web-search
Focuses on web search in the data analysis domain, providing Agents with powerful web information retrieval capabilities via API calls to assist with data insights.
npx skills add inferen-sh/skills --skill web-searchBefore / After Comparison
1 组Manually entering keywords into multiple search engines, clicking links one by one, consumes a lot of time sifting through information, and may miss important content.
By using a smart agent to invoke the `web-search` skill with a single click, relevant information is quickly aggregated, saving time and improving the comprehensiveness and accuracy of information retrieval.
description SKILL.md
web-search
Web Search & Extraction
Search the web and extract content via inference.sh CLI.
Quick Start
Requires inference.sh CLI (infsh). Install instructions
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
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 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: 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
Weekly Installs9.4KRepositoryinferen-sh/skillsGitHub Stars159First Seen6 days agoSecurity AuditsGen Agent Trust HubPassSocketWarnSnykWarnInstalled onclaude-code7.1Kgemini-cli6.8Kcodex6.8Kamp6.8Kopencode6.8Kgithub-copilot6.8K
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