learn

Automates code review, post-mortem analysis, and continuous improvement across repository commits.

Updated Aug 23, 2026

Search Tags:#code review #post-mortem #continuous improvement #commit analysis #improvement loop

Ready to run

npx skills add https://github.com/agentic-cookbook/agenticdevteam --skill learn-agentic-cookbook

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: learn
Source: https://github.com/agentic-cookbook/agenticdevteam/tree/main/.claude/skills/learn
Command: npx skills add https://github.com/agentic-cookbook/agenticdevteam --skill learn-agentic-cookbook

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill streamlines the process of reviewing code commits, conducting post-mortems, and implementing improvements in a repository. It automates the entire lifecycle of code review, saving developers time and effort.

Core Features & Use Cases

Automated Code Review: Automatically review commits against predefined criteria and capture findings.
Post-Mortem Analysis: Conduct detailed post-mortem analyses on review sessions, capturing insights and identifying issues.
Continuous Improvement: Continuously refine the review process by incorporating learnings from each review session.

Quick Start

To begin a new code review session, use the following command:

/learn <target-repo> <start-commit> <count>

Frequently Asked Questions about learn

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

FAQPage Schema

How do I automate code review and post-mortem analysis over a range of repository commits?▼

To automate code review and post-mortem analysis, you can execute a Python script targeting a specific repository, starting commit, and commit count to automatically review code and capture findings.

What is the command syntax to start a code review session for a specific range of commits?▼

To start a code review session, use the command syntax `/learn <target-repo> <start-commit> <count>` to automatically analyze the specified range of commits in your repository.

Does automated commit analysis work without any external dependencies?▼

Yes, automated commit analysis works without external dependencies, but it requires access to the target repository and the ability to execute Python scripts within your development environment.

How does the continuous improvement loop refine the code review process?▼

The continuous improvement loop refines the code review process by automatically incorporating learnings and insights captured from each post-mortem analysis into subsequent review sessions.

Can I use this automated post-mortem tool for development teams focused on project management?▼

Yes, you can use this automated post-mortem tool for development teams focused on project management, as it streamlines code quality tracking and identifies issues across repository commits.

What are the limitations of automating post-mortem analysis with Python scripts?▼

A limitation of automating post-mortem analysis with Python scripts is that it requires direct repository access and manual specification of the start commit and count for each review session.