review-lessons

Audit memory and project files to categorize lessons for guidance promotion.

Updated Feb 4, 2026

Search Tags:#code review #best practices #documentation #knowledge management #guidance #ai learning

Ready to run

npx skills add https://github.com/samm-the-dev/toolbox --skill review-lessons-samm-the-dev

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: review-lessons
Source: https://github.com/samm-the-dev/toolbox/tree/main/claude-skills/review-lessons
Command: npx skills add https://github.com/samm-the-dev/toolbox --skill review-lessons-samm-the-dev

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps to systematically review and organize accumulated knowledge, ensuring that valuable lessons are promoted to shared guidance and outdated information is pruned.

Core Features & Use Cases

Knowledge Audit: Scans memory files, project instructions, and shared guidance to identify key lessons.
Guidance Improvement: Categorizes findings into 'Promote', 'Already covered', 'Outdated', 'Project-specific', and 'Trim from guidance'.
Use Case: After a series of complex coding tasks, use this Skill to identify recurring solutions or best practices that should be added to the team's central knowledge base.

Quick Start

Run an incremental audit of lessons learned since the last review.

Frequently Asked Questions about review-lessons

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

FAQPage Schema

How do I audit accumulated lessons in memory files to promote shared guidance?▼

To audit accumulated lessons, this skill scans memory files and project instructions to categorize findings into groups like 'Promote', 'Outdated', and 'Trim from guidance'. It systematically identifies valuable insights for your central knowledge base.

What is the best way to manage code review insights across project directories?▼

Managing code review insights is streamlined by categorizing lessons from files like CLAUDE.md into 'Project-specific' or 'Already covered'. This maintains guidance relevance by promoting recurring solutions and pruning outdated information.

How does knowledge management for AI learning handle outdated instructions?▼

Knowledge management for AI learning handles outdated instructions by auditing project files and categorizing obsolete entries as 'Outdated' or 'Trim from guidance'. This ensures your shared guidance remains accurate and relevant.

Can I scan CLAUDE.md and MEMORY.md files to identify best practices?▼

Yes, you can scan CLAUDE.md and MEMORY.md files to identify best practices. The skill analyzes these project directories and AI configurations to extract recurring solutions, promoting them to shared guidance for team use.

When do I need to run a knowledge audit on my project files?▼

You need to run a knowledge audit after a series of complex coding tasks. This identifies recurring solutions or best practices that should be added to your team's central knowledge base and prunes outdated information.

Does knowledge management for AI learning require external dependencies?▼

No, knowledge management for AI learning does not require external dependencies. It operates independently to audit accumulated lessons in memory and project files, categorizing findings to streamline your shared guidance.