learn

Review, search, prune, and export learnings across gstack sessions.

Updated Apr 12, 2026
One-click install
npx skills add https://github.com/2300031147/clawopencode --skill learn-2300031147
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: learn
Source: https://github.com/2300031147/clawopencode/tree/main/skills/learn
Command: npx skills add https://github.com/2300031147/clawopencode --skill learn-2300031147

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manage project learnings. Review, search, prune, and export what gstack has learned across sessions. Use when asked to "what have we learned", "show learnings", "prune stale learnings", or "export learnings". Proactively suggest when the user asks about past patterns or wonders "didn't we fix this before?"

Core Features & Use Cases

  • Review learnings across sessions
  • Search and prune stale entries
  • Export learnings for sharing or analysis
  • Proactively surface patterns when relevant to user questions

Quick Start

Ask me to show learnings with '/learn' or search with '/learn search <query>' to find patterns across sessions.

Frequently Asked Questions about learn

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

FAQPage Schema
How do I search past project learnings across multiple sessions?

You can search past project learnings across multiple sessions by querying a structured learnings store with memory indexing, recalling patterns and decisions via a search interface, and leveraging cross-session analytics through the gstack workflow.

What is the best way to manage and prune stale knowledge from project memory?

The best way to manage and prune stale knowledge is to use a dedicated prune interface within the gstack memory layer, reviewing and removing outdated entries from the structured learnings store to keep cross-session analytics relevant.

How do I export captured learnings for cross-session analysis and sharing?

You export captured learnings for cross-session analysis by using the export capabilities built into the gstack workflow, outputting indexed patterns and decisions from the structured learnings store for external sharing or review.

Can I proactively surface past decisions when a relevant problem reoccurs?

Yes, you can proactively surface past decisions and patterns when a relevant problem reoccurs by leveraging memory indexing and cross-session analytics to automatically recall previously captured learnings from the structured store.

Does this approach require a specific memory layer to organize branch learnings?

Yes, organizing branch learnings requires the gstack memory layer and a structured learnings store to index patterns, search entries, and support cross-session analytics across multiple projects and branches.