self-pr-review

Automate pull request review loops with Copilot and Gemini feedback.

2|Updated Feb 14, 2026
One-click install
npx skills add https://github.com/hideki5123/agent-skill-set --skill self-pr-review
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: self-pr-review
Source: https://github.com/hideki5123/agent-skill-set/tree/main/self-pr-review
Command: npx skills add https://github.com/hideki5123/agent-skill-set --skill self-pr-review

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the process of getting AI feedback on your own code changes, applying suggested fixes, and iterating until the code is clean, saving you time and improving code quality.

Core Features & Use Cases

  • Automated AI Review Loop: Integrates with Copilot and Gemini to request, receive, and apply code review feedback.
  • Iterative Improvement: Automatically commits and pushes fixes, then re-requests reviews until the PR meets quality standards or max iterations are reached.
  • Use Case: You've just pushed a new feature and want to ensure it's production-ready. Run this Skill to have AI reviewers identify and fix any issues, allowing you to merge with confidence.

Quick Start

Run the self-pr-review skill on the current pull request to get AI feedback and apply fixes.

Frequently Asked Questions about self-pr-review

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

FAQPage Schema
How do I automate code review on pull requests using AI?

Automate code review on pull requests by using an AI assistant to fetch comments, apply suggested code fixes, commit changes, push them, and re-request reviews iteratively until the PR is clean.

Can I use Copilot and Gemini to automatically fix code in my pull request?

Yes, you can use Copilot and Gemini to automatically fix code in your pull request by requesting reviews, parsing suggestion blocks, applying the fixes, and pushing the commits in an iterative loop.

How does an iterative AI code review loop work for GitHub pull requests?

An iterative AI code review loop works by fetching AI review comments, applying suggested code fixes, pushing the changes, and re-requesting reviews until the PR meets quality standards or reaches a maximum number of iterations.

Do I need GitHub Actions to run automated self-reviews on my pull requests?

You can run automated self-reviews on your pull requests within your development environment or through GitHub Actions, as the Skill handles PR creation, comment processing, and pushing fixes directly without requiring external dependencies.

What happens when AI code review suggestions reach the maximum iteration limit?

When AI code review suggestions reach the maximum iteration limit, the automated loop stops, leaving the remaining review comments and code fixes unresolved for manual intervention on your pull request.

How do I parse and apply code review suggestions from AI agents automatically?

Parse and apply code review suggestions from AI agents automatically by extracting suggestion blocks from PR comments, applying the code fixes to the repository, committing the changes, and replying to the review threads.