learn

Research topics via Exa deep researcher and web search into a provenance-rich knowledge graph.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/hellofrommorgan/intent-computer --skill learn-hellofrommorgan
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: learn
Source: https://github.com/hellofrommorgan/intent-computer/tree/main/packages/plugin/src/skill-sources/learn
Command: npx skills add https://github.com/hellofrommorgan/intent-computer --skill learn-hellofrommorgan

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

Research tasks become tractable by systematically investigating topics and building a provenance-rich knowledge graph from diverse sources, then chaining results into processing pipelines.

Core Features & Use Cases

  • Uses Exa deep researcher, web search, or basic search to investigate topics.
  • Produces results with full provenance and integrates them into downstream processing pipelines.
  • Triggers on /learn, /learn [topic], "research this", "find out about" to start a session and expand the knowledge graph.

Quick Start

Provide a topic after /learn to begin researching.

Frequently Asked Questions about learn

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

FAQPage Schema
How do I build a provenance-rich knowledge graph through systematic topic research?▼

To build a provenance-rich knowledge graph, trigger a research session using commands like /learn [topic]. The Skill leverages Exa deep researcher and web search to investigate topics, capturing full source provenance for downstream processing pipelines.

What is the best way to investigate a topic and capture full source provenance?▼

Using trigger phrases like 'research this' or 'find out about' starts a session that orchestrates Exa deep researcher and basic search. This systematically investigates topics while tracking all source origins to expand your knowledge graph.

Can I chain my web search results into downstream processing pipelines?▼

Yes, you can chain web search results into downstream processing pipelines. Research sessions produce results with full provenance specifically designed for integration into configurable knowledge-work workflows and downstream pipeline actions.

Does this research workflow support configurable depth for topic investigation?▼

Yes, the research workflow supports configurable depth for topic investigation. It orchestrates Exa deep researcher, web search, and basic search to satisfy diverse knowledge-work workflow requirements and accommodate varying investigation depths.

How do I start a research session to expand my knowledge graph?▼

You start a research session by providing a topic immediately after the /learn command. This triggers tool orchestration to systematically investigate the subject and integrate the findings into your knowledge graph.

When do I need to use a deep researcher instead of basic search for knowledge graph generation?▼

You need a deep researcher for complex topic investigation requiring systematic, provenance-rich knowledge graph generation. Basic search handles simpler queries, while deep research satisfies advanced tool orchestration and pipeline chaining requirements for knowledge-work workflows.