Total 54,373 skills, Code Quality has 2447 skills
Showing 12 of 2447 skills
Review an implemented .plan.md by executing the instructions in its
Practical guidance for writing, refactoring, and reviewing fast, reliable, and maintainable Rust code.
Quickly set up golangci-lint environment for Go projects. Auto-detect version, create config, integrate CI, generate smart ignore rules, ensure existing code passes safely.
Run J-Star code review on staged changes. Analyze, fix P0/P1 issues, and iterate until clean.
Enforces strict refactoring workflow for TypeScript/React codebases. Use when refactoring files with multiple exports, splitting components/hooks/utils, moving inline types to types/, and enforcing post-refactor quality gates.
Setup universal code quality standards in your project. Use when the user wants to generate coding standards files (CLAUDE.md, AGENTS.md, GEMINI.md, etc.) or mentions 'code standards', 'code review setup', or similar intent in any language.
Project-wide coding standards and conventions specialist. Use PROACTIVELY when writing code, making architectural decisions, or establishing project conventions. Covers coding style, commenting, error handling, validation, tech stack consistency, and project conventions across all languages and frameworks.
Reviews Elixir code for performance issues including GenServer bottlenecks, memory usage, and concurrency patterns. Use when reviewing high-throughput code or investigating performance issues.
Review Java code for language and runtime conventions: concurrency, exceptions, try-with-resources, API versioning, collections and Streams, NIO, and testability. Language-only atomic skill; output is a findings list.
Modernize legacy codebases, migrate frameworks, and reduce technical debt. Use for legacy system updates or framework migrations.
Achieve end-to-end type safety with Zod runtime validation, tRPC type-safe APIs, Prisma ORM, and TypeScript 5.7+ features. Build fully type-safe applications from database to UI for 2025+ development.
Analyze code repository logging coverage to ensure all function branches have LOGE/LOGI logs and identify high-frequency log risks. Supports multiple programming languages (C++, Java, Python, JavaScript, etc.)