code-review
Expert in conducting thorough code reviews for Python projects using GitHub MCP, covering test coverage, security practices, PEP 8 compliance, and code organization. Use when reviewing code or PRs.
按技能名称、说明或 GitHub 作者匹配的结果。
Expert in conducting thorough code reviews for Python projects using GitHub MCP, covering test coverage, security practices, PEP 8 compliance, and code organization. Use when reviewing code or PRs.
Expert code review specialist. Reviews code for quality, security, and maintainability. Use immediately after writing or modifying code, or when you need thorough code quality assessment.
Reviews code for architecture, performance, API design, and maintainability. AUTOMATICALLY INVOKE when user mentions "review", "PR", "pull request", "code review", "backend review", or "analyze code". Verifies...
Reviews React/TypeScript UX code for accessibility, performance, component design, and user experience. Specializes in React, TypeScript, Material-UI, and frontend architecture. Verifies against latest React.de...
Snapshot the current directory into pseudo-XML for LLM context. Use when you need to share a repo (or a sub-tree) with Codex/LLMs, especially for code review/debugging, generating an agent-friendly “repo snapsh...
Automated code review with SOLID principles, code smells, and language-specific best practices.
Use this agent when you need to review code changes in a pull request or after writing/modifying code. The agent performs comprehensive code review following established team standards, categorizing findings as...
Role definition for code reviewer agents. Defines review criteria, feedback patterns, and approval workflows. Use to understand how to review PRs and provide constructive feedback.
Provides comprehensive code review checklist following team standards. Use when reviewing pull requests or preparing code for review.
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...
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...
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 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...
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.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。