learn

Centralize and organize project learnings from gstack sessions into learnings.jsonl.

Updated Aug 23, 2026

Search Tags:#search #knowledge #export #learn #prune #project-learnings

Ready to run

npx skills add https://github.com/bananaduck1/storylab --skill learn-bananaduck1

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: learn
Source: https://github.com/bananaduck1/storylab/tree/main/.claude/skills/gstack/learn
Command: npx skills add https://github.com/bananaduck1/storylab --skill learn-bananaduck1

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manage project learnings. This Skill helps teams capture, organize, search, prune, and export learnings from gstack sessions, reducing repeated mistakes and enabling faster iteration across projects.

Core Features & Use Cases

Centralize learnings across sessions into a single learnings store (learnings.jsonl) for easy review.
Search, deduplicate, and prune stale or conflicting entries to keep knowledge fresh.
Export learnings to documentation or CLAUDE.md to share insights with the team.
Proactively surface patterns and insights from past work to guide decisions.

Quick Start

Run /learn to view recent learnings or /learn search <query> to find specific insights

Frequently Asked Questions about learn

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

FAQPage Schema

How do I capture and organize project learnings across multiple sessions?▼

To capture project learnings across sessions, run /learn to view recent entries or /learn search <query> to find specific insights. The Skill centralizes patterns, pitfalls, and decisions into a structured JSONL store for easy review and deduplication.

What is the best way to export project learnings to team documentation?▼

The best way to export project learnings to team documentation is using the /learn export command. This workflow translates captured insights into formats like CLAUDE.md, enabling teams to share documented patterns and decisions efficiently.

How do I search and prune stale knowledge entries from my project files?▼

You can search and prune stale knowledge entries by running /learn search <query> to locate specific insights. The Skill supports deduplication and pruning workflows to identify and remove conflicting or outdated entries from your learnings store.

Where are project learnings and session patterns stored on my system?▼

Project learnings and session patterns are stored locally in a structured JSONL format under the path ~/.gstack/projects/${SLUG}/learnings.jsonl. This centralizes the data for subsequent review, search, and export workflows.

Can I use this to surface past experimental patterns to guide current team decisions?▼

Yes, you can surface past experimental patterns to guide team decisions. The Skill proactively analyzes stored learnings from previous sessions, surfacing relevant insights and documented pitfalls to inform and accelerate current project iteration.

Does this Skill require any external dependencies to manage session knowledge?▼

No external dependencies are required to manage session knowledge. The Skill operates independently using built-in analytics and prompts, relying solely on the local learnings.jsonl file to store and process your project's captured data.