Total 31,052 skills, Code Quality has 1656 skills
Showing 12 of 1656 skills
Python code quality with ruff linter. Fast linting, rule selection, auto-fixing, and configuration. Use when checking Python code quality, enforcing standards, or finding bugs.
Expert in improving code structure without changing behavior. Specializes in Design Patterns, SOLID principles, and Anti-Corruption Layers.
Validates code against coding standards and best practices. Reports compliance violations and suggests fixes.
This rule enforces the Don't Repeat Yourself principle to avoid code duplication and improve maintainability.
Validate specifications, implementations, constitution compliance, or understanding. Includes spec quality checks, drift detection, and constitution enforcement.
AI agent requests effective code reviews through proper preparation, clear descriptions, and appropriate reviewer selection. Use when creating PRs, requesting feedback, or submitting for review.
Shared Python best practices for LlamaFarm. Covers patterns, async, typing, testing, error handling, and security.
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.
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.