Search the web via Tavily API with configurable result counts and topic filters.
npx skills add https://github.com/syahravi/openclaw --skill tavily-syahravi
Please help me install this Agent Skill. Skill: tavily Source: https://github.com/syahravi/openclaw/tree/main/tavily-skill Command: npx skills add https://github.com/syahravi/openclaw --skill tavily-syahravi
Tavily provides a cleaner, AI-optimized search interface that removes noisy, irrelevant results and surfaces concise, agent-friendly answers and source snippets to speed up research and decision-making.
Use the tavily skill to search for recent developments in quantum computing and return the top five concise sources with a short synthesized answer.
High-intent search queries and answers about installing and using this skill.
AI-optimized web search removes noisy results and surfaces concise, relevance-ranked answers and source snippets to speed up agent-driven research and decision-making. You can configure result counts and use deep search mode for more comprehensive outputs.
Yes, URL content extraction fetches full article content from specific web pages for downstream summarization or indexing. This supports automated content ingestion pipelines by providing cleaned text outputs ready for programmatic processing.
AI-optimized web search supports topic filtering to retrieve current-events news items specifically. Journalists and analysts can use this feature to fetch recent news items and obtain source snippets for automated analysis or citation.
Yes, a Tavily API key is required to execute AI-optimized web search, topic filtering, and URL content extraction. You must supply this key to authenticate programmatic requests and retrieve cleaned search outputs.
Deep search mode provides advanced search scope compared to basic mode, returning more comprehensive and relevance-ranked results. This configurable depth ensures agent-driven research workflows receive detailed source snippets and synthesized answers.
Yes, configurable result count limits allow you to restrict the number of search results returned. This ensures rapid, cleaned search outputs are concise and optimized for quick consumption by AI agents or downstream pipelines.
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