web-search

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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

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Sourceinference-shell/skills

Added on2026-03-11

NPX Install

npx skill4agent add inference-shell/skills web-search

SKILL.md Content

Web Search & Extraction

Search the web and extract content via inference.sh CLI.

Quick Start

Requires inference.sh CLI (
infsh
). Get installation instructions:
npx skills add inference-sh/skills@agent-tools

bash

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	`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

bash

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

bash

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

bash

infsh app run exa/search --input '{
  "query": "machine learning frameworks comparison"
}'

Returns highly relevant links with context.

Exa Answer

bash

infsh app run exa/answer --input '{
  "question": "What is the population of Tokyo?"
}'

Returns direct factual answers.

Exa Extract

bash

infsh app run exa/extract --input '{
  "url": "https://example.com/research-paper"
}'

Extracts and analyzes web page content.

Workflow: Research + LLM

bash

# 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

bash

# 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

bash

# Full platform skill (all 150+ apps)
npx skills add inference-sh/skills@agent-tools

# 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:

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