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pr-pair-review

Facilitate interactive GitHub pull request reviews with knowledge-enriched comments and work items.

11|Updated Feb 6, 2026
Search Tags:#code review#pull request#knowledge management#github#ai assistant#pair programming
One-click install
npx skills add https://github.com/anticorrelator/lore --skill pr-pair-review
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pr-pair-review
Source: https://github.com/anticorrelator/lore/tree/main/skills/pr-pair-review
Command: npx skills add https://github.com/anticorrelator/lore --skill pr-pair-review

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and scripts (resource) components.

What problem does it solve?

This Skill streamlines the code review process by facilitating interactive, knowledge-enriched pair reviews, ensuring thorough analysis and faster issue resolution.

Core Features & Use Cases

  • Interactive Review: Engages in a turn-based discussion protocol with reviewers.
  • Knowledge Enrichment: Automatically surfaces relevant knowledge store context to enrich discussions.
  • Structured Summaries: Generates clear PR summaries, identifies risk areas, and tracks review progress.
  • Work Item Synthesis: Creates actionable work items from review findings.
  • Use Case: When reviewing a complex pull request, this Skill helps you and your teammate discuss each comment, enriching the conversation with relevant design principles or past issues from your knowledge base, and then automatically generates a summary of action items.

Quick Start

Use the pr-pair-review skill to review pull request number 123.

Frequently Asked Questions about pr-pair-review

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

FAQPage Schema
How do I use AI for pair programming during GitHub pull request code reviews?▼

AI-assisted code reviews use a turn-based protocol to analyze reviewer comments, automatically enriching discussions with context from your knowledge store to synthesize actionable work items. It engages interactively to ensure thorough PR analysis.

What is the best way to track progress and summarize findings from a complex pull request?▼

Pull request summarization tracks review progress by structuring interactive discussions into clear summaries and identifying risk areas. It synthesizes reviewer comments and enriched context into actionable work items for faster issue resolution.

Can I automatically surface relevant design principles and past issues when reviewing code?▼

Knowledge enrichment automatically surfaces relevant context from your knowledge store during interactive code reviews. It injects design principles and past issues directly into the reviewer discussion to provide necessary background.

How do I generate actionable work items from code review comments on a GitHub PR?▼

Work item synthesis extracts findings from interactive, knowledge-enriched code review discussions and compiles them into actionable tasks. It processes reviewer comments through a defined turn protocol to create structured outputs.

Does this AI code review tool work without manual pull request links?▼

Automated PR detection identifies pull requests without manual links, allowing the interactive review process to start immediately. You can simply specify a pull request number to begin the knowledge-enriched turn-based analysis.

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