by inference-sh-9
此技能使 AI 代理能够使用 Tavily 和 Exa AI 驱动的搜索 API 搜索网络并从 URL 提取内容。它为事实核查、内容聚合和构建 RAG 管道提供研究功能。
1. 打开 Claude 聊天界面
2. 点击下方 "📋 复制" 按钮
3. 粘贴到 Claude 聊天框中并发送
4. 输入 "使用 web-search 技能" 开始使用
=== web-search 技能 === 作者: inference-sh-9 描述: 此技能使 AI 代理能够使用 Tavily 和 Exa AI 驱动的搜索 API 搜索网络并从 URL 提取内容。它为事实核查、内容聚合和构建 RAG 管道提供研究功能。 使用方法: 1. 调用技能: "使用 web-search 技能" 2. 提供相关信息: 根据技能要求提供必要参数 3. 查看结果: 技能会返回处理结果 示例: "使用 web-search 技能,帮我分析一下这段代码"
这种方法适用于所有 Claude 用户,不需要安装额外工具。
research
safe
Search the web and extract content via inference.sh CLI.

curl -fsSL https://cli.inference.sh | sh && infsh login
# Search the web
infsh app run tavily/search-assistant --input '{"query": "latest AI developments 2024"}'
Install note: The install script only detects your OS/architecture, downloads the matching binary from
dist.inference.sh, and verifies its SHA-256 checksum. No elevated permissions or background processes. Manual install & verification available.
| App | App ID | Description |
|---|---|---|
| Search Assistant | tavily/search-assistant | AI-powered search with answers |
| Extract | tavily/extract | Extract content from URLs |
| App | App ID | Description |
|---|---|---|
| Search | exa/search | Smart web search with AI |
| Answer | exa/answer | Direct factual answers |
| Extract | exa/extract | Extract and analyze web content |
infsh app run tavily/search-assistant --input '{
"query": "What are the best practices for building AI agents?"
}'
Returns AI-generated answers with sources and images.
infsh app run tavily/extract --input '{
"urls": ["https://example.com/article1", "https://example.com/article2"]
}'
Extracts clean text and images from multiple URLs.
infsh app run exa/search --input '{
"query": "machine learning frameworks comparison"
}'
Returns highly relevant links with context.
infsh app run exa/answer --input '{
"question": "What is the population of Tokyo?"
}'
Returns direct factual answers.
infsh app run exa/extract --input '{
"url": "https://example.com/research-paper"
}'
Extracts and analyzes web page content.
# 1. Search for information
infsh app run tavily/search-assistant --input '{
"query": "latest developments in quantum computing"
}' > search_results.json
# 2. Analyze with Claude
infsh app run openrouter/claude-sonnet-45 --input '{
"prompt": "Based on this research, summarize the key trends: <search-results>"
}'
# 1. Extract content from URL
infsh app run tavily/extract --input '{
"urls": ["https://example.com/long-article"]
}' > content.json
# 2. Summarize with LLM
infsh app run openrouter/claude-haiku-45 --input '{
"prompt": "Summarize this article in 3 bullet points: <content>"
}'
# Full platform skill (all 150+ apps)
npx skills add inference-sh/skills@inference-sh
# LLM models (combine with search for RAG)
npx skills add inference-sh/skills@llm-models
# Image generation
npx skills add inference-sh/skills@ai-image-generation
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