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...
Code review checkpoint for conductor gates. Calls codex/review MCP tool to analyze code changes. Returns structured result with pass/fail status, issues found, and whether visual QA is needed.
Fetch, analyze, and respond to PR review comments. Use when asked to check PR comments, address review feedback, respond to reviewers, or fix issues raised in code reviews.
Review code changes using CodeRabbit CLI - supports uncommitted files (task mode) or all PR files vs main branch (pr mode). Catches bugs, security issues, and code quality problems before committing or when 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...
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...
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...
MANDATORY protocol for executing implementation plans with independent tasks - dispatches fresh subagent for each task with code review between tasks, enabling fast iteration with quality gates. MANDATORY paral...
Comprehensive GitOps compliance verification that detects configuration drift and policy violations through three audit types - (1) Cluster Drift (resources in cluster not tracked in git), (2) Spec Drift (diffe...
Verifies software compliance with the C2PA specification. Invoke during planning or code review to check implementations against the spec. Provide code/design context and optionally a target version.
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...
Manage Azure Repos including branches, pull requests, and code reviews. Use when working with Azure Repos or managing repository operations.
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.
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.
Apply when reviewing pull requests, conducting code reviews, or self-reviewing code before submission.
Perform and apply code reviews (UACRP + application protocol) and coordinate artifacts via mpcr.
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.