Query Tavily's API to return web results with snippets, scores, and metadata.
npx skills add https://github.com/stevessr/dotsfiles --skill search-stevessr
Please help me install this Agent Skill. Skill: search Source: https://github.com/stevessr/dotsfiles/tree/main/dot_agents/skills/search Command: npx skills add https://github.com/stevessr/dotsfiles --skill search-stevessr
Enables users to search the web without writing code by interfacing with Tavily's API to fetch relevant results, including content snippets, scores, and metadata.
Run the script with a JSON payload containing your query and options to receive structured web search results.
High-intent search queries and answers about installing and using this skill.
To get LLM-optimized web search results, query Tavily's API via a script-based workflow that returns structured snippets, relevance scores, and metadata suitable for downstream tasks.
Yes, web search requests require a Tavily API key. The script accepts JSON input including your query and options to fetch relevant results with content snippets and metadata.
Yes, you can filter web search results by passing include_domains and time_range parameters in your JSON input to target specific content discovery across domains.
Running the Tavily search script requires jq and curl installed in your environment to process the JSON input and execute the API requests for fetching web content.
Configure topic exploration by setting the search_depth and max_results fields in your JSON payload, allowing you to control the breadth and detail of the fetched web search results.
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