---
title: "Review pull requests with structured summaries, checks, and follow-up prompts using PR-Agent"
description: "Use PR-Agent when an agent should run an automated pull request review pass with summaries, comments, improvement prompts, or ask-mode follow-ups before human merge review."
verification: "listed"
source: "https://github.com/The-PR-Agent/pr-agent"
author: "The PR-Agent maintainers"
publisher_type: "organization"
category:
  - "Code Quality & Review"
framework:
  - "Multi-Framework"
tool_ecosystem:
  github_repo: "the-pr-agent/pr-agent"
  github_stars: 10915
---

# Review pull requests with structured summaries, checks, and follow-up prompts using PR-Agent

Use PR-Agent when an agent should run an automated pull request review pass with summaries, comments, improvement prompts, or ask-mode follow-ups before human merge review.

## Prerequisites

Python, pip, Git provider access, an LLM API key

## Installation

Choose whichever fits your setup:

1. Copy this skill folder into your local skills directory.
2. Clone the repo and symlink or copy the skill into your agent workspace.
3. Add the repo as a git submodule if you manage shared skills centrally.
4. Install it through your internal provisioning or packaging workflow.
5. Download the folder directly from GitHub and place it in your skills collection.

Install command or upstream instructions:

```
Install with pip install pr-agent for local CLI use, or add the upstream GitHub Action or webhook setup to run review, improve, and ask workflows against pull requests.
```

## Documentation

- https://github.com/The-PR-Agent/pr-agent#readme

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/review-pull-requests-with-structured-summaries-checks-and-follow-up-prompts-using-pr-agent/)