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Exa search

Skill loulanyue/awesome-claude-notes/skills/exa-search

Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.From its SKILL.md

Install
npx -y skills add loulanyue/awesome-claude-notes --skill exa-search

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

3.3 KB, 807 tokens by cl100k_base, as published. Nobody here has run it

Exa Search

Neural search for web content, code, companies, and people via the Exa MCP server.

When to Activate

  • User needs current web information or news
  • Searching for code examples, API docs, or technical references
  • Researching companies, competitors, or market players
  • Finding professional profiles or people in a domain
  • Running background research for any development task
  • User says "search for", "look up", "find", or "what's the latest on"

MCP Requirement

Exa MCP server must be configured. Add to ~/.claude.json:

"exa-web-search": {
  "command": "npx",
  "args": ["-y", "exa-mcp-server"],
  "env": { "EXA_API_KEY": "YOUR_EXA_API_KEY_HERE" }
}

Get an API key at exa.ai. This repo's current Exa setup documents the tool surface exposed here: web_search_exa and get_code_context_exa. If your Exa server exposes additional tools, verify their exact names before depending on them in docs or prompts.

Core Tools

web_search_exa

General web search for current information, news, or facts.

web_search_exa(query: "latest AI developments 2026", numResults: 5)

Parameters:

ParamTypeDefaultNotes
querystringrequiredSearch query
numResultsnumber8Number of results
typestringautoSearch mode
livecrawlstringfallbackPrefer live crawling when needed
categorystringnoneOptional focus such as company or research paper

get_code_context_exa

Find code examples and documentation from GitHub, Stack Overflow, and docs sites.

get_code_context_exa(query: "Python asyncio patterns", tokensNum: 3000)

Parameters:

ParamTypeDefaultNotes
querystringrequiredCode or API search query
tokensNumnumber5000Content tokens (1000-50000)

Usage Patterns

Quick Lookup

web_search_exa(query: "Node.js 22 new features", numResults: 3)

Code Research

get_code_context_exa(query: "Rust error handling patterns Result type", tokensNum: 3000)

Company or People Research

web_search_exa(query: "Vercel funding valuation 2026", numResults: 3, category: "company")
web_search_exa(query: "site:linkedin.com/in AI safety researchers Anthropic", numResults: 5)

Technical Deep Dive

web_search_exa(query: "WebAssembly component model status and adoption", numResults: 5)
get_code_context_exa(query: "WebAssembly component model examples", tokensNum: 4000)

Tips

  • Use web_search_exa for current information, company lookups, and broad discovery
  • Use search operators like site:, quoted phrases, and intitle: to narrow results
  • Lower tokensNum (1000-2000) for focused code snippets, higher (5000+) for comprehensive context
  • Use get_code_context_exa when you need API usage or code examples rather than general web pages

Related Skills

  • deep-research — Full research workflow using firecrawl + exa together
  • market-research — Business-oriented research with decision frameworks

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Gives 6 of the 12 instructions most web research skills give in 807 tokens

Counted across 292 of the 300 authors here whose files we hold, read 2026-09-06

  • Use web_search_exa for current information and broad discoveryhere, and in 22 of 292, across 8 files
  • Cite every claim with a sourcein 21 of 292, across 18 files
  • Configure the Exa MCP server with an API keyhere, and in 18 of 292, across 5 files
  • Use get_code_context_exa for code examples and API docshere, and in 16 of 292, across 6 files
  • Verify exact tool names before depending on themhere, and in 13 of 292, across 4 files
  • Narrow results with site:, quoted phrase, and intitle: operatorshere, and in 13 of 292, across 4 files
  • Adjust tokensNum lower for snippets, higher for full contexthere, and in 13 of 292, across 4 files
  • Break the topic into 3-5 research sub-questionsin 13 of 292
  • Confirm current Exa docs and exposed tool surface before usein 11 of 292, across 2 files
  • Get user confirmation after Phase 1in 10 of 292, across 9 files
  • Prefer primary sources when availablein 10 of 292
  • Verify extracted metadata against original sourcesin 9 of 292, across 5 files

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.