pr-learning

Extract actionable learnings from merged PR lifecycles with evidence.

2|1|Updated Mar 18, 2026
One-click install
npx skills add https://github.com/harshitsinghbhandari/domain-expansion --skill pr-learning-harshitsinghbhandari
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pr-learning
Source: https://github.com/harshitsinghbhandari/domain-expansion/tree/main/skills/pr-learning
Command: npx skills add https://github.com/harshitsinghbhandari/domain-expansion --skill pr-learning-harshitsinghbhandari

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Extract actionable learnings from merged PRs by analyzing the full lifecycle: initial submission → review feedback → final merge.

Core Features & Use Cases

  • Extracts learnings from PR lifecycles to feed a knowledge base for projects and organizations.
  • Deduplicates learnings across PRs, links to evidence from review comments, and maintains both project-specific and general learnings.
  • Supports single-PR and batch processing modes and outputs to maintain learning documents.

Quick Start

Run the pr-learning command on a merged PR to generate initial learnings and attach evidence.

Frequently Asked Questions about pr-learning

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

FAQPage Schema
How do I extract learnings from merged pull requests?▼

Process multiple recent pull requests in batch mode to deduplicate learnings across entries, classify them by category and scope, and maintain both project-specific and general knowledge base documents.

What is a post-merge PR retrospective?▼

Run the pr-learning command on a merged pull request to automatically generate initial learnings, link supporting evidence from review comments, and output categorized insights for your repository or global documentation.

How do I build a code review knowledge base from past pull requests?▼

This skill supports both single-PR and batch processing modes, allowing you to extract deduplicated learnings from multiple recent merged pull requests and classify them by category and scope to build a knowledge base.

Can I process multiple merged PRs at once to generate project learnings?▼

Batch processing deduplicates learnings across multiple merged pull requests, links evidence from review comments, and classifies insights by category and scope to maintain project-specific and global learning documents.

How do I generate per-PR learnings with evidence from review comments?▼

The skill extracts actionable learnings from the pull request lifecycle and links them to supporting evidence from review comments, maintaining categorized learning documents at both repository and global levels.