Total 50,279 skills, Code Quality has 2282 skills
Showing 12 of 2282 skills
Ruby refactoring guidelines from community best practices. This skill should be used when refactoring, reviewing, or restructuring Ruby code to improve design, readability, and maintainability. Triggers on tasks involving code smells, method extraction, conditional simplification, coupling reduction, design patterns, or Ruby idiom adoption.
Use when writing code, documentation, or comments - always use accessible and respectful terminology
Puts Claude code into a different frame of mind for better results
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.
Expert-level code review focusing on quality, security, performance, and maintainability. Use this skill for conducting thorough code reviews, identifying issues, and providing constructive feedback.
Audit repos for architectural drift, dead code, and abstraction bloat.
Expert blueprint for quest tracking systems (objectives, progress, rewards, branching chains) using Resource-based quests, signal-driven updates, and AutoLoad managers. Use when implementing RPG quests or mission systems. Keywords quest, objectives, Quest Resource, QuestObjective, signal-driven, branching, rewards, AutoLoad.
Structured debug mode focused on root-cause confirmation and controlled fixes.
Carmack-level plan review via RepoPrompt or Codex. Use when reviewing Flow epic specs or design docs. Triggers on /flow-next:plan-review.
Coordinates code quality checks: ln-511 code quality, ln-512 tech debt cleanup, ln-513 agent review, ln-514 regression. Sequential pipeline, returns results to ln-500.
Run a final release checklist before shipping. Verifies no TODOs, no debug code, docs updated, tests passing, dependencies justified, and security reviewed.
When dealing with python code, these guidelines must always be followed.