pr-review

Automates fetching, categorizing, validating, and applying pull request review comments via GitHub CLI and GraphQL.

Updated Dec 24, 2024
One-click install
npx skills add https://github.com/BSteffaniak/nix-config --skill pr-review-bsteffaniak
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pr-review
Source: https://github.com/BSteffaniak/nix-config/tree/main/configs/opencode/skills/pr-review
Command: npx skills add https://github.com/BSteffaniak/nix-config --skill pr-review-bsteffaniak

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires gh, and includes scripts (resource) components.

What problem does it solve?

This Skill automates the process of fetching, categorizing, and validating PR review comments, ensuring that feedback is accurate and actionable, and facilitating efficient code changes.

Core Features & Use Cases

  • Automated Comment Fetching: Retrieves all review comments, threads, and issue-level comments for a given PR.
  • Intelligent Categorization: Classifies comments as actionable (code changes, questions) or non-actionable (praise, informational).
  • Codebase Validation: Verifies actionable comments against the actual codebase to catch inaccuracies or context-blind feedback.
  • Structured Summary: Presents a clear overview of all feedback, including validity assessments for actionable items.
  • Guided Code Changes: Allows users to select specific comments to address, proposes changes with diff previews, and verifies applied modifications.
  • Use Case: When a PR has numerous review comments, this Skill helps you quickly understand the feedback, prioritize what needs attention, validate the reviewer's points, and efficiently implement the necessary code changes.

Quick Start

Use the pr-review skill to fetch and analyze all review comments for the current pull request.

Frequently Asked Questions about pr-review

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

FAQPage Schema
How do I automate fetching and categorizing GitHub PR review comments?

You can automate fetching and categorizing GitHub PR review comments by using a tool that retrieves threads and issue-level comments via GitHub CLI, then classifies them as actionable code changes, questions, or non-actionable feedback.

Can I validate pull request review comments against my actual codebase?

Yes, you can validate pull request review comments against your actual codebase. This process verifies actionable feedback to catch inaccuracies or context-blind suggestions before you attempt to implement any code changes.

What is the best way to manage and apply actionable code changes from PR feedback?

The best way to manage actionable code changes from PR feedback is to use a tool that presents a structured summary, lets you select specific comments to address, proposes diff previews, and verifies applied modifications.

Do I need GitHub CLI installed to fetch pull request threads for code review?

Yes, you need GitHub CLI installed to fetch pull request threads for code review. The automation relies on the GitHub CLI for API interactions and uses GraphQL for efficient data retrieval.

How does intelligent categorization handle praise and informational comments on a pull request?

Intelligent categorization handles praise and informational comments on a pull request by classifying them as non-actionable feedback, separating them from actionable items like code changes and questions.

What are the limitations of automating PR review comment application?

Automating PR review comment application requires user approval for modifications. While it proposes changes with diff previews and verifies applied modifications, it does not automatically merge code changes without your explicit selection and consent.