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.
Scanned 9/5/2026
Install to Claude Code
npx -y skills add dvcrn/openclaw-skills-marketplace --skill gemini-deep-research --agent claude-codeInstalls into .claude/skills of the current project.
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---
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."
---
# 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
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