code-reviewer
Comprehensive code review toolkit for evaluating quality across multiple languages. Use for PR analysis, quality checking, and generating review reports. Based on alirezarezvani/claude-skills.
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Comprehensive code review toolkit for evaluating quality across multiple languages. Use for PR analysis, quality checking, and generating review reports. Based on alirezarezvani/claude-skills.
Official coding standards and best practices derived from Xcode's internal AI chat templates.
初始化基于 lint-staged + simple-git-hooks + prettier 的 git 提交前代码格式化流程。用于在任何 Node.js 项目中快速搭建代码格式化和 git 钩子配置。
Scan codebase to identify opportunities to replace custom implementations with well-maintained open source libraries. Creates worktree, implements changes, and submits PR for review. Multi-phase workflow with p...
Validates project wrangler version on session start, detects breaking changes, and recommends updates
Clean up and organize markdown files dumped at project root. Routes files to appropriate directories (memos/, docs/, devops/docs/) or deletes obsolete content. Follows project file organization guidelines from...
Update the wrangler plugin to the latest version by clearing all caching layers. Use when user says "update yourself", "update wrangler", or after pushing changes to the wrangler repo.
This skill should be used when working with Haskell projects, "cabal.project", "stack.yaml", "ghc", "cabal build/test/run", "stack build/test/run", or Haskell language patterns. Provides comprehensive Haskell e...
Auto-generated skill from cross-repo pattern - Pattern detected in 20 repositories
Generates git commit messages following Conventional Commits 1.0.0 specification with semantic types (feat, fix, etc.), optional scope, and breaking change annotations. Use when committing code changes or creat...
Auto-generated skill from cross-repo pattern - Pattern detected in 17 repositories
Multi-repository git synchronization patterns for batch operations
Periodic cross-repo reflection analyzing 30 days of git history, extracting patterns via RAGS loop, and auto-creating skills
Use before finalizing answers or PRs: confirm requirements met, run checks, and avoid “looks good” without evidence in VS Code Copilot Agent mode.
Professional Markdown documentation skill for creating polished README files, changelogs, contribution guides, and technical documentation. Use for: (1) README generation with badges and sections, (2) Automated...
Environment configuration and secrets management skill using UV for Python projects. Handles .env files, environment variables, secrets encryption, multi-environment setups, and secure configuration patterns. U...
Complete feature development lifecycle from research to deployment. Uses Gemini Search for best practices, architecture design, Codex prototyping, comprehensive testing, and documentation generation. Full 12-st...
Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning. Coordinates planner, issue-tracker, and project-board-sync agents to automate issue...
Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management. Coordinates cicd-engineer, workflow-automation, tester, and security...
Comprehensive code review workflow coordinating quality, security, performance, and documentation reviewers. 4-hour timeline for thorough multi-agent review.
Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management. Coordinates release-manager, cicd-engineer, tester, and docs-writer...
MUST use this skill when user asks to create PR, open pull request, submit for review, or mentions "PR 생성/만들기". This skill OVERRIDES default PR creation behavior. Analyzes commits, validates task completio...
Intelligent auto-update checker with impact analysis and automated execution
Interactive code review through conversation. HOUSTON guides review, spawns specialized agents, and helps create Beads for issues found.
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.