exa-search
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.).
About this skill
The `exa-search` skill empowers AI agents to perform sophisticated information retrieval using the Exa API. It excels at semantic/embeddings-based search, allowing users to find content based on meaning rather than just keywords. Additionally, it supports discovering similar content and conducting structured research by filtering results into specific categories such as companies, people, or research papers. This skill significantly enhances an agent's ability to understand and retrieve highly relevant information from a vast web corpus efficiently and with greater precision.
Best use case
Information retrieval based on semantic understanding, identifying related content, and organizing search results by predefined categories (e.g., companies, people, research papers).
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.).
Highly relevant search results based on semantic meaning, lists of similar documents or articles, and structured search outcomes categorized by specified entity types like companies, individuals, or academic papers.
Practical example
Example input
Find recent research papers on transformer models published in the last year that are similar to 'Attention Is All You Need'.
Example output
```json
{
"query": "recent research papers on transformer models similar to 'Attention Is All You Need'",
"category_filter": "research papers",
"results": [
{
"title": "A Survey of Large Language Models",
"url": "https://arxiv.org/abs/2303.18223",
"summary": "This paper provides a comprehensive survey of large language models, discussing their architectures, training methodologies, and applications, with a focus on transformer-based models.",
"similarity_score": 0.92
},
{
"title": "Generative Pre-trained Transformers (GPT-3): A Critical Review",
"url": "https://doi.org/10.1007/s10994-022-06103-y",
"summary": "An in-depth review of the GPT-3 architecture, its capabilities, limitations, and societal implications, highlighting its transformer foundation.",
"similarity_score": 0.88
}
],
"message": "Search completed successfully with semantic matching and category filter."
}
```When to use this skill
- When you need semantic/embeddings-based search.
- When finding similar content.
- When searching by category (company, people, research papers, etc.).
When not to use this skill
- For simple keyword lookups where semantic understanding is not required.
- When retrieving real-time data or highly dynamic content not indexed by Exa.
- When the task is not information retrieval or content discovery, such as data analysis or code generation.
- When an internet connection or Exa API access is unavailable.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/exa-search/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How exa-search Compares
| Feature / Agent | exa-search | Standard Approach |
|---|---|---|
| Platform Support | Claude | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | easy | N/A |
Frequently Asked Questions
What does this skill do?
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.).
Which AI agents support this skill?
This skill is designed for Claude.
How difficult is it to install?
The installation complexity is rated as easy. You can find the installation instructions above.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# 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 ```bash npx skills add -g BenedictKing/exa-search ``` ## Step-by-Step Guide 1. Install the skill using the command above 2. Configure Exa API key 3. Use naturally in Claude Code conversations ## Examples See [GitHub Repository](https://github.com/BenedictKing/exa-search) 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
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