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    gemini-deep-research

    Perform complex, long-running research tasks

    By @arun-8687
    View on GitHub
    SKILL.md
    ---
    name: gemini-deep-research
    description: Perform complex, long-running research tasks using Gemini Deep Research Agent. Use when asked to research topics requiring multi-source synthesis, competitive analysis, market research, or comprehensive technical investigations that benefit from systematic web search and analysis.
    metadata: {"clawdbot":{"emoji":"🔬","requires":{"env":["GEMINI_API_KEY"]},"primaryEnv":"GEMINI_API_KEY"}}
    ---
    
    # Gemini Deep Research
    
    Use Gemini's Deep Research Agent to perform complex, long-running context gathering and synthesis tasks.
    
    ## Prerequisites
    
    - `GEMINI_API_KEY` environment variable (from Google AI Studio)
    - **Note**: This does NOT work with Antigravity OAuth tokens. Requires a direct Gemini API key.
    
    ## How It Works
    
    Deep Research is an agent that:
    1. Breaks down complex queries into sub-questions
    2. Searches the web systematically
    3. Synthesizes findings into comprehensive reports
    4. Provides streaming progress updates
    
    ## Usage
    
    ### Basic Research
    
    ```bash
    scripts/deep_research.py --query "Research the history of Google TPUs"
    ```
    
    ### Custom Output Format
    
    ```bash
    scripts/deep_research.py --query "Research the competitive landscape of EV batteries" \
      --format "1. Executive Summary\n2. Key Players (include data table)\n3. Supply Chain Risks"
    ```
    
    ### With File Search (optional)
    
    ```bash
    scripts/deep_research.py --query "Compare our 2025 fiscal year report against current public web news" \
      --file-search-store "fileSearchStores/my-store-name"
    ```
    
    ### Stream Progress
    
    ```bash
    scripts/deep_research.py --query "Your research topic" --stream
    ```
    
    ## Output
    
    The script saves results to timestamped files:
    - `deep-research-YYYY-MM-DD-HH-MM-SS.md` - Final report in markdown
    - `deep-research-YYYY-MM-DD-HH-MM-SS.json` - Full interaction metadata
    
    ## API Details
    
    - **Endpoint**: `https://generativelanguage.googleapis.com/v1beta/interactions`
    - **Agent**: `deep-research-pro-preview-12-2025`
    - **Auth**: `x-goog-api-key` header (NOT OAuth Bearer token)
    
    ## Limitations
    
    - Requires Gemini API key (get from [Google AI Studio](https://aistudio.google.com/apikey))
    - Does NOT work with Antigravity OAuth authentication
    - Long-running tasks (minutes to hours depending on complexity)
    - May incur API costs depending on your quota