Query Tavily's API to obtain structured, citation-backed research results.
npx skills add https://github.com/stevessr/dotsfiles --skill research-stevessr
Please help me install this Agent Skill. Skill: research Source: https://github.com/stevessr/dotsfiles/tree/main/dot_agents/skills/research Command: npx skills add https://github.com/stevessr/dotsfiles --skill research-stevessr
Quickly obtain AI-synthesized research with citations directly in your terminal, enabling repeatable, citation-backed insights for decision making.
Run the research script with a JSON payload describing your topic to fetch structured results.
High-intent search queries and answers about installing and using this skill.
You can get AI-backed research with citations by posting a research query as a JSON payload to the Tavily API. The script returns structured JSON containing AI-synthesized content, source links, and response time metrics.
To fetch AI-synthesized research results, you need the TAVILY_API_KEY environment variable configured, along with jq and curl installed. You provide a JSON payload describing your topic to execute the research script.
Yes, you can customize the JSON output format when gathering research sources by passing optional parameters. The script accepts output_schema and citation_format inputs alongside your query and chosen model to tailor the response.
The research pipeline supports multiple AI models for topic exploration. You specify your preferred model in the input JSON payload alongside your research query to obtain structured, citation-backed results from the API.
The best way to use structured research JSON in automated dashboards is leveraging the script's background-friendly execution. It outputs clean JSON with content, sources, and response_time fields, making it suitable for pipeline integration and dashboard rendering.
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