoring needs, generates todo reports, and validates completion
Analyzes codebases by impact scope (low/medium/high), generates refactoring checklists, supports interactive review, executes refactors with QA, and produces detailed optimization reports.
コーディング規約、テスト、Lint、型チェック、後方互換性。規約、コーディング、テスト、Lint、型チェック時に使用。
Thorough code review for Rust/WebAssembly projects. Identifies bugs, security issues, performance problems, and maintainability concerns. Provides actionable feedback with specific suggestions.
Production-ready code implementation following approved designs. Writes clean, tested, documented code. Zero linting violations. All code includes tests.
Review Go code for this project following Clean Architecture principles, Go best practices, and project conventions. Use when reviewing code, pull requests, or checking code quality.
各言語/フレームワークの安定版バージョン確認ガイド。 LTSの考え方、EOLチェック、アップグレード判断をサポート。
Analyzes code for complexity issues. Use when code feels hard to understand, reviewing maintainability, or planning refactoring.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。