web-search
Tìm kiếm web và trích xuất nội dung với Tavily và Exa thông qua CLI inference.sh. Ứng dụng: Tavily Search, Tavily Extract, Exa Search, Exa Answer, Exa Extract. Khả năng: tìm kiếm hỗ trợ AI, trích xuất nội dung, trả lời trực tiếp, nghiên cứu. Sử dụng cho: nghiên cứu, pipeline RAG, kiểm tra thông tin, tổng hợp nội dung, tác nhân. Kích hoạt: tìm kiếm web, tavily, exa, api tìm kiếm, trích xuất nội dung, nghiên cứu, tìm kiếm internet, tìm kiếm AI, trợ lý tìm kiếm, thu thập dữ liệu web, rag, thay thế perplexity
npx skills add https://github.com/qu-skills/skills --skill web-searchInstall the belt CLI skill:
npx skills add belt-sh/cli
Web Search & Extraction
Search the web and extract content via inference.sh CLI.

Quick Start
Requires inference.sh CLI (
belt). Install instructions
belt login
# Search the web
belt app run tavily/search-assistant --input '{"query": "latest AI developments 2024"}'
Available Apps
Tavily
| App | App ID | Description |
|---|---|---|
| Search Assistant | tavily/search-assistant | AI-powered search with answers |
| Extract | tavily/extract | Extract content from URLs |
Exa
| 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 |
Examples
Tavily Search
belt app run tavily/search-assistant --input '{
"query": "What are the best practices for building AI agents?"
}'
Returns AI-generated answers with sources and images.
Tavily Extract
belt app run tavily/extract --input '{
"urls": ["https://example.com/article1", "https://example.com/article2"]
}'
Extracts clean text and images from multiple URLs.
Exa Search
belt app run exa/search --input '{
"query": "machine learning frameworks comparison"
}'
Returns highly relevant links with context.
Exa Answer
belt app run exa/answer --input '{
"question": "What is the population of Tokyo?"
}'
Returns direct factual answers.
Exa Extract
belt app run exa/extract --input '{
"url": "https://example.com/research-paper"
}'
Extracts and analyzes web page content.
Workflow: Research + LLM
# 1. Search for information
belt app run tavily/search-assistant --input '{
"query": "latest developments in quantum computing"
}' > search_results.json
# 2. Analyze with Claude
belt app run openrouter/claude-sonnet-45 --input '{
"prompt": "Based on this research, summarize the key trends: <search-results>"
}'
Workflow: Extract + Summarize
# 1. Extract content from URL
belt app run tavily/extract --input '{
"urls": ["https://example.com/long-article"]
}' > content.json
# 2. Summarize with LLM
belt app run openrouter/claude-haiku-45 --input '{
"prompt": "Summarize this article in 3 bullet points: <content>"
}'
Use Cases
- Research: Gather information on any topic
- RAG: Retrieval-augmented generation
- Fact-checking: Verify claims with sources
- Content aggregation: Collect data from multiple sources
- Agents: Build research-capable AI agents
Related Skills
# Full platform skill (all apps)
npx skills add inference-sh/skills@infsh-cli
# 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
Browse all apps: belt app store
Documentation
- Adding Tools to Agents - Equip agents with search
- Building a Research Agent - LLM + search integration guide
- Tool Integration Tax - Why pre-built tools matter