git-workflow-trigger
Natural language wrapper for git commands - automatically triggers /git:commit, /git:status, /git:push when users express git workflow intent
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Natural language wrapper for git commands - automatically triggers /git:commit, /git:status, /git:push when users express git workflow intent
Keep changes narrowly scoped with a tiny patch plan and stop criteria
Handles emergency hotfix process for critical bugs in ash_cookie_consent library including branch creation, minimal fixes, testing, and rapid release. Use when user asks to "create hotfix", "emergency fix", "pa...
Detects backward-incompatible changes to public APIs, function signatures, endpoints, and data schemas before they break production. Suggests migration paths.
Automatically generates and updates API documentation from code changes with multiple format support
Reviews code architecture for hexagonal patterns, checks dependency directions, and suggests improvements for ports and adapters separation. Activates when users work with services, repositories, or architectur...
Natural language wrapper for validation commands - automatically triggers /validate-and-fix when users request quality checks, linting, or auto-fixes
Request and process code review efficiently with a simple rubric and patch plan
Reviews Python code for PEP8 compliance, type hints, modern best practices (Python 3.9+), and code quality. Detects anti-patterns, validates documentation, and provides severity-based recommendations. Integrate...
Scaffold a native-looking, effective Electron app with best practices baked in. Creates a production-ready Electron application with security hardening, modern tooling, proper IPC patterns, auto-updates, native...
Systematic code review guidelines and checklist. Use this skill when reviewing code, conducting pull request reviews, or establishing code quality standards. Provides comprehensive review criteria covering func...
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...
Security scanning, compliance checks, deployment automation, and infrastructure management. Use for security audits, compliance validation, and deployment planning.
Query codebases semantically using LLMs. Use when asking questions about libraries, frameworks, or source code — searches actual source, not outdated docs.
Write production-quality code following project patterns. Use when implementing features, fixing bugs, or creating new files. Includes Context7 library documentation lookup.
Create, extract, and publish TypeScript SDKs. Covers analyzing existing applications to extract reusable logic, designing clean SDK APIs, implementing typed clients with proper error handling, bundling for mult...
CLI tools for Svelte 5 documentation lookup and code analysis. MUST be used whenever creating or editing any Svelte component (.svelte) or Svelte module (.svelte.ts/.svelte.js). If possible, this skill should b...
Write clean, efficient TypeScript code that follows common best practices
Delegate large file analysis and bulk code generation to Gemini CLI. Use when files exceed 1000 lines, structural file splitting needed, or repetitive boilerplate generation required. NOT for architecture, ECS,...
Edit an existing comment on a Jira ticket. Use when the user wants to update, correct, or improve a comment they previously added.
Update your knowledge base using changes in repos since the last evaluation. Checks what changed, helps update documentation, and records the new evaluation in the staleness log.
Systematic development workflow: Analyze → Plan → Execute → eLicit → eXamine. Use for ANY development task: features, bug fixes, refactoring, hotfixes. Triggers: "implement", "create", "build", "fix", "add feat...
Audits feature completeness by scanning codebases and comparing against PRD requirements. Identifies gaps between backend implementation and user-facing accessibility. Generates remediation tasks and integrates...
Gamification layer for Claude Code - track achievements and master all features
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.