review-changes
Review uncommitted code changes against project standards. Similar to /review-code but scoped to changed files only. Suggests fixes and in auto-edit mode fixes automatically.
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Review uncommitted code changes against project standards. Similar to /review-code but scoped to changed files only. Suggests fixes and in auto-edit mode fixes automatically.
Run an interactive codebase audit to analyze project structure, detect issues, and generate improvement PRDs. Use when you want to understand a codebase, find technical debt, or plan improvements. Triggers on:...
Code review guidelines covering code quality, security, and best practices.
Best practices for making safe, verified code edits
Enforces "Feature-First" architecture across standard frameworks. Use to scaffold new projects, refactor messy ones, or enforce clean file organization rules.
Finds all REFACTOR markers in codebase, validates associated ADRs exist, identifies stale markers (30+ days old), and detects orphaned markers (no ADR). Use during status checks, before feature completion, or f...
Activate Code Reviewer mode for code review and quality assurance. Use when reviewing code for bugs, security issues, or optimization opportunities.
コード品質の専門家。品質・セキュリティ・パフォーマンスの観点からコードをレビュー。使用場面: (1) コードレビュー、(2) バグ発見、(3) パフォーマンス改善提案、(4) セキュリティ脆弱性チェック、(5) ベストプラクティス適...
Perform comprehensive frontend code reviews for JavaScript, TypeScript, React, Vue, Angular, and other frontend frameworks. Use this skill when reviewing pull requests, auditing existing codebases, or providing...
Optimizes multi-file refactoring workflows by enforcing token-efficient MultiEdit usage (30-50% savings), coordinating changes across files, validating imports/references, and running quality gates. Use when re...
Automatic quality control, linting, and static analysis procedures. Use after every code modification to ensure syntax correctness and project standards. Triggers onKeywords: lint, format, check, validate, type...
Review the entire codebase based on project structure, code guidelines, and standards. Suggests fixes and in auto-edit mode fixes automatically. Does not review content - use /review-all for content.
OpenAI Codex CLIを使用したコードレビュー、分析、コードベースへの質問を実行する。使用場面: (1) コードレビュー依頼時、(2) コードベース全体の分析、(3) 実装に関する質問、(4) バグの調査、(5) リファクタリング提案、(6...
This skill should be used when the user asks to "review TypeScript code", "check my TS code", "review this TypeScript", "write TypeScript", or when writing, reviewing, or refactoring TypeScript code in projects...
Use this agent when you need to fix linting errors, ensure code quality compliance, or resolve conflicts between multiple linting tools. Examples:
Review code changes for best practices, potential bugs, security issues, and style consistency. Use when asked to review code, check changes, or before committing.
Applies Sun Lab Python coding conventions when writing, reviewing, or refactoring code. Covers .py files, docstrings, type annotations, naming conventions, README.md files, git commit messages, and Claude skill...
This skill should be used when writing code in any opinionated framework's distinctive style. It applies when writing framework-based applications, creating models/controllers/views, or any framework code. Trig...
CodeRabbit CLIでAIコードレビューを実行。「レビュー」「coderabbit」「CodeRabbit」「コードレビュー」時に使用。必ず--prompt-onlyオプションを使用すること。
Enforce Definition of Done by running quality gates (type checking, linting, dead code detection, tests). Use when task is complete, before commits, when declaring "done", or when user says "check all", "run qu...
Automatically analyzes staged changes and generates a Conventional Commit message.
This skill should be used when the user asks to "write docs", "create documentation", "document this project", "write a README", or wants to create comprehensive documentation from scratch. Spawns @writer agent...
Documentation templates and structure guidelines. README, API docs, code comments, and AI-friendly documentation.
Documentation templates and structure guidelines. README, API docs, code comments, and AI-friendly documentation.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.