capturing-session-knowledge

Summarizes session learnings and writes them to docs/ai/project-learnings.md.

3|Updated Apr 7, 2026

Search Tags:#documentation #onboarding #knowledge management #ai agents #capture #session learnings #project learnings

Ready to run

npx skills add https://github.com/mordonez/ldev --skill capturing-session-knowledge

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: capturing-session-knowledge
Source: https://github.com/mordonez/ldev/tree/main/templates/ai/skills/capturing-session-knowledge
Command: npx skills add https://github.com/mordonez/ldev --skill capturing-session-knowledge

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Use at the end of a session to save learnings that prevent future mistakes and improve efficiency.

Core Features & Use Cases

Distill session learnings into concise, actionable insights that guide the next agent.
Writes to docs/ai/project-learnings.md to persist knowledge across sessions and onboarding.
Helps reduce repeated mistakes by capturing project-specific patterns and best practices.

Quick Start

Run this at the end of a session to distill learnings and update docs/ai/project-learnings.md with a new entry.

Frequently Asked Questions about capturing-session-knowledge

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

FAQPage Schema

How do I capture AI agent session learnings to prevent repeated mistakes?▼

To capture session learnings, you can use a knowledge management process that summarizes actionable insights and persists them to a project learnings file. This prevents future AI agents from repeating the same errors.

What is the best way to document project learnings for new team member onboarding?▼

Documenting project learnings involves summarizing session insights and saving them to a shared markdown file. This creates a persistent knowledge base that improves onboarding for new team members by providing project-specific patterns.

How does knowledge management for AI agents work across multiple sessions?▼

Knowledge management for AI agents works by distilling session context into concise insights and writing them to a designated project learnings document. This persisted knowledge then guides future runs across multiple sessions.

Do I need external inputs to capture session learnings into a knowledge base?▼

Capturing session learnings requires no external inputs beyond the current session context. It automatically extracts project learnings and updates the designated markdown documentation file without additional configuration.

Where are summarized project learnings stored for future AI agent runs?▼

Summarized project learnings are stored in docs/ai/project-learnings.md. Writing to this designated markdown file ensures the knowledge persists across sessions and remains accessible for future agent runs and onboarding.