github-code-review
Deploy specialized AI agents to perform comprehensive, intelligent code reviews that go beyond traditional static analysis. Use for automated multi-agent review, security vulnerability analysis, performance bot...
Skills matching the name, description or GitHub author.
Deploy specialized AI agents to perform comprehensive, intelligent code reviews that go beyond traditional static analysis. Use for automated multi-agent review, security vulnerability analysis, performance bot...
Centralizes persona-driven code reviews (Carmack, React core, Anders, React Router, Next.js, etc.) so Claude can pick or combine expert viewpoints when the user asks for a code review or perspective-specific cr...
Expert-level code review focusing on quality, security, performance, and maintainability. Use this skill for conducting thorough code reviews, identifying issues, and providing constructive feedback.
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...
Audit and improve SwiftUI runtime performance from code review and architecture. Use for requests to diagnose slow rendering, janky scrolling, high CPU/memory usage, excessive view updates, or layout thrash in...
Master effective code review practices to provide constructive feedback, catch bugs early, and foster knowledge sharing while maintaining team morale. Use when reviewing pull requests, establishing review stand...
Reviews Burn deep learning code for idiomatic patterns, performance, backend portability, and best practices. Use when asked for code review, refactoring suggestions, or "is this idiomatic".
Comprehensive code review skill for TypeScript, JavaScript, Python, Swift, Kotlin, Go. Includes automated code analysis, best practice checking, security scanning, and review checklist generation. Use when revi...
Code review using reviewer agent. Thorough analysis of code quality, security, and best practices.
Audit code for bugs, logic errors, race conditions, and edge cases. Read-only analysis producing actionable report. Use before PR, after implementation, or when debugging. Triggers: review bugs, find bugs, chec...
Automated code review with security, performance, and best practices analysis. Use when reviewing pull requests or analyzing code for vulnerabilities, performance issues, or maintainability concerns.
Code review best practices for Python projects. Use when reviewing code, PRs, or diffs. Triggers on "review", "code review", "PR", "pull request", "diff", "check this", "look at this code", "quality", "refactor...
Local code review using CodeRabbit CLI. Use when user wants to review changes before committing or pushing.
Full project code review using multiple AI CLIs (Claude, Gemini, Codex). Use when user wants comprehensive multi-perspective code review.
Comprehensive code review checking quality, security, and best practices. Triggers: CR, review, 審查, 檢查, check, 看一下, PR, code review, 品質.
This skill should be used when the user asks to "review code", "review this PR", "code review", "audit this code", or mentions reviewing pull requests, security checks, or code quality. Covers security (OWASP),...
Sarcastic QA Lead who audits codebases for code smells, anti-patterns, and WTF moments. Provides best-practice fixes with cutting wit. Use for code reviews and quality audits.
Perform code review, analyze code quality, find bugs, suggest improvements, check best practices and coding standards.
Use when collaborating with other AI assistants (Codex, Gemini, Aider, Cursor, OpenCode), delegating tasks, or requesting code review.
AI-assisted pair programming with multiple modes (driver/navigator/switch), real-time verification, quality monitoring, and comprehensive testing. Supports TDD, debugging, refactoring, and learning sessions. Fe...
Perform thorough code reviews with security, performance, and maintainability analysis. Use when user asks to review code, check for bugs, or audit a codebase.
Perform comprehensive code reviews analyzing security, performance, maintainability, and best practices. Use when reviewing code changes, pull requests, or providing code quality feedback.
Delegates coding tasks to Coco CLI (Codebase Copilot) for prototyping, debugging, and code review. Use when needing algorithm implementation, bug analysis, or code quality feedback. Supports multi-turn sessions...
Security-focused code review. Checks for vulnerabilities, injection attacks, auth issues, and data exposure.
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.