Total 44,044 skills, Code Quality has 2066 skills
Showing 12 of 2066 skills
Shared Python best practices for LlamaFarm. Covers patterns, async, typing, testing, error handling, and security.
Run comprehensive PR checks including reviewing CodeRabbit comments, ensuring PR description quality, running pre-commit hooks, tests, and validation. Use on an existing PR to address review feedback.
TypeScript code style guide and formatting conventions. Use when writing TypeScript code, reviewing TypeScript files, refactoring .ts code, formatting TypeScript, or when working with TypeScript interfaces, classes, functions, or any .ts files. Apply these rules during code generation, code review, and when user mentions TypeScript style, formatting, conventions, semicolons, or code quality.
This skill guides writing of new Ruby code following modern Ruby 3.x syntax, Sandi Metz's 4 Rules for Developers, and idiomatic Ruby best practices. Use when creating new Ruby files, writing Ruby methods, or refactoring Ruby code to ensure adherence to clarity, simplicity, and maintainability standards.
Scans the codebase against another skill's criteria using a parallel agent team. Use when the user says /scan <skill-name> to audit code quality, find violations, or assess conformance to best practices.
Conducts multi-turn iterative deep research on specific topics within a codebase with zero tolerance for shallow analysis. Use when the user wants an in-depth investigation, needs to understand how...
Function design patterns emphasizing single responsibility and clarity.
Automated tech debt cleanup worker (L3). Reads codebase audit findings, applies safe auto-fixes for low-risk issues (unused imports, dead code, commented-out code, deprecated aliases). Confidence >=90% only. Creates single commit with summary.
Worker that runs parallel external agent reviews (Codex + Gemini) on code changes. Background tasks, process-as-arrive, critical verification with debate. Returns filtered suggestions with confidence scoring.
Evaluate every produced output (code, report, plan, data, API response) against type-specific quality criteria, score 1-10, make accept/reject decisions, and provide actionable improvement suggestions. Triggers on "evaluate", "check", "review", "quality control", "is this good enough", "score it", or before passing output to the next step in an agentic workflow.
Performance profiling and bottleneck detection for Node.js, Python, and browser apps
Playbook iterativo para llevar proyectos Node y TypeScript (NestJS + React en monorepo) a cumplir Quality Gates de SonarQube sin romper build ni pipelines. Usar cuando se necesite subir cobertura priorizando New Code, eliminar issues nuevos (Bugs, Vulnerabilities, Code Smells), revisar Security Hotspots y controlar duplicacion y deuda tecnica.