Deep Research

# Gemini Deep Research Skill Run autonomous research tasks that plan, search, read, and synthesize information into comprehensive reports. ## When to Use This Skill Use this skill when: - Performing market analysis - Conducting competitive landscaping - Creating literature reviews - Doing technical research - Performing due diligence - Need detailed, cited research 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: ```bash export GEMINI_API_KEY=your-api-key-here ``` Or create a `.env` file in the skill directory. ## Usage ### Start a research task ```bash python3 scripts/research.py --query "Research the history of Kubernetes" ``` ### With structured output format ```bash python3 scripts/research.py --query "Compare Python web frameworks" --format "1. Executive Summaryn2. Comparison Tablen3. Recommendations" ``` ### Stream progress in real-time ```bash python3 scripts/research.py --query "Analyze EV battery market" --stream ``` ### Start without waiting ```bash python3 scripts/research.py --query "Research topic" --no-wait ``` ### Check status of running research ```bash python3 scripts/research.py --status ``` ### Wait for completion ```bash python3 scripts/research.py --wait ``` ### Continue from previous research ```bash python3 scripts/research.py --query "Elaborate on point 2" --continue ``` ### List recent research ```bash python3 scripts/research.py --list ``` ## 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)