What problem does it solve? Deep research normally requires manually searching many sources, reading them, and synthesizing findings with citations. This Skill automates that workflow through the Tavily CLI, producing a structured, citation-backed report in 30-120 seconds. ## Core Features & Use Cases - Multi-source research reports: Runs tvly research to gather, analyze, and synthesize web sources into a cited report. - Model and output control: Choose mini, pro, or auto models, stream progress, define JSON output schemas, and pick citation formats (numbered, MLA, APA, Chicago). - Async workflows: Start long research jobs with --no-wait, then poll status and retrieve results by request ID. - Use Case: Ask for a comparison of AI agent frameworks and receive a saved Markdown report with numbered citations via tvly research "AI agent frameworks comparison" --model pro -o report.md. ## Quick Start Ask the assistant to research a topic such as "competitive landscape of AI code assistants" using the tavily-research skill and save the cited report to a file.