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使用 Exa 神经搜索进行网页、代码、公司与人物的深度研究检索。
复制安装指令，让 AI 自动完成配置 · 推荐新手
请帮我安装 askskill 上的 "exa-search" 技能： 1. 下载 https://raw.githubusercontent.com/affaan-m/ECC/main/skills/exa-search/SKILL.md 2. 保存为 ~/.claude/skills/exa-search/SKILL.md 3. 装好后重载技能，告诉我可以用了
请用 Exa 搜索“Node.js 调用向量数据库的最佳实践”，整理 5 篇高质量资料，并附上可参考的代码示例链接与要点总结。
返回精选资料清单、相关代码示例链接，以及结构化的实践建议总结。
请用 Exa 深度搜索一家 AI 初创公司，汇总其产品定位、融资情况、核心团队、官网与近期新闻，并标注信息来源。
输出公司情报摘要，包含关键信息、来源链接和可快速浏览的研究结论。
请用 Exa 搜索“开源大模型推理优化”领域的活跃研究者或工程师，列出他们的简介、代表内容和公开主页。
给出人物名单、背景简介、代表成果与对应公开链接，便于后续跟进。
Drift-prone skill. Exa MCP tool names, parameters, and account limits can change. Confirm the exposed tool surface and current Exa docs before relying on a specific search mode, category, or livecrawl behavior.
Neural search for web content, code, companies, and people via the Exa MCP server.
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.
General web search for current information, news, or facts.
web_search_exa(query: "latest AI developments 2026", numResults: 5)
Parameters:
| Param | Type | Default | Notes |
|---|---|---|---|
query | string | required | Search query |
numResults | number | 8 | Number of results |
type | string | auto | Search mode |
livecrawl | string | fallback | Prefer live crawling when needed |
category | string | none | Optional focus such as company or research paper |
Find code examples and documentation from GitHub, Stack Overflow, and docs sites.
get_code_context_exa(query: "Python asyncio patterns", tokensNum: 3000)
Parameters:
| Param | Type | Default | Notes |
|---|---|---|---|
query | string | required | Code or API search query |
tokensNum | number | 5000 | Content tokens (1000-50000) |
web_search_exa(query: "Node.js 22 new features", numResults: 3)
get_code_context_exa(query: "Rust error handling patterns Result type", tokensNum: 3000)
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)
web_search_exa(query: "WebAssembly component model status and adoption", numResults: 5)
get_code_context_exa(query: "WebAssembly component model examples", tokensNum: 4000)
web_search_exa for current information, company lookups, and broad discoverysite:, quoted phrases, and intitle: to narrow resultstokensNum (1000-2000) for focused code snippets, higher (5000+) for comprehensive contextget_code_context_exa when you need API usage or code examples rather than general web pagesdeep-research — Full research workflow using firecrawl + exa togethermarket-research — Business-oriented research with decision frameworks通过双评审智能体对结果进行对抗式校验，提升输出发布前的可靠性
提供实时网页与代码搜索，辅助公司研究和信息检索。