capture-learnings

Extract key learnings, decisions, and feedback from conversation history.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/acabreragnz/dotfiles --skill capture-learnings-acabreragnz
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: capture-learnings
Source: https://github.com/acabreragnz/dotfiles/tree/main/.claude/skills/capture-learnings
Command: npx skills add https://github.com/acabreragnz/dotfiles --skill capture-learnings-acabreragnz

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you systematically capture and organize key takeaways from your conversations, ensuring valuable insights are not lost and can be easily referenced later.

Core Features & Use Cases

  • Conversation Analysis: Scans the current session for important information.
  • Duplicate Filtering: Compares potential learnings against existing documentation (CLAUDE.md, MEMORY.md) to avoid redundancy.
  • Structured Output: Presents learnings in a clear, concise format with "Qué" (What), "Por qué" (Why), and "Dónde" (Where) for easy understanding and storage.
  • Use Case: After a long project discussion, use this Skill to summarize the key decisions made, new tools discovered, and any feedback provided, saving them for future reference.

Quick Start

Use the capture-learnings skill to summarize the session's key takeaways.

Frequently Asked Questions about capture-learnings

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

FAQPage Schema
How do I extract key learnings and decisions from a long conversation history?

To capture session learnings, analyze the conversation history to extract and document key decisions, feedback, and insights. The skill filters out duplicate information already present in existing documentation and presents findings as a structured list for easy storage.

What is the best way to document session summaries without creating duplicate knowledge entries?

To avoid duplicate knowledge entries, compare potential learnings against existing documentation like CLAUDE.md or MEMORY.md. The skill filters redundant information and only presents new, relevant findings in a structured format.

How do I structure conversation analysis outputs for easy knowledge management?

Structure conversation analysis outputs by categorizing findings into a clear list indicating what was learned, why it is relevant, and where to save it. This format ensures valuable insights are not lost and can be easily referenced later.

Can I use this skill to summarize project discussions and capture feedback?

Yes, you can use this skill to summarize project discussions and capture feedback. After a long session, it scans the conversation for key decisions made, new tools discovered, and feedback provided, saving them for future reference.

Do I need any external dependencies or components to capture session learnings?

No external dependencies or components are required to capture session learnings. The skill operates independently to analyze conversation history and filter against local documentation files like CLAUDE.md and MEMORY.md.