Total 30,299 skills, Code Quality has 1604 skills
Showing 12 of 1604 skills
Generate JSDoc/docstrings for functions
Review the current Pull Request that has been checked out locally with structured feedback on code quality, issues, testing, and suggestions. Use when you need a comprehensive code review of a PR branch.
Use AST parsing and code graph indexing for deep codebase analysis — refactoring, dead-code detection, dependency tracing, impact analysis, and safe symbol renaming
Use when implementing features from a spec or requirements document, doing multi-phase work, or when you need structured Analyze-Plan-Ask-Execute-Review cycles to prevent ad-hoc coding and ensure spec-aligned, pattern-consistent implementations
Run a structured, adversarial multi-agent bug review pipeline on a codebase. Use this skill whenever the user wants to find bugs, audit code quality, review a codebase for issues, or run any kind of bug-finding or code analysis workflow. Also trigger when the user asks to 'review my code for bugs', 'find all issues in this repo', 'audit this codebase', or any similar request. The pipeline uses three sequential phases: a Bug Finder that maximizes issue discovery, a Bug Adversary that challenges false positives, and an Arbiter that issues final verdicts — producing a clean, high-confidence bug report.
Apply effective software quality consultancy practices. Use when consulting, advising clients, or establishing consultancy workflows.
Refactor MoonBit code to be idiomatic: shrink public APIs, convert functions to methods, use pattern matching with views, add loop invariants, and ensure test coverage without regressions. Use when updating MoonBit packages or refactoring MoonBit APIs, modules, or tests.
Applies principles from Robert C. Martin's 'Clean Code'. Use this skill when writing, reviewing, or refactoring code to ensure high quality, readability, and maintainability. Covers naming, functions, comments, error handling, and class design.
Diff Review - analyzes code changes and provides structured feedback before commit
Comprehensive Python programming guidelines based on Google's Python Style Guide. Use when you needs to write Python code, review Python code for style issues, refactor Python code, or provide Python programming guidance. Covers language rules (imports, exceptions, type annotations), style rules (naming conventions, formatting, docstrings), and best practices for clean, maintainable Python code.
Automated code review for pull requests using multiple specialized agents
Specialized skill for implementing proper error handling, logging, user-friendly error messages, and error recovery strategies. Use when implementing error handling in APIs, components, or when debugging error issues.