Skills matching the name, description or GitHub author.
Get a second opinion from OpenAI Codex CLI for plan reviews, code reviews, architecture decisions, and hard problems. Use when you need external validation, want to compare approaches, or are stuck on a difficu...
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...
Sync GitHub PRs to local YAML files for code review analysis.
Applies Google's engineering practices for strict, health-focused code reviews.
Review unpushed commits before pushing for code quality, bugs, security issues, and error handling. Use when preparing to push commits, want pre-push code review, or need to validate changes before pushing. Run...
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.
Code review patterns, testing, and pre-commit quality gates
Comprehensive code review orchestrator. Runs multiple focused review analyses (bugs, types, maintainability, simplicity, coverage, docs, AGENTS.md) and consolidates findings. Use before PR or after implementati...
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.
GitHub PR creation workflow with automated code review. Use when user wants to create a PR, requests `/pr`, or needs to push changes to GitHub with quality checks.
Use when asked to "review code", "review PR", "review diff", "check this PR", "do a code review", or mentions "code review", "PR review", "full diff", "cross-file patterns", "code quality", "review changes".
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...
Use when reviewing code, PRs, or diffs. Triggers on "review", "code review", "PR", "pull request", "diff", "check this", "look at this code", "quality", "refactor", "egregious", "cross-file", "duplicate", "dupl...
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.
Apply when reviewing pull requests, conducting code reviews, or self-reviewing code before submission.
Review code changes in GitHub pull requests or local git branches against main branch. This skill should be used when users request code review for PRs or branch changes in git repositories.
Perform code review, analyze code quality, find bugs, suggest improvements, check best practices and coding standards.
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.