screening-pr-review

Screen pull requests by summarizing changes and identifying dependency impacts.

11|1|Updated Aug 6, 2025
One-click install
npx skills add https://github.com/thkt/dotclaude --skill screening-pr-review
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: screening-pr-review
Source: https://github.com/thkt/dotclaude/tree/main/.ja/skills/screening-pr-review
Command: npx skills add https://github.com/thkt/dotclaude --skill screening-pr-review

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the initial screening of Pull Requests, providing a preliminary analysis before human reviewers engage, allowing them to focus on critical decision-making rather than repetitive checks.

Core Features & Use Cases

  • Automated PR Analysis: Gathers PR context, summarizes file changes, and checks for dependency impacts.
  • Comment Generation: Produces structured feedback with severity labels ([must], [want], etc.) and adheres to specific commenting tones and formats.
  • Use Case: Integrate this into your CI/CD pipeline to automatically flag potential issues in new PRs, ensuring that reviewers spend their time on substantive feedback and architectural considerations.

Quick Start

Use the screening-pr-review skill to analyze the current pull request.

Frequently Asked Questions about screening-pr-review

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

FAQPage Schema
How do I automate pull request screening before human review?

To automate pull request screening, you can use AI-driven pre-review to collect PR context, summarize file changes, and identify dependency impacts. This generates structured feedback with severity labels to assist human reviewers.

What is AI pre-screening for GitHub pull requests?

AI pre-screening for GitHub pull requests is an automated analysis process that gathers PR context and summarizes file changes. It identifies potential dependency impacts and generates structured feedback with severity labels for reviewer assistance.

Do I need GitHub CLI and Git to automate PR code review?

Yes, you need GitHub CLI and Git installed to automate PR code review with this approach. These dependencies are required for data collection and analysis to gather the necessary pull request context.

Can I integrate automated PR analysis into my CI/CD pipeline?

Yes, you can integrate automated PR analysis into your CI/CD pipeline. This automatically flags potential issues in new pull requests, ensuring reviewers spend time on substantive feedback and architectural considerations.

How does AI PR pre-screening format feedback for reviewers?

AI PR pre-screening format feedback for reviewers by producing structured comments with severity labels like `[must]` and `[want]`. It adheres to specific commenting tones and formats to provide clear, actionable assistance.

What are the limitations of using AI for code review pre-screening?

A limitation of using AI for code review pre-screening is that it serves as a preliminary analysis tool rather than a replacement for human judgment. It handles repetitive checks so human reviewers can focus on critical decision-making.