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Found 920 Skills
Fetch PR feedback from all GitHub sources and validate every comment before acting. Use when user needs to process PR review comments, address reviewer feedback, or triage pull request discussions. Use for "review comments", "PR feedback", "address reviews", "address feedback", or "what did reviewers say". Do NOT use for creating new PRs, code review of local changes, or general code analysis without an existing PR.
Run Python (ruff) and JavaScript (Biome) linting, formatting, and code quality checks with auto-fix support. Use when code needs linting, formatting, or style checking before commits. Use for "lint", "format", "ruff", "biome", "code style", or "check quality". Do NOT use for comprehensive code review (use systematic-code-review).
Agent skill for code-review-swarm - invoke with $agent-code-review-swarm
Execute a micro-level React code quality audit. Validates code against live GitHub standards for testing, component architecture, hooks patterns, state management, performance, and TypeScript. Produces a detailed violations report with prioritized action plan. Use when the user asks to check React code quality, validate best practices, or review frontend code standards. Triggers on: 'react best practices', 'react code quality', 'component review', 'hooks review', 'react standards', 'frontend code quality'.
Analiza cambios staged en git para detectar bugs, vulnerabilidades de seguridad, malas prácticas, y genera descripciones detalladas de commits con mensaje en formato Conventional Commits. Usa este skill siempre que el usuario quiera revisar cambios antes de commitear o pushear, analizar un diff staged, detectar bugs o malas prácticas en código que está por commitear, generar un mensaje o descripción de commit, o hacer code review previo al commit. Se activa con frases como "revisá mis cambios staged", "analiza mi commit", "qué bugs tiene lo que cambié", "generame el mensaje de commit", "review antes de push", "detecta errores en mis cambios", "haceme un análisis antes de commitear", o "necesito una descripción para mi commit". NO usar para: code review de archivos sueltos sin contexto de commit, configurar linters, escribir tests, debugging de producción, o crear código nuevo. Este skill es específicamente para el momento previo al commit.
Use when you need to add or evaluate Maven dependencies that improve code quality — including nullness annotations (JSpecify), static analysis (Error Prone + NullAway), functional programming (VAVR), or architecture testing (ArchUnit) — and want a consultative, question-driven approach that adds only what you actually need. Part of the skills-for-java project
This skill should be used when the user asks to "audit this codebase", "audit this code", "security audit", "code audit", "find vulnerabilities", "check for bugs", "review code quality", "find dead code", "check for anti-patterns", "performance audit", "check for code smells", "technical debt", or "code health check".
Runs a second-pass cleanup over AI-written code using the repo's style guide in style.md. Prefers parallel subagents to simplify recently modified files without changing behavior. Use when the user says "deslop", "clean this up", "make this less AI", "apply my style guide", "second pass", or asks to simplify generated code after implementation.
Static inspection of Triton operator code quality (Host side + Device side) for Ascend NPU. Used when users need to identify potential bugs, API misuses, and performance risks by reading code. Core capabilities: (1) Ascend API constraint compliance check (2) Mask integrity verification (3) Precision processing review (4) Code pattern recognition. Note: This Skill only focuses on static code analysis; compile-time and runtime issues are handled by other Skills.
Automated code review assistant that analyzes GitHub pull requests and code changes. Use when: (1) user shares a GitHub PR URL and wants a code review, (2) you need to review code for bugs, security issues, or best practices, (3) performing automated code quality checks before merging, (4) analyzing code diffs for potential improvements.
Set up Markuplint in a project from scratch. Detects framework, creates config, runs initial lint, and guides the user through rule adoption with Bulk Suppressions support.
Ultra-compressed PR review comments. One issue per line: Location • Problem • Fix. Remove preambles, prioritize signals. Supports Japanese. Trigger with "PR review please", "code review", "/review", "/genshijin-review". Candidate for automatic activation during pull request reviews.