Search the web with configurable depth, topic, and result limits via Tavily API.
npx skills add https://github.com/Tigha66/dexters-ai-assistant --skill tavily-tigha66
Please help me install this Agent Skill. Skill: tavily Source: https://github.com/Tigha66/dexters-ai-assistant/tree/main/skills/tavily-search Command: npx skills add https://github.com/Tigha66/dexters-ai-assistant --skill tavily-tigha66
AI-optimized web search and result summarization for AI agents, reducing the time spent on researching the web.
Run a Tavily search for your query using the search.mjs script with the desired options.
High-intent search queries and answers about installing and using this skill.
AI-optimized web search integrates into agent workflows via scriptable search and content extraction utilities. You pass queries to a search script, configuring depth, topic, and result limits, to retrieve concise, relevant results for downstream AI decision-making.
The best way to get concise search results for AI agents is using an AI-optimized search API. It targets general or news topics with configurable depth, summarizing web content to reduce manual research time and feed relevant data directly into your agent.
Yes, you need a Tavily API key to perform web search and content extraction. The API key authenticates your requests when running the search scripts to retrieve concise, relevant results and extracted content for your AI agents.
Yes, you can configure search depth and topic targeting for current-events research. The search utility supports topic selection, allowing you to target general research or news specifically, along with setting configurable result limits to control output volume.
Content extraction works for AI automation scripts by isolating relevant web page content through a dedicated utility. It processes URLs to extract clean text, providing integration-ready data to feed into AI decision-making and downstream processing workflows.
Limitations of using web search snippets for AI decision-making include potential context loss from summarization and reliance on API rate limits. While configurable depth helps, complex queries may require multiple targeted searches to gather sufficient relevant data.
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