Search the web and extract content via the Tavily API.
npx skills add https://github.com/xg-gh-25/SwarmAI --skill tavily-search-xg-gh-25
Please help me install this Agent Skill. Skill: tavily-search Source: https://github.com/xg-gh-25/SwarmAI/tree/main/backend/skills/s_tavily-search Command: npx skills add https://github.com/xg-gh-25/SwarmAI --skill tavily-search-xg-gh-25
Web research is time-consuming, noisy, and scattered across sources. Tavily-search enables fast, AI-assisted web searches and content extraction in a single API call, returning ranked results, AI-generated answers, and extractable content from URLs.
Search the web for the latest AI agent frameworks and extract key points from the top results.
High-intent search queries and answers about installing and using this skill.
Web content extraction pulls full content or key snippets from multiple URLs into a structured response. You can gather competitive intelligence or industry trends and synthesize them into a briefing document via a single API call.
AI-generated answers provide direct summaries with source attribution for web searches. By configuring the include_answer parameter, the API returns an AI-synthesized response alongside ranked search results and relevance scores.
AI-powered web search ranks results using relevance scores and timings within a structured response. It applies configurable parameters like search_depth and max_results to filter and prioritize the most pertinent extracted content for your query.
The best way to monitor competitors is using AI-assisted web search to perform rapid background checks and data gathering. It returns ranked results, optional AI answers, and extracted content from specified URLs to support competitor monitoring workflows.
You do not need external dependencies to use this Tavily API integration. It satisfies API integration and parameter configuration internally, allowing you to perform web searches and content extraction without additional component requirements.
A limitation when extracting raw content is that the output depends on the include_raw_content parameter configuration. You can toggle between full content or key snippets to control the extraction depth and manage the payload size of the structured response.
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