Total 43,574 skills, Code Quality has 2034 skills
Showing 12 of 2034 skills
Review code for quality, security, and performance with comprehensive feedback.
Use when analyzing PR review comments to determine relevance, identify ambiguities, and generate a comprehensive report without making code changes. Useful for understanding feedback landscape and initiating collaborative Q&A discussions about unclear or potentially outdated comments.
Guide for using ty, the extremely fast Python type checker and language server. Use this when type checking Python code or setting up type checking in Python projects.
Apply scientific debugging methodology through conversational investigation. Use when investigating bugs, forming hypotheses, tracing error causes, performing root cause analysis, or systematically diagnosing issues. Includes progressive disclosure patterns, observable actions principle, and user-controlled dialogue flow.
Validate Technical.md for vague rules, linter overlaps, and effectiveness issues
High-performance Rust optimization. Profiling, benchmarking, SIMD, memory optimization, and zero-copy techniques. Focuses on measurable improvements with evidence-based optimization.
Phase 2 of disciplined development. Creates implementation plans based on approved research. Specifies file changes, function signatures, test strategy, and step sequence. Requires human approval before implementation.
Professional software implementation skill for building features, components, and systems through multi-phase TDD development and incremental delivery.
Audit codebases with full recognition and PR review for uncommitted changes. Detects SEO issues, technical problems, security vulnerabilities, accessibility issues, performance bottlenecks, and more. Supports Normal, Strict, and Expert modes with Complete Audit or PR Review options.
Review code for best practices, security issues, and potential bugs. Use when reviewing code changes, checking PRs, analyzing code quality, or performing security audits.
Use when deciding where to catch errors. Use when errors propagate too far or not far enough. Use when designing component/service isolation.
Automated AI-powered code review that runs on git hooks with progressive disclosure design. Use when setting up automated code review for a project, installing git hooks for code review, creating or modifying review rules, or configuring review behavior. Triggers on requests like "set up AI code review", "install review hooks", "create review rules", or "configure code reviewer".