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sahilrajput280
sahilrajput280COMMUNITY
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code-review

Coordinate multiple agents to review pull requests and generate structured feedback.

Updated Aug 23, 2026
Search Tags:#automation#github#quality-assurance#ai-agent#code-review#pull-requests
One-click install
npx skills add https://github.com/sahilrajput280/DOGRAH --skill code-review-sahilrajput280
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/sahilrajput280/DOGRAH/tree/main/pipecat/.claude/skills/code-review
Command: npx skills add https://github.com/sahilrajput280/DOGRAH --skill code-review-sahilrajput280

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automated code review orchestration via multiple specialized agents to assess pull requests, enforce standards, and provide actionable feedback.

Core Features & Use Cases

  • Multi-agent coordination to inspect diffs and verify code quality, security, and policy compliance.
  • Generates structured feedback with prioritized issues and suggested fixes.
  • Use Case: When a PR is opened, trigger an automated review that returns a summary of findings and inline comments.

Quick Start

Assign a pull request URL to the skill and request a comprehensive 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 pull request reviews on GitHub?▼

You can automate pull request reviews by assigning a PR URL to this skill, which then coordinates multiple specialized AI agents to assess changes, enforce quality standards, and generate inline comments.

What is multi-agent AI code review?▼

Multi-agent AI code review is a process where multiple specialized agents inspect diffs to verify code quality, security, and policy compliance, returning structured feedback with prioritized issues and suggested fixes.

Can I use this to enforce quality-assurance standards on my pull requests?▼

Yes, this automated code review process enforces policy compliance and quality-assurance standards by coordinating agents to assess changes and provide actionable feedback directly on your pull requests.

Does the automated PR review generate inline comments?▼

Yes, the automated PR review generates structured feedback with prioritized issues, suggested fixes, and inline comments directly on the pull request to provide actionable feedback.

What is the best way to trigger an automated code review?▼

The best way to trigger an automated code review is to assign a pull request URL to the skill and request a comprehensive review, which returns a summary of findings and inline comments.

Do I need to configure multiple AI agents to review my code?▼

No, you do not need to manually configure the agents; the skill automatically coordinates the specialized agents to inspect diffs, verify code quality, and generate structured feedback.

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