5.1k★by arun-8687
gemini-deep-research – OpenClaw Skill
gemini-deep-research is an OpenClaw Skills integration for data analytics workflows. 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.
Skill Snapshot
| 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. OpenClaw Skills integration. |
| owner | arun-8687 |
| repository | arun-8687/gemini-deep-research |
| language | Markdown |
| license | MIT |
| topics | |
| security | L1 |
| install | openclaw add @arun-8687/gemini-deep-research |
| last updated | Feb 7, 2026 |
Maintainer

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_KEYenvironment 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:
- Breaks down complex queries into sub-questions
- Searches the web systematically
- Synthesizes findings into comprehensive reports
- Provides streaming progress updates
Usage
Basic Research
scripts/deep_research.py --query "Research the history of Google TPUs"
Custom Output Format
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)
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
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 markdowndeep-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-keyheader (NOT OAuth Bearer token)
Limitations
- Requires Gemini API key (get from Google AI Studio)
- Does NOT work with Antigravity OAuth authentication
- Long-running tasks (minutes to hours depending on complexity)
- May incur API costs depending on your quota
No README available.
Permissions & Security
Security level L1: Low-risk skills with minimal permissions. Review inputs and outputs before running in production.
Requirements
- `GEMINI_API_KEY` environment variable (from Google AI Studio) - **Note**: This does NOT work with Antigravity OAuth tokens. Requires a direct Gemini API key.
FAQ
How do I install gemini-deep-research?
Run openclaw add @arun-8687/gemini-deep-research in your terminal. This installs gemini-deep-research into your OpenClaw Skills catalog.
Does this skill run locally or in the cloud?
OpenClaw Skills execute locally by default. Review the SKILL.md and permissions before running any skill.
Where can I verify the source code?
The source repository is available at https://github.com/openclaw/skills/tree/main/skills/arun-8687/gemini-deep-research. Review commits and README documentation before installing.
