lesson-learned

Analyze git history and diffs to extract engineering lessons and design principles.

Updated Jul 24, 2026
One-click install
npx skills add https://github.com/imMamdouhaboammar/kaku-chatgpt-harness --skill lesson-learned-immamdouhaboammar
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: lesson-learned
Source: https://github.com/imMamdouhaboammar/kaku-chatgpt-harness/tree/main/.agents/skills/lesson-learned
Command: npx skills add https://github.com/imMamdouhaboammar/kaku-chatgpt-harness --skill lesson-learned-immamdouhaboammar

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill addresses the common issue of shipping code without reflecting on the underlying engineering principles, helping developers grow by identifying patterns, trade-offs, and lessons in their recent work.

Core Features & Use Cases

  • Git-History Analysis: Automatically parses commit logs and diffs to identify structural decisions and problems solved.
  • Principle Mapping: Connects code changes to established software engineering principles like SOLID, DRY, and KISS.
  • Use Case: After completing a complex refactor, use this skill to generate a concise summary of the architectural trade-offs made and the specific engineering principles applied, providing a clear takeaway for future development.

Quick Start

Ask the lesson-learned skill to analyze the last five commits and provide an engineering takeaway based on the changes.

Frequently Asked Questions about lesson-learned

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

FAQPage Schema
How do I extract engineering lessons from git history and code diffs?

The skill maps code changes to established software engineering principles like SOLID, DRY, and KISS. It identifies structural decisions and problems solved within the commits to provide principle-based feedback on development work.

Can I analyze a specific feature branch or commit range for architectural trade-offs?

Yes, the analysis operates directly on feature branches or specific commit ranges. It parses the commit logs and diffs within that scope to identify structural decisions and generate concise architectural takeaways.

Do I need local git metadata and diffs to generate principle-based feedback?

Yes, you need local git metadata and diffs available. The tool requires access to this local repository data to parse commit logs, identify structural patterns, and provide grounded, principle-based feedback on development work.

What's the best way to summarize engineering principles applied during a complex refactor?

Analyze the git diffs of your completed refactor to generate a concise summary of the architectural trade-offs made. This connects your specific code changes to established engineering principles, providing clear takeaways for future development.

When should I review code changes for software engineering principles?

You should review code changes after completing a complex refactor or shipping significant updates. This reflection helps developers grow by identifying patterns, trade-offs, and engineering lessons in their recent work.