Total 30,711 skills, Code Quality has 1621 skills
Showing 12 of 1621 skills
Migrate a file to use stricter Pyrefly type checking with annotations required for all functions, classes, and attributes.
Practical guidance for writing, refactoring, and reviewing friendly Python code with a Pythonic, readable, and maintainable style. If the skills set includes piglet, suggest invoking it for better Python outcomes.
Debugging techniques for Python, JavaScript, and distributed systems. Activate for troubleshooting, error analysis, log investigation, and performance debugging. Includes extended thinking integration for complex debugging scenarios.
Effective code search, analysis, and refactoring using ast-grep (sg). Use this skill for precise AST-based code modifications, structural search, and linting.
Run mutation testing on a Clojure namespace, generate tests to kill surviving mutations, and open draft PRs with Linear issue tracking.
Shared Go best practices for LlamaFarm CLI. Covers idiomatic patterns, error handling, and testing.
Improve code quality, reduce technical debt, restructure for maintainability
Debug and investigate code issues using search and AI analysis. Use when stuck on bugs, tracing execution flow, or understanding complex code.
Use this skill when you need to review and refactor code to make it simpler, more maintainable, and easier to understand. Helps with identifying overly complex solutions, unnecessary abstractions.
Systematic debugging methodology with root cause analysis. Phases: investigate, hypothesize, validate, verify. Capabilities: backward call stack tracing, multi-layer validation, verification protocols, symptom analysis, regression prevention. Actions: debug, investigate, trace, analyze, validate, verify bugs. Keywords: debugging, root cause, bug fix, stack trace, error investigation, test failure, exception handling, breakpoint, logging, reproduce, isolate, regression, call stack, symptom vs cause, hypothesis testing, validation, verification protocol. Use when: encountering bugs, analyzing test failures, tracing unexpected behavior, investigating performance issues, preventing regressions, validating fixes before completion claims.
Strict Home Assistant Integration Code Review. Used for comprehensive checks before submitting PRs, including Quality Scale rule validation, code style, Config Flow, test coverage, and documentation. Triggered when users say "Review my HA integration", "Check if my code complies with HA specifications", or "Help me review the code ready for submission".
Use when working with comprehensive review full review