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Gemini Deep Research

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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.

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  • Added September 30, 2026
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Scanned September 30, 2026

npx -y skills add VisionaireLabs/Visionaire --skill gemini-deep-research --agent claude-code

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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

Files in this skill

  • .clawhub/origin.json152 B
  • SKILL.md2.2 KB
  • _meta.json139 B
  • scripts/deep_research.py5.6 KB

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