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Faeif
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learn

Consolidate gstack session learnings into per-project artifacts for review, search, prune, and export.

Updated Aug 23, 2026
Search Tags:#search#sessions#learnings#export#learn#gstack
One-click install
npx skills add https://github.com/Faeif/linguaquest --skill learn-faeif
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: learn
Source: https://github.com/Faeif/linguaquest/tree/main/.claude/skills/gstack/learn
Command: npx skills add https://github.com/Faeif/linguaquest --skill learn-faeif

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Consolidate and surface project learnings from gstack sessions to prevent insights from being lost and to enable reuse across teams and projects.

Core Features & Use Cases

  • Centralized learnings repository per project, with indexed search and pruning of stale items.
  • Export learnings to JSONL/CSV for sharing with teammates and future retrospectives.
  • Proactive suggestions when patterns repeat across sessions to accelerate improvement.

Quick Start

Run a summary of recent learnings for the current project and session.

Frequently Asked Questions about learn

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

FAQPage Schema
How do I consolidate project learnings across multiple sessions?▼

To consolidate project learnings across sessions, this tool surfaces insights from gstack sessions into a centralized repository. It prevents lost knowledge by storing learnings in per-project artifacts for later review and reuse.

How do I export project learnings to JSONL or CSV?▼

You can export project learnings to JSONL or CSV formats for sharing with teammates. This enables future retrospectives by packaging session insights into portable, structured data files.

Can I search and prune stale learnings within a project repository?▼

Yes, you can search the centralized learnings repository and prune stale items. This keeps project knowledge indexed and relevant by removing outdated insights during post-session reviews.

How do I capture post-session learnings to prevent lost insights?▼

Capturing post-session learnings is done by running a summary of recent sessions. This applies during post-session reviews to store insights in per-project artifacts, ensuring knowledge is retained.

Does this tool detect when patterns repeat across different sessions?▼

Yes, it provides proactive suggestions when patterns repeat across sessions. This mechanism accelerates improvement by identifying recurring insights and making them available for cross-project reuse.

What is the best way to share session learnings with my team?▼

The best way to share session learnings is to export them to JSONL or CSV. This allows teammates to review centralized project knowledge and apply insights during future retrospectives.

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