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signalcompose
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pr-review-team

Orchestrate a multi-agent team for pull-request reviews with CI/CD integration and iterative fix loops.

4|Updated Jan 12, 2026
Search Tags:#automation#ci/cd#code review#github#ai agents#pr review
One-click install
npx skills add https://github.com/signalcompose/claude-tools --skill pr-review-team
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pr-review-team
Source: https://github.com/signalcompose/claude-tools/tree/main/plugins/code/skills/pr-review-team
Command: npx skills add https://github.com/signalcompose/claude-tools --skill pr-review-team

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the complex and time-consuming process of code reviews for pull requests by leveraging a team of specialized AI agents, ensuring thoroughness and efficiency.

Core Features & Use Cases

  • Parallel Agent Review: Deploys multiple AI agents (reviewer, fixer, analyzer) simultaneously to cover different aspects of a PR.
  • CI/CD Integration: Fetches and analyzes Continuous Integration results to identify and prioritize failures.
  • Iterative Fix Loop: Manages a cycle of review, feedback, automated fixing, and re-review to resolve issues efficiently.
  • Use Case: When a developer submits a pull request, this Skill can automatically initiate a comprehensive review, identify potential bugs, security vulnerabilities, and style issues, and even attempt to fix them, reporting back with a summary before human intervention is needed.

Quick Start

Initiate a team-based PR review for the current pull request.

Frequently Asked Questions about pr-review-team

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate pull request code reviews using AI agents?▼

Automated PR review deploys a multi-agent system with specialized AI agents to analyze code changes, identify bugs, and validate security checklists. It orchestrates parallel agents to cover different review aspects simultaneously, reducing manual effort and ensuring comprehensive feedback.

Can AI agents automatically fix bugs found during a GitHub PR review?▼

AI agents can automatically fix bugs found during a GitHub PR review through an iterative fix-and-re-review loop. The system manages a cycle of generating feedback, applying automated fixes, and re-reviewing the changes to confirm issues are resolved before human intervention.

Does automated code review integrate with CI/CD pipeline failures?▼

Automated code review integrates with CI/CD pipelines by fetching and analyzing continuous integration results. It identifies and prioritizes pipeline failures, allowing the agent team to focus on resolving critical build or test issues alongside code quality and security vulnerabilities.

What is the best way to analyze security vulnerabilities in a pull request?▼

Analyzing security vulnerabilities in a pull request is best handled by deploying a multi-agent system that includes security checklist validation. The agents gather PR context and perform failure analysis to detect potential vulnerabilities, style issues, and bugs before merging.

Do I need to manually trigger the agent team for every pull request?▼

Triggering the agent team for PR reviews can be automated upon pull request submission. Once a developer submits a PR, the system automatically initiates the comprehensive review process, forming the agent team and reporting back with a summary without requiring manual initiation.

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