Gemini Deep Research Skill

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

When to Use This Skill

Use this skill when:

●Performing market analysis

●Conducting competitive landscaping

●Creating literature reviews

●Doing technical research

●Performing due diligence

●Need detailed, cited research reports

Requirements

●Python 3.8+

●httpx: pip install -r requirements.txt

●GEMINI_API_KEY environment variable

Setup

1.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.

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

1.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 results

5.Use --continue for follow-up questions

Exit Codes

●0: Success

●1: Error (API error, config issue, timeout)

●130: Cancelled by user (Ctrl+C)

deep-research

Documentation