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exa-search

Perform semantic web searches and extract academic PDF content via the Exa search engine.

2|Updated Jun 4, 2026
Search Tags:#research#academic#search#science#extraction#web
One-click install
npx skills add https://github.com/Lord1Egypt/scientific-agent-toolkit --skill exa-search-lord1egypt
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: exa-search
Source: https://github.com/Lord1Egypt/scientific-agent-toolkit/tree/main/scientific-skills/exa-search
Command: npx skills add https://github.com/Lord1Egypt/scientific-agent-toolkit --skill exa-search-lord1egypt

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires exa-py, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill solves the challenge of finding high-quality, scholarly information on the web and extracting content from complex URLs without the noise of general-purpose search engines.

Core Features & Use Cases

  • Academic Search: Leverages Exa's semantic retrieval to find peer-reviewed papers, preprints, and institutional data.
  • Batch Extraction: Fetches full-text content from multiple URLs, including academic PDFs, in a single operation.
  • Use Case: Use this to perform a literature review by searching for specific research topics with academic filtering and then extracting the full text of the top-ranked papers for analysis.

Quick Start

Use the exa-search skill to find recent research papers on transformer architectures and extract their full text into a json file.

Frequently Asked Questions about exa-search

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

FAQPage Schema
How do I extract full text from academic PDFs in batch?▼

Academic search leverages semantic retrieval to find peer-reviewed papers, preprints, and institutional data. It uses scholarly filtering to eliminate the noise typical of general-purpose search engines.

Do I need an API key to use Exa for scholarly web searches?▼

Batch extraction fetches full-text content from multiple URLs, including academic PDFs, in a single operation. You provide the URLs, and the extraction processes the content simultaneously rather than individually.

How do I filter web search results for scientific and technical research?▼

You can apply scholarly filtering and domain-specific allowlists to optimize semantic web searches for scientific and technical research. This narrows results to relevant academic sources and institutional domains.

What is the best way to perform a literature review using semantic search?▼

The best way is to search for specific research topics using academic filtering, then extract the full text of the top-ranked papers. This retrieves peer-reviewed papers and preprints without general search engine noise.

Can I restrict my search to specific academic domains?▼

Yes, domain-specific allowlists allow you to restrict searches to designated academic domains. This ensures the semantic retrieval only returns results from the scholarly sources you trust.

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