Learn-skills.dev web-search
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
git clone https://github.com/NeverSight/learn-skills.dev
T=$(mktemp -d) && git clone --depth=1 https://github.com/NeverSight/learn-skills.dev "$T" && mkdir -p ~/.claude/skills && cp -r "$T/data/skills-md/1nference-sh/skills/web-search" ~/.claude/skills/neversight-learn-skills-dev-web-search-0378d9 && rm -rf "$T"
data/skills-md/1nference-sh/skills/web-search/SKILL.mdWeb Search & Extraction
Search the web and extract content via inference.sh CLI.

Quick Start
curl -fsSL https://cli.inference.sh | sh && infsh login # Search the web infsh app run tavily/search-assistant --input '{"query": "latest AI developments 2024"}'
Available Apps
Tavily
| App | App ID | Description |
|---|---|---|
| Search Assistant | | AI-powered search with answers |
| Extract | | Extract content from URLs |
Exa
| App | App ID | Description |
|---|---|---|
| Search | | Smart web search with AI |
| Answer | | Direct factual answers |
| Extract | | Extract and analyze web content |
Examples
Tavily Search
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.
Tavily Extract
infsh app run tavily/extract --input '{ "urls": ["https://example.com/article1", "https://example.com/article2"] }'
Extracts clean text and images from multiple URLs.
Exa Search
infsh app run exa/search --input '{ "query": "machine learning frameworks comparison" }'
Returns highly relevant links with context.
Exa Answer
infsh app run exa/answer --input '{ "question": "What is the population of Tokyo?" }'
Returns direct factual answers.
Exa Extract
infsh app run exa/extract --input '{ "url": "https://example.com/research-paper" }'
Extracts and analyzes web page content.
Workflow: Research + LLM
# 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>" }'
Workflow: Extract + Summarize
# 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>" }'
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 150+ apps) npx skills add inferencesh/skills@inference-sh # LLM models (combine with search for RAG) npx skills add inferencesh/skills@llm-models # Image generation npx skills add inferencesh/skills@ai-image-generation
Browse all apps:
infsh app list
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