Execute autonomous multi-step research using Google Gemini Deep Research Agent. Use for: market analysis, competitive landscaping, literature reviews, technical research, due diligence. Takes 2-10 minutes but produces detailed, cited reports. Costs $2-5 per task.

Gemini Deep Research Skill Run autonomous research tasks that plan, search, read, and synthesize information into comprehensive reports. Requirements Python 3.8+ httpx: pip install r requirements.txt GEMINI API KEY environment variable Setup 1. Get a Gemini API key from [Google AI Studio](https://aistudio.google.com/) 2. Set the environment variable: Or create a .env file in the skill directory. Usage Start a research task With structured output format Stream progress in real time Start without waiting Check status of running research Wait for completion Continue from previous research List recent research Output Formats Default : Human readable markdown report JSON ( json ): Structured data for programmatic use Raw ( raw ): Unprocessed API response Cost & Time Metric Value Time 2 10 minutes per task Cost $2 5 per task (varies by complexity) Token usage ~250k 900k input, ~60k 80k output Best Use Cases Market analysis and competitive landscaping Technical literature reviews Due diligence research Historical research and timelines Comparative analysis (frameworks, products, technologies) Workflow 1. User requests research → Run query "..." 2. Inform user of estimated time (2 10 minutes) 3. Monitor with stream or poll with status 4. Return formatted results 5. Use continue for follow up questions Exit Codes 0 : Success 1 : Error (API error, config issue, timeout) 130 : Cancelled by user (Ctrl+C)

deep-research