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Research specified topics using Exa deep researcher and web search with provenance tracking.

20|5|Updated Nov 18, 2025
Search Tags:#research#knowledge graph#information retrieval#web search#learning#deep research
One-click install
npx skills add https://github.com/zby/llm-do --skill learn-zby
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: learn
Source: https://github.com/zby/llm-do/tree/main/arscontexta/skills/arscontexta-learn
Command: npx skills add https://github.com/zby/llm-do --skill learn-zby

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the process of researching topics, ensuring that knowledge is acquired efficiently and integrated into your personal knowledge graph.

Core Features & Use Cases

  • Automated Research: Investigates topics using various tools like Exa deep researcher, web search, or basic search.
  • Provenance Tracking: Files research results with full metadata for traceability.
  • Knowledge Integration: Chains research findings into a processing pipeline and updates personal goals.
  • Use Case: You need to understand the latest advancements in quantum computing. Use this Skill to research the topic, gather key findings, and have them automatically added to your knowledge base.

Quick Start

Research the topic of 'latest advancements in quantum computing' using the learn skill.

Frequently Asked Questions about learn

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

FAQPage Schema
How do I automate web search and research deep topics with provenance tracking?▼

Automated research uses a cascade of tools like Exa deep researcher and web search, filing results with provenance and metadata for traceability. Chained processing pipelines integrate these findings into your personal knowledge graph.

What is the best way to integrate new research directions into a personal knowledge graph?▼

Integrating new research directions into personal goals involves chaining research findings into a processing pipeline. The automated research process files results with full metadata, updating your knowledge base automatically.

Can I control research depth and tool selection for information retrieval?▼

Research depth and tool selection are managed based on configuration and explicit flags. The system selects between Exa deep researcher, web search, or basic search to match your specified information retrieval requirements.

How does deep research chain results to downstream processing?▼

Deep research chains results to downstream processing by filing gathered information with provenance and full metadata. This ensures traceability and integrates the findings directly into your personal goals and knowledge base.

Does automated research work without external dependencies?▼

Automated research operates with no listed dependencies, relying on internal scripts and references to execute web search and Exa deep researcher queries. It manages tool selection internally based on your configuration flags.

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