Skills matching the name, description or GitHub author.
Comprehensive Go code review skill for PR reviews, architecture assessment, and test quality analysis. Use when reviewing Go code to ensure adherence to Go best practices, security standards, and project-specif...
Teetsh frontend code review for React/TypeScript PRs. Reviews component architecture, React Query, twin.macro styling, i18n, accessibility, responsive design, and testing. Use for PR reviews to ensure adherence...
Review de codigo React Native para o projeto Nossa Maternidade. Detecta anti-patterns como ScrollView com .map() (usar FlatList), console.log (usar logger), any em TypeScript, cores hardcoded. Use ao revisar PR...
This skill should be used when conducting focused code reviews that emphasize clarity, data flow understanding, and minimal assumptions. Trigger when reviewing pull requests, code changes, or when explicitly as...
Use this when user requests code review, pull request analysis, or quality assessment. Provides systematic 6-category checklist: functionality, security (OWASP), code quality (SOLID), performance, testing, and...
Use when executing decomposed plans with parallel batches - dispatches up to 2 fresh subagents per batch with code review between batches, enabling fast parallel iteration with quality gates
This skill should be used when users want professional SDLC practices with automated git workflows, intelligent code review, and project management without rigid processes. Orchestrates specialized agents for f...
Advanced Git operations using Git MCP. Manage branches, analyze commit history, review changes, handle merges, investigate file history, and automate Git workflows. Use when working with version control, code r...
Use when user mentions reviewing PRs, provides GitHub PR URLs/numbers, or discusses code review. Provides structured analysis of code quality, backward compatibility, security issues, test coverage, and unaddre...
Ensure features are developed according to specifications by validating implementation against API docs, database schemas, and acceptance criteria. Use before starting implementation, during code review, or whe...
Validates story implementations through testing, code review, and quality gate assessment. Uses testing skill for execution, checks standards compliance, and creates quality gate decisions (PASS/CONCERNS/FAIL/W...
Ensure code quality or perform code reviews through comprehensive checklists and standards enforcement.
Submit code review requests to multiple AI providers (GitHub Copilot, Anthropic Claude, OpenAI Codex, Google Gemini) and get patches back. Use when user says "code review", "review this code", "get a patch for"...
Perform thorough code reviews on pull requests, diffs, or code changes. Use when asked to review code, check a PR, or provide feedback on changes.
Analyze code quality, detect code smells, identify bugs, and provide improvement recommendations. Use when reviewing code, checking quality, analyzing complexity, or when user mentions code review, refactoring...
List PRs awaiting your review, checkout the branch, run linter, and generate a structured code review document.
Use this skill when discussing production readiness, severity levels (P0-P4), code review standards, or FAANG-level engineering practices. Triggers: "production ready", "P0", "P1", "severity levels", "code rev...
Inline orchestration workflow for code review with Beads integration. Provides comprehensive analysis of issues (bugs) AND improvements (recommendations), issue creation, priority-based fixing, and verification...
Use when reviewing code or PRs in the llama-stack repository (llamastack/llama-stack on GitHub). Provides specialized knowledge about Llama Stack's architecture, testing patterns (recordings folders), backward...
Use when reviewing OpenAI API usage, answering questions about OpenAI endpoints, or validating implementations against the official API specification. Provides expert knowledge on chat completions, embeddings,...
Interactive code review for agent iterations. Captures comments, tracks resolution status, and integrates with git diffs.
Code review skill. Use when reviewing changes, commits, branches, or pull requests. Focuses on bugs, structure, performance with actionable feedback.
Deep, excruciating code review. Use anytime to analyze code for correctness, edge cases, security, performance, and design issues. Not tied to baseline—this is pure code analysis.
Code review using multiple AI models concurrently
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.