azure-repos-helper
Manage Azure Repos including branches, pull requests, and code reviews. Use when working with Azure Repos or managing repository operations.
Skills matching the name, description or GitHub author.
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.
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-powered code review using CodeRabbit CLI. Use when reviewing code changes, checking PR readiness, getting feedback on staged/committed changes, or when the user mentions code review, CodeRabbit, or wants the...
Right-side-of-V verification/validation orchestration for a change or PR. Produces a single Quality Gate Report with evidence covering: code review, security audit, performance regression risk, requirements tra...
Use when executing implementation plans with independent tasks in the current session - dispatches fresh subagent for each task with code review between tasks, enabling fast iteration with quality gates
Systematic code review workflow. Use this when asked to review code, PRs, or assess code quality.
Comprehensive GitHub code review with AI-powered swarm coordination
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...
Mandatory code reviews via /code-review before commits and deploys
Use when executing implementation plans with independent tasks in the current session - dispatches fresh subagent for each task with code review between tasks, enabling fast iteration with quality gates
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...
This skill should be used when executing plan tasks autonomously, implementing features using TDD, running the red-green-refactor cycle, handling code review loops, or dealing with blocked tasks. Provides the a...
Use when executing implementation plans with independent tasks in the current session - dispatches fresh subagent for each task with code review between tasks, enabling fast iteration with quality gates
Role definition for code reviewer agents. Defines review criteria, feedback patterns, and approval workflows. Use to understand how to review PRs and provide constructive feedback.
Provides comprehensive code review checklist following team standards. Use when reviewing pull requests or preparing code for review.
Use when executing implementation plans with independent tasks in the current session - dispatches fresh subagent for each task with code review between tasks, enabling fast iteration with quality gates
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.