How do I install the Gemini Deep Research skill?

Run npx skillmds@latest add sanjay3290/gemini-deep-research in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Gemini Deep Research safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: executes scripts, makes network calls, reads secrets. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Gemini Deep Research?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Gemini Deep Research free to use?

Yes. Installing skills from SkillMD is free. This skill is licensed under Apache-2.

Who published Gemini Deep Research?

sanjay3290 (@sanjay3290) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Gemini Deep Research by sanjay3290 — Agent Skill

Name: Gemini Deep Research
Rating: 4.2 (5 reviews)
Author: sanjay3290

File contents

Gemini Deep Research Skill

When to Use

Use when a question needs autonomous multi-step research with cited sources (market analysis, literature reviews, competitive scans)
Use when you want to start a Gemini Deep Research run, poll its progress, and collect the final report
Use when a quick web search is not enough and a structured, source-grounded report is required

Run autonomous research tasks that plan, search, read, and synthesize information into comprehensive reports.

Requirements

Python 3.8+
httpx: pip install -r requirements.txt
GEMINI_API_KEY environment variable

Setup

Get a Gemini API key from Google AI Studio
Set the environment variable:
```
export GEMINI_API_KEY=your-api-key-here
```
Or create a .env file in the skill directory.

Safety Gate

Before starting a research job, show the user the exact query, the fact that it will be sent to Google's Gemini service, the expected cost range, and the output destination. Start a job only after explicit approval. Do not include private workspace material, credentials, personal data, or confidential customer information in a query.

Usage

Start a research task

python3 scripts/research.py --query "Research the history of Kubernetes"

With structured output format

python3 scripts/research.py --query "Compare Python web frameworks" \
  --format "1. Executive Summary\n2. Comparison Table\n3. Recommendations"

Stream progress in real-time

python3 scripts/research.py --query "Analyze EV battery market" --stream

Start without waiting

python3 scripts/research.py --query "Research topic" --no-wait

Check status of running research

python3 scripts/research.py --status <interaction_id>

Wait for completion

python3 scripts/research.py --wait <interaction_id>

Continue from previous research

python3 scripts/research.py --query "Elaborate on point 2" --continue <interaction_id>

List recent research

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

User requests research → Run --query "..."
Inform user of estimated time (2-10 minutes)
Monitor with --stream or poll with --status
Return formatted results
Use --continue for follow-up questions

Exit Codes

0: Success
1: Error (API error, config issue, timeout)
130: Cancelled by user (Ctrl+C)

Limitations

Each research job is a paid, third-party API request; costs and availability can change, and the listed estimate is not a spending authorization.
Reports may contain incomplete, stale, or incorrect citations. Verify consequential claims against primary sources.
This skill cannot guarantee that a prompt is safe to disclose; redact proprietary or personal material before requesting user approval.
An API key must remain local and must never be committed, printed, or sent in a query.

---name: gemini-deep-researchdescription: Run autonomous multi-step research with Google's Gemini Deep Research Agent: kick off a query, poll progress, and collect a cited report for market analysis or literature reviews.license: Apache-2.0---# Gemini Deep Research Skill## When to Use- Use when a question needs autonomous multi-step research with cited sources (market analysis, literature reviews, competitive scans)- Use when you want to start a Gemini Deep Research run, poll its progress, and collect the final report- Use when a quick web search is not enough and a structured, source-grounded report is requiredRun autonomous research tasks that plan, search, read, and synthesize information into comprehensive reports.## Requirements- Python 3.8+- httpx: `pip install -r requirements.txt`- GEMINI_API_KEY environment variable## Setup1. 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.## Safety GateBefore starting a research job, show the user the exact query, the fact that it will be sentto Google's Gemini service, the expected cost range, and the output destination. Start a jobonly after explicit approval. Do not include private workspace material, credentials, personaldata, or confidential customer information in a query.## Usage### Start a research task```bashpython3 scripts/research.py --query "Research the history of Kubernetes"```### With structured output format```bashpython3 scripts/research.py --query "Compare Python web frameworks" \ --format "1. Executive Summary\n2. Comparison Table\n3. Recommendations"```### Stream progress in real-time```bashpython3 scripts/research.py --query "Analyze EV battery market" --stream```### Start without waiting```bashpython3 scripts/research.py --query "Research topic" --no-wait```### Check status of running research```bashpython3 scripts/research.py --status <interaction_id>```### Wait for completion```bashpython3 scripts/research.py --wait <interaction_id>```### Continue from previous research```bashpython3 scripts/research.py --query "Elaborate on point 2" --continue <interaction_id>```### List recent research```bashpython3 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)## Workflow1. 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 results5. Use `--continue` for follow-up questions## Exit Codes- **0**: Success- **1**: Error (API error, config issue, timeout)- **130**: Cancelled by user (Ctrl+C)## Limitations- Each research job is a paid, third-party API request; costs and availability can change, and the listed estimate is not a spending authorization.- Reports may contain incomplete, stale, or incorrect citations. Verify consequential claims against primary sources.- This skill cannot guarantee that a prompt is safe to disclose; redact proprietary or personal material before requesting user approval.- An API key must remain local and must never be committed, printed, or sent in a query.

Frequently asked questions

Gemini Deep Research