exa

Perform semantic search and content retrieval against the Exa API.

64|6|Updated Jan 26, 2026
One-click install
npx skills add https://github.com/Dianel555/DSkills --skill exa-dianel555
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: exa
Source: https://github.com/Dianel555/DSkills/tree/main/skills/exa
Command: npx skills add https://github.com/Dianel555/DSkills --skill exa-dianel555

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires httpx, tenacity, and includes scripts (resource) components.

What problem does it solve?

Exa enables fast, precise semantic search and content retrieval from diverse sources, reducing time wasted on keyword-based discovery and enabling deeper research insights.

Core Features & Use Cases

  • Semantic web search, code context lookup, and company research via Exa API.
  • URL content extraction, document summaries, and task acceleration for academic and professional research.
  • Supports configurable API URL and API key with retry logic and robust error handling to cope with network issues.

Quick Start

Ask Exa to perform a semantic search for "AI safety" and return the top 5 results.

Frequently Asked Questions about exa

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

FAQPage Schema
How do I perform semantic web search and retrieve specific content?

Semantic web search and content retrieval are performed against the Exa API using configurable parameters and commands for search, contents, context, and research task management.

Can I extract code context and company research data using semantic search?

Yes, semantic search supports code context extraction, company research, and LinkedIn profile lookups to retrieve precise technical, business, and academic domain data.

Do I need an API key to use the Exa API for data extraction?

Yes, an API key is required to use the Exa API for data extraction, and an optional API URL (EXA_API_URL) can be configured to customize the endpoint.

How does the Exa API handle network issues during content retrieval?

Network issues during content retrieval are handled using tenacity-based retry logic and robust error handling to ensure requests against the Exa API succeed.

What is the best way to automate URL content extraction for academic research?

Automating URL content extraction for academic research is best handled by executing configurable API requests that retrieve document summaries and task acceleration outputs.

What are the limitations of using semantic search for deep research?

Limitations of semantic search for deep research include dependency on external API availability and the necessity of providing a valid API key for successful data extraction.