learn

Automate research and expand knowledge graphs with Exa search tools.

Updated Jul 3, 2026

Search Tags:#knowledge graph #research automation #provenance tracking #topic exploration #comprehensive research

Ready to run

npx skills add https://github.com/GiorgioRicciardiello/LabBrain --skill learn-giorgioricciardiello

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: learn
Source: https://github.com/GiorgioRicciardiello/LabBrain/tree/main/core/.claude/skills/learn
Command: npx skills add https://github.com/GiorgioRicciardiello/LabBrain --skill learn-giorgioricciardiello

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires exa-research-fast, exa-research, web-search, mcp__exa__web_search_exa, mcp__exa__deep_researcher_start, mcp__exa__deep_researcher_check, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the research process for a given topic, expanding your knowledge graph with well-sourced insights and connections.

Core Features & Use Cases

Comprehensive Research: Utilizes Exa deep researcher and web search tools for thorough topic investigation.
Full Provenance: Files results with detailed provenance, ensuring traceability and reliability.
Dynamic Depth: Adjusts research depth based on user input and system configuration.
Integration with Processing Pipeline: Automatically chains research results to the processing pipeline for further analysis.
Goal Update: Automatically updates research goals with new findings.

Quick Start

Run the "learn" command followed by a topic, e.g., learn artificial intelligence.

Frequently Asked Questions about learn

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

FAQPage Schema

How do I automate research and expand my knowledge graph with provenance tracking?▼

Automated research expansion with provenance tracking is done by triggering a command that invokes Exa deep researcher and web search tools, then outputs sourced insights into your knowledge graph with full traceability.

What's the best way to conduct comprehensive topic exploration with dynamic research depth?▼

Comprehensive topic exploration with dynamic depth is achieved by issuing a learn command followed by your topic, which adjusts research depth based on your input and system configuration before returning well-sourced results.

Can I use Exa deep researcher and web search tools together for knowledge graph expansion?▼

Yes, Exa deep researcher and web search tools are integrated together to perform thorough topic investigation, automatically chaining results to a processing pipeline for further knowledge graph analysis.

Does automated research output include provenance for traceability and reliability?▼

Automated research output includes full provenance, ensuring every finding filed into your knowledge graph is traceable and reliable, with research goals automatically updated as new findings are discovered.

How do I trigger research automation and topic exploration using a single command?▼

Research automation is triggered by running the learn command followed by a topic, such as learn artificial intelligence, which initiates deep research and dynamically adjusts depth based on your input.

What are the limitations of using automated research for knowledge graph expansion?▼

Automated research for knowledge graph expansion depends on Exa deep researcher and web search tool availability, and research depth is constrained by your system configuration and the dynamic adjustment logic applied to your input.