exa-search
Performs semantic searches and discovers similar content. It's useful when you need to find related information or search by specific categories.
What it does
This tool helps you find information online intelligently. It searches for content similar to what you're looking for, even if the exact words are different, and can search for specific types of things like companies or research papers.
When to use it
- ✓When you want to find content similar to text you already have.
- ✓When you need to research a specific category like companies or research papers.
- ✓When you want a smarter search than just keywords.
Example of what to ask your AI
“Find articles about artificial intelligence similar to this: [paste text here]”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
You tell it what you want to search for. The tool uses special technology to understand the meaning of your request and finds relevant results online, even if they don't use the same words. It shows you the sources of what it found.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill exa-searchOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/exa-search/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
exa-search
Overview
Semantic search, similar content discovery, and structured research using Exa API
When to Use
- When you need semantic/embeddings-based search
- When finding similar content
- When searching by category (company, people, research papers, etc.)
Installation
npx skills add -g BenedictKing/exa-search
Step-by-Step Guide
- Prefer an already configured Exa connector; this entrypoint does not bundle an API client or authorize a global installation.
- Configure Exa API key
- Define query, date range and source type. Run the smallest authorized search through the actual available tool, inspect primary sources, and return cited findings with uncertainties. Do not claim returned search snippets establish facts by themselves.
Examples
See GitHub Repository for examples.
Best Practices
- Configure API keys via environment variables
Troubleshooting
See the GitHub repository for troubleshooting guides.
Related Skills
- context7-auto-research, tavily-web, firecrawl-scraper, codex-review
Limitations
- Query and retrieved content may be sent to an external service. Do not include secrets or private customer information without authorization; confirm paid usage scope.
- Search ranking is not evidence quality. Verify material claims at the linked source and report incomplete or unavailable retrieval honestly.
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
FAQ
Do I need to pay to use it?
Usage may involve costs as it uses an external service. It's important to check the terms and not send sensitive information without permission.
Are the results always true?
The results show what was found, but they are not definitive proof. It's always good to verify the information from the original sources.
How do I set it up?
You need to configure an Exa API key and define what you want to search for, such as dates and source types.
Details
Original description by the author
Semantic search, similar content discovery, and structured research using Exa API. Use when you need semantic/embeddings-based search, finding similar content, or searching by category (company, people, research papers, etc.).
Popularity
- GitHub stars
- 48k
- Ranking position
- #2948
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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