PR Memory

Record GitHub pull request merges and closures to detect recurring patterns.

1|Updated Mar 7, 2026
One-click install
npx skills add https://github.com/jimmymalhan/codereview-pilot --skill pr-memory
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: PR Memory
Source: https://github.com/jimmymalhan/codereview-pilot/tree/main/.claude/skills/pr-memory
Command: npx skills add https://github.com/jimmymalhan/codereview-pilot --skill pr-memory

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the challenge of institutional knowledge loss by creating a persistent record of Pull Request (PR) activities, extracting lessons learned, and identifying recurring patterns to prevent past mistakes.

Core Features & Use Cases

  • PR Activity Logging: Automatically records merged and closed PRs, including their outcomes and associated lessons.
  • Pattern Identification: Analyzes PR data to detect recurring issues or successful strategies.
  • Skill Improvement: Feeds insights from PRs back into the development of other skills.
  • Use Case: After a series of PRs related to a specific feature are merged, this Skill can identify common bugs introduced or effective solutions implemented, ensuring that future development avoids known pitfalls and leverages successful approaches.

Quick Start

Use the PR Memory skill to record recent pull request activity and identify any recurring patterns.

Frequently Asked Questions about PR Memory

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

FAQPage Schema
How do I track lessons learned from pull requests to prevent past mistakes?

Tracking lessons learned from pull requests involves maintaining a persistent record of PR activities, including merges and closures. This Skill archives PR data and test results to extract lessons and prevent the repetition of past development mistakes.

Can I detect recurring code review patterns from merged and closed PRs?

Yes, detecting recurring code review patterns is possible by analyzing historical PR data, comments, and test results. This Skill identifies emergent patterns and recurring issues across merged and closed pull requests to inform future development strategies.

Do I need GitHub API access to retrieve pull request data for pattern detection?

Yes, GitHub API access is required to retrieve pull request lists and associated data. This Skill uses the API to verify PR activities, extract comments, and analyze test results for accurate pattern detection and lessons learned extraction.

How do I log PR activity to feed insights back into software engineering skills?

Logging PR activity to feed insights into software engineering skills requires recording merged and closed PRs with their outcomes. This Skill captures historical PR data and uses it to identify successful strategies and common bugs for skill improvement.

What's the best way to archive pull request history without losing institutional knowledge?

The best way to archive pull request history without losing institutional knowledge is to systematically record PR activities, comments, and test outcomes. This Skill creates a persistent historical record to capture lessons learned and prevent knowledge loss.

Why does identifying emergent patterns in pull requests help prevent recurring bugs?

Identifying emergent patterns in pull requests helps prevent recurring bugs by analyzing past PR data to detect common issues. This Skill extracts lessons from previous closures and merges, ensuring future development avoids known pitfalls and leverages successful approaches.