Total 53,843 skills, Code Quality has 2427 skills
Showing 12 of 2427 skills
Systematic resolution of pyright/mypy type errors with categorization and fix templates. Use when pyright fails, type errors are reported, adding type annotations, or enforcing type safety. Analyzes Python type errors, categorizes them (missing annotations, incorrect types, generic issues, Optional/None handling), and applies fix patterns. Works with .py files and pyright output.
Validate code quality, test coverage, performance, and security. Use when verifying implemented features meet all standards and requirements before marking complete.
Invoke IMMEDIATELY via python script when user requests refactoring analysis, technical debt review, or code quality improvement. Do NOT explore first - the script orchestrates exploration.
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.
Automated tooling and detection patterns for JavaScript/TypeScript code quality review
Diagnoses bottlenecks and designs performance optimization plans.
Always use this skill when dealing with code of any kind. Wether writing, reading, reviewing or something else. If it's code use this skill.
Enforces strict Spec-Driven Development. Prevents direct coding and ensures spec → generate → review loops.
Applies software engineering best practices, design principles, and avoids common anti-patterns. Use when designing systems, reviewing code quality, refactoring legacy code, making architectural decisions, or improving maintainability.
Use when ruboCop configuration including YAML config, departments, inheritance, and customization.
Use when formatting shell scripts with shfmt. Covers consistent formatting patterns, shell dialect support, common issues, and editor integration.
Practical bash scripting guidance emphasising defensive programming, ShellCheck compliance, and simplicity. Use when writing shell scripts that need to be reliable and maintainable.