learn

Captures session learnings into persistent project memory via parallel sub-agents.

Updated Dec 17, 2025
One-click install
npx skills add https://github.com/eprouveze/HealthPulse --skill learn-eprouveze
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: learn
Source: https://github.com/eprouveze/HealthPulse/tree/main/.agent/skills/learn
Command: npx skills add https://github.com/eprouveze/HealthPulse --skill learn-eprouveze

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Captures session learnings into persistent project memory to accelerate future work.

Core Features & Use Cases

  • Spawns parallel sub-agents to analyze context, extract solutions, find related docs, and classify learnings.
  • Stores solutions in docs/solutions/ for future reference.
  • Use after completing a feature, fixing a tricky bug, or when the user says "what did we learn", "capture this", or "remember this".
  • Supports multi-LLM mode via Gemini CLI to preserve token limits.

Quick Start

After finishing a feature or bug fix, say "what did we learn" to trigger the learn process.

Frequently Asked Questions about learn

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

FAQPage Schema
How do I capture session learnings into persistent project memory?▼

Trigger the learning capture process by saying "what did we learn" or "capture this" after completing a feature or fixing a bug. The system spawns parallel sub-agents to analyze context and store extracted solutions in docs/solutions/ for future reference.

When should I apply session analysis to extract project knowledge?▼

Apply session analysis after completing a feature, fixing a tricky bug, or when you need to classify learnings. It extracts solutions and finds related docs to accelerate future work by preserving project knowledge.

Can I use multi-LLM mode to preserve token limits during knowledge capture?▼

Yes, knowledge capture supports multi-LLM mode via Gemini CLI to preserve token limits. This allows parallel sub-agents to analyze context and extract solutions efficiently without exceeding token constraints.

What is the best way to store project solutions for future reference?▼

The best way to store project solutions is using automated knowledge capture. It classifies learnings and stores extracted solutions directly in the docs/solutions/ directory, creating a persistent project memory for future reference.

Does capturing project knowledge require any external dependencies?▼

No external dependencies are required for capturing project knowledge. The system operates independently to spawn sub-agents that analyze context, find related docs, and store solutions in your project directory.