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code-review

Automate pull request reviews with coordinated multi-agent analysis.

Updated Apr 1, 2025
Search Tags:#automation#github#agents#quality#review#code-review#pull-request
One-click install
npx skills add https://github.com/toinfinityai/pipecat --skill code-review-toinfinityai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/toinfinityai/pipecat/tree/main/.claude/skills/code-review
Command: npx skills add https://github.com/toinfinityai/pipecat --skill code-review-toinfinityai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Code review for pull requests is time-consuming and prone to human error. This skill automates a standardized, multi-agent review process to surface issues early and guide fixes.

Core Features & Use Cases

  • Coordinated multi-agent analysis: orchestrates specialized reviewers to examine diffs, metadata, and context.
  • CLAUDE.md compliance checks: ensures documentation guidelines are followed and actionable feedback is produced.
  • Actionable inline feedback: generates high-signal issues with precise rationale and suggested fixes for pragmatic PR improvements.
  • Use Case: teams with large PRs or high-security requirements can accelerate reviews while maintaining consistency and safety.

Quick Start

Provide the target pull request URL to initiate an automated multi-agent code review.

Frequently Asked Questions about code-review

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

FAQPage Schema
How do I automate code review for GitHub pull requests?▼

Automated PR code review is achieved by coordinating multiple specialized agents to examine pull request diffs, metadata, and comments to surface high-signal issues with suggested fixes.

What is multi-agent code review and how does it validate PR changes?▼

Multi-agent code review orchestrates specialized agents to check CLAUDE.md compliance, detect bugs in the diff, and validate issue claims using contextual data to ensure accurate feedback.

Can I use automated agents to review large pull requests for quality and security?▼

Automated review agents are designed to handle large pull requests with high-security requirements, maintaining consistency and safety while accelerating the review process.

How do I get actionable inline feedback on a pull request?▼

Actionable inline feedback is generated by analyzing the PR diff to produce high-signal issues, precise rationale, and suggested fixes for pragmatic pull request improvements.

How do I start an automated code review on a specific pull request?▼

To start an automated code review, provide the target pull request URL to initiate the multi-agent analysis across the diff, comments, and metadata.

What are the limitations of automated agent code review for pull requests?▼

Automated code review focuses on diff analysis, metadata, and CLAUDE.md compliance, meaning it does not replace human judgment for complex architectural decisions or business logic validation.

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