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Found 1,097 Skills
Author's cleanup checklist before committing or submitting a PR. Use before any commit or PR to ensure code is clean, focused, and ready for review. Checks for debug code, secrets, redundant changes, and scope creep.
Use when receiving code review feedback (especially if unclear or technically questionable), when completing tasks or major features requiring review before proceeding, or before making any completion/success claims. Covers three practices - receiving feedback with technical rigor over performative agreement, requesting reviews via code-reviewer subagent, and verification gates requiring evidence before any status claims. Essential for subagent-driven development, pull requests, and preventing false completion claims.
React/TypeScript 코드 리팩토링을 위한 비판적 분석 및 실행 스킬. 사용자가 컴포넌트 경로와 문제점을 제시하면, 각 문제점을 "수정하기 좋은 코드" 관점에서 비판적으로 검토하고, sequential-thinking으로 단계별 분석 후 리팩토링 계획을 수립하여 실행한다. 트리거: "리팩토링", "개선하고 싶어", "코드 구조 변경", "훅 분리", "응집도", "결합도" 등의 키워드와 함께 React 컴포넌트 경로가 제시될 때 사용.
[Review & Quality] ⚡⚡⚡ Two-pass code review for task completion
This skill SHOULD be used when writing, reviewing, or refactoring Neovim plugins in Lua. Apply Neovim community best practices, plugin architecture patterns, and idiomatic Lua style to ensure clean, maintainable plugins.
Detect code smells and apply safe refactoring techniques
Python project scaffolding and development with modern tooling. Use when creating new Python projects, setting up virtual environments, configuring dependencies, or working with Flask web applications. Triggers on mentions of Python setup, uv, Flask, pytest, or project initialization.
Audit and refactor code for clarity, maintainability, and correctness. Use when the user asks to refactor, clean up code, reduce complexity, fix code smells, or improve code quality.
Use when dispatching code reviews for tiers with N greater than 1 (max-20x, max-5x) in subagent-driven development, or manually for critical changes over 200 lines or security-sensitive code
Write Python docstrings following the Google Python Style Guide, using clear sections and examples.
Expert guidance for R package development following best practices for devtools, testthat, roxygen2, and R ecosystem tools
Use when requesting code review, receiving code review feedback, before merging, or when handling reviewer suggestions - covers both giving and receiving review