web-search
データ分析分野のウェブ検索に特化し、API呼び出しを通じてAgentに強力なウェブ情報取得機能を提供し、データインサイトを支援します。
npx skills add inferen-sh/skills --skill web-searchBefore / After 効果比較
1 组複数の検索エンジンに手動でキーワードを入力し、リンクを一つずつクリックして情報を絞り込むのに多大な時間を費やし、重要な内容を見落とす可能性があります。
スマートエージェントを通じて `web-search` スキルをワンクリックで呼び出すことで、関連情報を迅速に集約し、時間を節約し、情報取得の網羅性と正確性を向上させます。
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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