learn

Aggregate and organize project learnings across sessions via gstack.

Updated Apr 24, 2026
One-click install
npx skills add https://github.com/MissTully/Gstack --skill learn-misstully
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: learn
Source: https://github.com/MissTully/Gstack/tree/main/learn
Command: npx skills add https://github.com/MissTully/Gstack --skill learn-misstully

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Aggregate and organize project learnings across sessions to preserve institutional knowledge.

Core Features & Use Cases

  • Review past learnings and prune stale notes to keep a compact knowledge base.
  • Search across sessions to surface patterns and decision rationales.
  • Export learnings into reports or documents for sharing with stakeholders.
  • Real-world use: after a project retro, export a 1-page learnings summary for the team.

Quick Start

Ask me to show learnings or export a summary.

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?▼

You can capture and organize project learnings across sessions by using a dedicated learnings store to aggregate institutional knowledge. This preserves decision rationales and team knowledge for future review.

What is the best way to search past project decisions and surface patterns?▼

The best way to search past project decisions is to query an aggregated learnings knowledge base. This surfaces historical patterns and rationales across sessions without manual digging.

How do I export a retrospective summary to share with stakeholders?▼

To export a retrospective summary, you can generate a compiled report from your stored learnings. This creates a shareable document of past decisions for stakeholders.

Can I prune stale notes to keep my knowledge base compact?▼

Yes, you can prune stale notes to maintain a compact knowledge base. Reviewing and removing outdated items ensures your institutional knowledge stays relevant and actionable.

Does this approach work for preserving institutional knowledge for engineering teams?▼

Yes, preserving institutional knowledge works effectively for engineering and product teams. It aggregates technical learnings and past decisions to prevent repeated mistakes across sessions.