Skills matching the name, description or GitHub author.
Behavioral workflows and collaboration patterns for code review, agent coordination, and branch management. Use this skill when coordinating multi-agent work, managing code review processes, completing feature...
Analyzes and implements code review recommendations from GitHub pull requests. Fetches review comments, discusses implementation priorities with the user, applies changes, and validates through comprehensive te...
Execute implementation plan by dispatching fresh subagent for each task, with code review between tasks
Use when working with CodeRabbit AI code review. Covers triggering reviews, interpreting feedback, addressing comments, and PR workflow integration.
Brutal Vibe Audit for engineering quality. Auto-activates on: "code review", "technical audit", "engineering quality", "is this production ready", "vibe check", "slop check", "AI-generated code", "technical due...
Use this skill when performing code review on branch changes. Runs parallel CodeRabbit and architecture reviews, consolidates findings, and executes improvements. Invoke when reviewing code changes before final...
Orchestrates the Code Review process (Analysis -> Fix -> Reply/Close). Manages the workflow by invoking specialized sub-skills like code-review-analysis, tdd-refactoring, and tdd-audit. Used for (1) addressing...
Automatic code review for pull requests and commits
Implementation orchestration skill for executing code changes. Use when user has a plan and wants to implement features, bug fixes, or code changes. Requires plan/context from user. Handles VCS, TDD with Aegis...
Comprehensive development workflow specialist combining TDD, debugging, performance optimization, code review, PR review, and quality assurance into unified development workflows
GitHub development workflow best practices. Use when creating commits, pull requests, branches, reviewing code, managing issues, or any git/GitHub operations. Provides standards for commit messages, PR descript...
Orchestrates complex or architectural code changes through a structured workflow. Use when the user requests multi-file changes, new features, architectural refactoring, database schema changes, new API endpoin...
This skill should be used when the user asks to "провести ревью", "проверить код", "найти проблемы в коде", "code review", "найти баги", "проверить на ошибки", "analyze code quality", "ревью PR", "review pull r...
Use when executing implementation plans with independent tasks in the current session or facing 3+ independent issues that can be investigated without shared state or dependencies - dispatches fresh subagent fo...
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...
Comprehensive GitHub code review with AI-powered swarm coordination
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...
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...
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.
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.