A web search and content extraction skill built on Exa's API, optimized for scientific and technical queries. The main draw is the research paper filtering: you can pass category flags and domain allowlists to bias results toward arXiv, PubMed, Nature, and similar scholarly sources instead of generic SEO content. It wraps two Exa endpoints in Python CLI scripts, one for semantic search and one for batch URL extraction including PDFs. The routing guide in the source is clear about when to use search versus extract, and the academic source priority section gives you concrete domain lists and a two pass strategy for finding peer reviewed work. Useful if you're building research agents or just tired of wading through blog spam when you want actual papers.

skills.sh installs
1.8K
GitHub stars
56.6K
last updated
Aug 21, 2026

Install

$ npx -y skills add k-dense-ai/scientific-agent-skills --skill exa-search --agent claude-code

Installs into .claude/skills of the current project.

Files

Exa Web Toolkit

A skill for web-powered research tasks backed by Exa: web search and URL extraction. Exa's index combines high-quality keyword and semantic retrieval, which makes it well-suited to scientific, technical, and conceptual queries.

Routing — pick the right capability

Read the user's request and match it to one of the capabilities below. Read the corresponding reference file for detailed instructions before running commands.

User wants to...CapabilityWhere
Look something up, research a topic, find current infoWeb Searchreferences/web-search.md
Fetch content from a specific URL (webpage, article, PDF)Web Extractreferences/web-extract.md
Install or authenticateSetupBelow

Decision guide

Sponsors

Details

Repository
github.com/k-dense-ai/scientific-agent-skills
Categories
Code Review & Quality, AI & Agent Building, Data Science & ML, Automation & Workflows
First seen
Jun 3, 2026

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