Total 50,473 skills, Code Quality has 2287 skills
Showing 12 of 2287 skills
Run Warden to analyze code changes before committing. Use when asked to "run warden", "check my changes", "review before commit", "warden config", "warden.toml", "create a warden skill", "add trigger", or any Warden-related local development task.
프로젝트의 모든 verify 스킬을 순차 실행하여 통합 검증 보고서를 생성합니다. 기능 구현 후, PR 전, 코드 리뷰 시 사용.
Expert blueprint for performance profiling and optimization (frame drops, memory leaks, draw calls) using Godot Profiler, object pooling, visibility culling, and bottleneck identification. Use when diagnosing lag, optimizing for target FPS, or reducing memory usage. Keywords profiling, Godot Profiler, bottleneck, object pooling, VisibleOnScreenNotifier, draw calls, MultiMesh.
Project code structure and file organization. Use when creating files, organizing components, or deciding where code should live.
Comprehensive code review assistant that analyzes code for security vulnerabilities, performance issues, and code quality. Use when reviewing pull requests, conducting code audits, or analyzing code changes. Supports Python, JavaScript/TypeScript, and general code patterns. Includes automated analysis scripts and structured checklists.
Automated code review for Arduino/ESP32/RP2040 projects focusing on best practices, memory safety, and common pitfalls. Use when user wants code feedback, says "review my code", needs help improving code quality, or before finalizing a project. Generates actionable checklists and specific improvement suggestions.
Perform a code review with linting, standards checking, and priority-ranked findings
Use when writing or reviewing any TypeScript code. Covers discriminated unions, branded types, Zod at boundaries, const arrays over enums, and safe access patterns.
Analyze and explain a pull request to help review it effectively
Follow the principles of Robert C. Martin's *Clean Code* for code review, refactoring, and writing. Covers best practices for naming, functions, comments, and error handling.
Use when designing solutions, adding features, or refactoring by applying KISS, YAGNI, and Principle of Least Astonishment to write simple, predictable code.
Goal-driven fitness-scored improvement loop. Measures goals, picks worst gap, runs /rpi, compounds via knowledge flywheel.