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.