lesson-capture

Capture operational lessons into structured files with frontmatter under lessons/ directories.

Updated Mar 5, 2026
One-click install
npx skills add https://github.com/Nathanto-ai/liza-private --skill lesson-capture
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: lesson-capture
Source: https://github.com/Nathanto-ai/liza-private/tree/main/skills/lesson-capture
Command: npx skills add https://github.com/Nathanto-ai/liza-private --skill lesson-capture

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps teams record project-specific operational lessons from mistakes, discoveries, and hard-won insights, preserving knowledge to prevent repeating issues.

Core Features & Use Cases

  • Centralized lesson records by audience (agents and humans) for quick reference
  • Structured frontmatter per lesson to enable consistent discovery and indexing
  • Read during session initialization to guide future actions and improve workflows

Quick Start

Capture a recent operational lesson and save it under lessons/agents/ or lessons/humans/ depending on the audience

Frequently Asked Questions about lesson-capture

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

FAQPage Schema
How do I capture project lessons and operational knowledge for future reuse?

You capture project lessons by recording specific mistakes, discoveries, and hard-won insights into structured files with standardized frontmatter. These operational knowledge files are then organized into dedicated directories to ensure consistent discovery and indexing for future reuse.

What is the best way to document project lessons for both AI agents and humans?

Documenting project lessons for agents and humans requires centralizing records by audience, saving them into separate structured directories. This ensures that both groups can quickly reference the specific operational knowledge relevant to their workflows during session initialization.

How do I structure markdown files for knowledge management and lesson discovery?

To structure markdown files for lesson discovery, you must apply standardized frontmatter to each file. This metadata enables consistent indexing and allows knowledge management systems to easily parse and surface the captured project lessons during future sessions.

Can I use standard markdown to record project-specific mistakes and discoveries?

Yes, you can use standard markdown to record project-specific mistakes and discoveries. The capture process relies on markdown formatting combined with standardized frontmatter to ensure the operational knowledge is structured correctly for automated discovery and human readability.

When do I need to save operational knowledge under specific lessons directories?

You need to save operational knowledge under specific lessons directories immediately after identifying a mistake, discovery, or hard-won insight. Placing these structured files in the correct directory ensures the knowledge is preserved and can guide future actions across agents and humans.

Does organizing project lessons by audience improve workflow initialization?

Organizing project lessons by audience improves workflow initialization by allowing agents and humans to read only the relevant structured files. This targeted knowledge reuse prevents repeating past issues and directly guides future actions within their specific operational context.