github-code-review
Comprehensive GitHub code review with AI-powered swarm coordination
Skills matching the name, description or GitHub author.
Comprehensive GitHub code review with AI-powered swarm coordination
Orchestrate multi-agent development workflows. Use when starting a new feature to coordinate architecture design, implementation, code review, and release through specialized sub-agents.
Expert code review for Python, microservices, security, and production best practices. Automatically activated when code review is needed to identify bugs, security issues, and quality problems.
Monitor PR for code review, analyze feedback with AI, implement fixes, and merge when approved with CI green.
Monitor PR for code review, analyze feedback with AI, implement fixes, and merge when approved with CI green.
Monitor PR for code review, analyze feedback with AI, implement fixes, and merge when approved with CI green.
Multi-agent code review orchestration following 2024-2025 best practices. Use when: - Reviewing code changes before commit or merge - PR review with comprehensive analysis needed - Security audit of code change...
This skill should be used when the user asks to "review code", "check for bugs", "review my changes", "review this PR", "code review", or mentions reviewing code quality, security issues, or codebase fit. Launc...
This skill should be used when the user asks to "fix the issues", "apply the fixes", "fix what the review found", "auto-fix bugs", or wants to execute fixes for issues identified by a prior code review. Spawns...
How to track our work through commits, pull-requests, and pushes. Maintain proper git hygiene in our chaotic, multi-agent environment through atomic commits, with the option to have code reviewed by AI agents w...
AI-powered unified development orchestrator combining debugging, refactoring, performance optimization, code review, testing integration, and profiling into comprehensive development workflows with Context7 int...
Code Reviewer Agent. Frontend/Backend 코드 리뷰를 담당합니다. 코드 품질, 테스트 커버리지, 보안, 성능을 검토합니다.
Use when interacting with GitHub repositories, branches, or PRs. Automatically triggered for PR viewing, code review, and repo inspection tasks.
Complete code review workflow for PR/MR with multiple reviewers and automated checks. Triggers: PRW, 審查流程, review workflow, PR review, MR review, pull request, merge request, 程式碼審查流程, full review, 完...
Create AI-assisted code reviews on GitHub, GitLab, or Forgejo. Use when asked to review a PR/MR, analyze code changes, or provide review feedback.
Code review workflow for evaluating changes against standards. Use when reviewing pull requests, commits, or diffs.
Technical evaluation of code review feedback. Use when receiving review feedback - requires verification before implementing, no performative agreement, push back when technically wrong.
Multi-agent spec review with parallel Claude/OpenCode reviewers. Use after spec-create or standalone via /spec.review.
Orchestrate multi-agent development workflows. Use when starting a new feature to coordinate architecture design, implementation, code review, and release through specialized sub-agents.
Follow project-wide development conventions for file structure, documentation, version control, environment configuration, and code review processes. Use this skill when organizing project files and directories...
Use for security, quality, and PM compliance review before merging strategy code. Supports Ralph Loop iterative mode for backtest optimization. Runs PM audit, security audit, code review, backtest validation, a...
Setup and troubleshoot GitHub Actions workflows using anthropics/claude-code-action for automated PR reviews. Use when creating CI/CD workflows that leverage Claude for code review, research validation, or auto...
Automated TFVC code review for Azure DevOps changesets with Snyk security scanning and Notion integration
Phased Implementation Supervisor to coordinate coding and code review subagents. Use this skill when the user has an implentation plan file and wants to execute it phase by phase with build verification, testin...
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.