Git & Version Control

Universal data cleaning skill that analyzes, cleans, and standardizes datasets across CSV, TSV, Excel, Parquet, JSON, XML, and YAML formats. Generates Python scripts for efficient processing of large datasets (1M+ rows) without loading data into LLM context.

Analyze and resolve Sentry comments on GitHub Pull Requests. Use this when asked to review or fix issues identified by Sentry in PR comments. Can review specific PRs by number or automatically find recent PRs with Sentry feedback.

인터랙티브 리베이싱(interactive rebasing), 충돌 해결, 히스토리 조작, 버그 추적을 위한 bisect, cherry-picking, reflog 복구 및 브랜치 관리 전략을 포함한 고급 Git 작업 및 워크플로우입니다. 사용 사례: (1) 인터랙티브 리베이싱 및 커밋 정리, (2) 복잡한 머지 충돌 해결, (3) 버그 추적을 위한 Git bisect, (4) 히스토리 재작성 및 정리, (5) 브랜치 전략 구현 (Git Flow, trunk-based), (6) reflog를 이용한 유실된 커밋 복구

End-of-day command to capture what happened, consolidate notes, and set up for tomorrow. Use when the user types /wrap_up, says "end of day", "wrapping up", or "done for the day". Gathers git activity, integrates /note entries, and creates a daily summary in activity.md.

PRISMA-compliant manuscript drafting for systematic reviews

Master JavaScript and TypeScript for frontend development. Learn ES6+ features, async programming, DOM APIs, and type-safe JavaScript development.

Draft a Conventional Commits message in markdown when the user asks for a commit message/commit msg (e.g., "commit msg?", "commit message", "msg in md"). Use for any request to write or format a git commit message.

Intelligent bug fixing workflow combining root cause analysis, multi-model reasoning, Codex auto-fix, and comprehensive testing. Uses RCA agent, Codex iteration, and validation to systematically fix bugs.

Compress session conversation into structured summary for system memory. Activate when user says "compress", "compress session", or after significant work. Captures decisions, tools built, breakthroughs, and context that git commits can't preserve.

Coordinate development workflows across multiple Git repositories with synchronized branching, batch commits, cross-repo operations, and monorepo-like workflows for microservices and multi-package projects.

Generate a concise end-of-day summary from GitHub activity in the last 24 hours - commits, issues, and PRs

Research GitHub, GitLab, and Bitbucket repositories using DeepWiki MCP server. Use when exploringunfamiliar codebases, understanding project architecture, or asking questions about how a specificopen-source project works. Provides AI-powered repo analysis and RAG-based Q&A about source code.NOT for fetching library API docs (use fetching-library-docs instead) or local files.

React Native (Expo) 项目代码质量检测和修复，包括 TypeScript 检查、ESLint、Prettier 格式化、Jest 测试。当用户提到"代码检查"、"分析"、"格式化"、"代码风格"、"质量检测"、"测试"、"lint"时使用此 skill。

Comprehensive API design and development workflow that orchestrates API architecture, endpoint design, documentation generation, and integration patterns. Handles everything from RESTful API creation and GraphQL schema design to API gateway setup and version management.

Systematic troubleshooting for MCP tools including installation issues, runtime errors, config problems, and debugging strategies. Use when MCP tools not working, debugging errors, or helping users...

Automates GitHub workflows including batch issue creation from JSON/CSV, PR creation with issue linking, pre-PR testing, and WordPress-specific validation (PHP linting, WPCS). Use when creating multiple issues, automating PR workflows, or validating WordPress code before commits.

Use when reviewing GitHub pull requests with gh CLI - creates pending reviews with code suggestions, batches comments, and chooses appropriate event types (COMMENT/APPROVE/REQUEST_CHANGES)

Review release readiness by checking ChangeLogs and version definitions and then create a git tag for the requested version. Use when asked to release or tag a version (e.g., "Please release 0.2.0", "Please tag 0.2.0") or to verify ChangeLog/version consistency before tagging.

Specialized workflow for transforming verbose natural language into semantic OCTAVE structures. REQUIRES octave-literacy to be loaded first. Use when refactoring documentation, generating knowledge artifacts, or compressing context. Triggers on: compress to octave, semantic compression, documentation refactoring.

Create and manage Jupyter notebooks for testing Adobe Edge Delivery Services (EDS) blocks interactively in the browser using the ipynb-viewer block. Interactive JavaScript execution, overlay previews with backdrop, direct ES6 imports. Use when creating notebooks, testing blocks with ipynb files in browser, generating overlay previews, or creating executable documentation.