Search the web and extract concise content from URLs via Tavily API.
npx skills add https://github.com/estebanrfp/gos --skill tavily-estebanrfp
Please help me install this Agent Skill. Skill: tavily Source: https://github.com/estebanrfp/gos/tree/main/skills/tavily-search Command: npx skills add https://github.com/estebanrfp/gos --skill tavily-estebanrfp
This Skill removes the friction of manual web searching by returning concise, relevant information, news, and research results from an AI-optimized search workflow.
Use the tavily skill to search for the latest sources on a topic and return the most relevant results with concise summaries.
High-intent search queries and answers about installing and using this skill.
Web search results for research are summarized concisely by retrieving high-signal content and optional synthesized answers. This process extracts relevant text from sources, removing raw page clutter to deliver clean information for topic exploration.
Clean text content is extracted from specific URLs by using direct URL-based retrieval. This web_fetch functionality pulls relevant text from web pages, bypassing raw page clutter to provide concise, readable extracted content for analysis.
Tavily requires API access through web_fetch to perform news search and information retrieval. You must provide valid Tavily API credentials to execute web searches, gather source material, and return extracted content.
Competitive intelligence and current events are gathered by running AI-assisted discovery queries across news and general web sources. This workflow returns relevant results with concise summaries, enabling rapid source collection and viewpoint comparison.
Web search supports topic exploration by collecting multiple sources and comparing viewpoints across relevant information. It returns concise extracted content from various URLs, enabling researchers to summarize findings and analyze current events efficiently.
Web search returns concise extracted content instead of full page HTML to remove raw page clutter. This design ensures high-signal results for research and topic exploration, providing clean text and optional synthesized answers rather than unprocessed web pages.
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