Total 53,999 skills, Code Quality has 2432 skills
Showing 12 of 2432 skills
Render a PR diff review as a Cursor Canvas that groups changes by reviewer importance, separates boilerplate from core logic, and highlights tricky or unexpected code. Use when reviewing a pull request, summarizing a diff for review, or when the user asks for a PR review canvas, diff walkthrough, or change-set overview.
Use when designing, reviewing, refactoring, or implementing code that should stay simple, testable, readable, and sustainable. Applies principles for investigating before changes, keeping few layers, making I/O explicit, using dependencies deliberately, organizing by feature, naming consistently, and presenting plans progressively.
Review local code changes organized into logical chapters with Stage CLI, a code review tool that works with any AI agent
Software development based on Extreme Programming (XP). Use it when implementing software features of any kind. Coordinates planning, TDD, refactoring, and commits.
Guardião da qualidade de código e entregas no SynkOS. Use esta skill quando o usuário pedir para revisar código implementado, executar gates de qualidade, fazer code review, validar se uma story atende os critérios de aceite, checar segurança (OWASP), ou fazer perguntas como "revise o código da story X", "o que passou no gate de qualidade?", "há problemas de segurança?", "a implementação cobre os critérios de aceite?", "rode o code review automatizado". Ative também para documentar findings com severidade, decidir PASS/CONCERNS/FAIL/WAIVED para stories, e devolver ao dev com checklist de correções quando a story falha.
Use when planning, splitting, shrinking, or sequencing large features, refactors, migrations, or pull requests into small reviewable PRs or CLs. TRIGGER on "split this PR", "this diff is too large", "stacked PRs", "change sequence", "reviewable chunks", "migration plan", "how should I break this up?", or implementation scope too broad for one review. DO NOT TRIGGER for full code review, PR description writing, or tiny one-file edits that already form one self-contained change.
Request coding agents to review code, verify review results and fix confirmed issues
Launch both thermo-nuclear review subagents in parallel, then synthesize their findings. Use for thermos, double thermo review, or combined bug/security and code-quality branch audits.
Detect AI-generated code patterns ("slop") in PHP/Laravel and TypeScript/React source — comment narration, generic naming, premature interfaces, defensive overdose, mock-everything tests, and the absence of human "scars". Use when reviewing AI-assisted PRs, auditing code for taste/quality (not metrics — that's technical-debt), or hardening a code-review checklist. Triggers on "review for AI slop", "find AI patterns", "check code feels human", "audit code-quality taste".
Comprehensive Rust code review across four lenses — source code (ownership, borrowing, lifetimes, errors, trait design, unsafe, common mistakes), tests (unit, integration, async testing, mocking, property-based), tokio async (task management, sync primitives, channels), and FFI (extern blocks,
Use when reviewing a PR with contrarian inversion to stress-test changes via @coderabbitai, making specific factual claims about dependency behavior that Conejo can later verify by reading library source code. Triggers on proud-zanahoria, contrarian review, inverse review, devil's advocate PR, zanahoria.
Spawn a focused code review subagent. Use after every RED/GREEN cycle (pass the files changed in that cycle), after a commit, or whenever the user asks for a review. Always use this skill for reviews — it ensures the review lens is test-first and findings are fix-oriented.