Agent Skills
› NeverSight/learn-skills.dev
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web-search
GitHub通过inference.sh CLI调用Tavily和Exa进行AI网络搜索、内容提取及事实核查。支持RAG管道、研究辅助及智能体构建，提供带来源的搜索结果、直接答案及网页内容清洗功能。
触发场景
web search
tavily
exa
search api
content extraction
research
internet search
ai search
search assistant
web scraping
rag
perplexity alternative
安装
npx skills add NeverSight/learn-skills.dev --skill web-search -g -y
SKILL.md
Frontmatter
{
"name": "web-search",
"description": "Web search and content extraction with Tavily and Exa via inference.sh CLI. Apps: Tavily Search, Tavily Extract, Exa Search, Exa Answer, Exa Extract. Capabilities: AI-powered search, content extraction, direct answers, research. Use for: research, RAG pipelines, fact-checking, content aggregation, agents. Triggers: web search, tavily, exa, search api, content extraction, research, internet search, ai search, search assistant, web scraping, rag, perplexity alternative",
"allowed-tools": "Bash(belt *)"
}
Install 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 250+ 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
版本历史
- c3c0a1e 当前 2026-07-23 07:05
依赖关系
-
suggested
belt-sh/cli -
suggested
inference-sh/skills@infsh-cli -
suggested
inference-sh/skills@llm-models -
suggested
inference-sh/skills@ai-image-generation
