memories-learn

Extract actionable learnings from session transcripts into a semantic memory database.

6|1|Updated Feb 6, 2026
One-click install
npx skills add https://github.com/mahmoudimus/simba --skill memories-learn
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: memories-learn
Source: https://github.com/mahmoudimus/simba/tree/main/skills/memories-learn
Command: npx skills add https://github.com/mahmoudimus/simba --skill memories-learn

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the process of extracting valuable insights and actionable information from your Claude Code session transcripts, preventing knowledge loss and improving future sessions.

Core Features & Use Cases

  • Automated Learning Extraction: Identifies and categorizes key learnings from transcripts.
  • Semantic Memory Storage: Stores extracted learnings in a structured, queryable database.
  • Use Case: After a complex debugging session, this Skill can automatically save the successful commands, identified pitfalls, and design decisions, making them easily retrievable for future reference.

Quick Start

Instruct the AI to read the latest transcript and extract learnings into the semantic memory database.

Frequently Asked Questions about memories-learn

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

FAQPage Schema
How do I capture session learnings from transcripts into a knowledge base?

To capture session learnings from transcripts, this Skill extracts actionable insights such as working solutions, gotchas, and design decisions, then stores them in a semantic memory database for future recall.

How does semantic memory storage improve developer workflow knowledge retention?

Semantic memory storage improves knowledge retention by automatically categorizing extracted session learnings with specific context and confidence scores into a queryable database, preventing knowledge loss across future development sessions.

Can I extract debugging gotchas and patterns directly from a session transcript?

Yes, you can extract debugging gotchas and patterns directly from a session transcript. The Skill identifies and categorizes failures, preferences, and successful commands automatically from the transcript text.

What's the best way to automate knowledge retention from session transcripts?

The best way to automate knowledge retention from session transcripts is to instruct the AI to read the latest transcript and automatically extract learnings into the semantic memory database without manual data entry.

Do I need any external dependencies to store extracted learnings in a semantic memory database?

No external dependencies are required to store extracted learnings in a semantic memory database. The Skill operates independently using its built-in scripts to process transcripts and manage semantic memory storage.

What types of context are stored when extracting session learnings?

When extracting session learnings, the Skill stores specific context and confidence scores alongside categorized data such as working solutions, identified pitfalls, design decisions, failures, and developer preferences.