Perform Semantic Search and Content Discovery
Claude Code skill wrapping the Exa API for semantic search, similar-content discovery, and category-filtered research (companies, people, papers).
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Why it matters
Leverage semantic search and content discovery capabilities to find similar information and conduct structured research. This skill is ideal for tasks requiring embeddings-based search across various categories.
Outcomes
What it gets done
Perform semantic search using Exa API.
Discover similar content based on embeddings.
Conduct structured research by category (e.g., companies, research papers).
Extract relevant information for further analysis.
Install
Add it to your toolbox
Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/ag-exa-search | bash After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.
Reports
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Overview
Exa Search
exa-search is a Claude Code skill that wraps the Exa API for semantic (embeddings-based) search, similar-content discovery, and category-filtered research across companies, people, research papers, and similar entity types. It requires an Exa API key configured as an environment variable. Use it when a search needs to match on meaning rather than exact keywords, or needs to be scoped to a category like companies or research papers; for plain keyword/web search use tavily-web or firecrawl-scraper instead, per the skill's own related-skills list.
What it does
exa-search is a Claude Code skill that wraps the Exa API for semantic (embeddings-based) search, finding content similar to a given piece, and structured research filtered by category - companies, people, research papers, and similar entity types.
When to use - and when NOT to
Use it when a search needs to match on meaning rather than exact keywords, when the goal is to find content similar to something you already have, or when results need to be scoped to a specific category like companies, people, or research papers. It requires an Exa API key, configured via environment variables. For general keyword or web search rather than semantic/category search, the skill's own related-skills list points instead to tavily-web or firecrawl-scraper; for library/API documentation lookup it points to context7-auto-research.
Inputs and outputs
Input is a natural-language query, plus an Exa API key set as an environment variable; output is Exa's search results - semantically matched content, similar-content matches, or category-filtered results - used directly inside a Claude Code conversation.
Integrations
npx skills add -g BenedictKing/exa-search
After installing, configure the Exa API key and use the skill naturally in conversation - no separate setup step beyond the key. It's designed to sit alongside related research skills (context7-auto-research, tavily-web, firecrawl-scraper, codex-review) rather than replace them.
Who it's for
Developers using Claude Code who need semantic or category-scoped web research - beyond plain keyword search - and are willing to hold an Exa API key for it. As with any skill, its own limitations note that output should not substitute for environment-specific validation, testing, or expert review, and that the agent should stop and ask when required inputs, permissions, or success criteria are missing.
FAQ
Common questions
Discussion
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