Search Tavily's API to retrieve web results with snippets, scores, and metadata.
npx skills add https://github.com/family3253/skill --skill tavily-search-family3253
Please help me install this Agent Skill. Skill: tavily-search Source: https://github.com/family3253/skill/tree/main/skills/tavily-search Command: npx skills add https://github.com/family3253/skill --skill tavily-search-family3253
Tavily-search enables fast retrieval of relevant web content by querying Tavily's LLM-optimized search API and returning content snippets, scores, and metadata to accelerate research and discovery.
Run the search tool with a JSON payload containing your query to fetch results instantly.
High-intent search queries and answers about installing and using this skill.
To retrieve web search snippets and relevance scores, query Tavily's LLM-optimized API with a JSON payload. It returns content snippets and metadata to accelerate market research and competitive analysis across multiple domains.
Yes, you can filter web search results by specific domains and time range. The API accepts optional parameters including include_domains, time_range, and max_results to narrow down your query output for targeted topic exploration.
Yes, you need an API key to perform LLM-powered web searches. You must have a Tavily account and include your API key, or use an OAuth flow via MCP, to authenticate your JSON payload search requests.
The best way to get raw content is using the include_raw_content parameter in your JSON payload. This instructs the search API to fetch full raw content alongside standard snippets and relevance scores for topic exploration.
The Tavily search API requires jq to parse results. This dependency processes the JSON output returned by the scripts, allowing you to extract specific fields from the retrieved metadata efficiently.
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