Deep Research

This is a wrapper around Google Gemini's Deep Research agent that lets Claude kick off autonomous research tasks. It takes 2-10 minutes and costs $2-5 per run, but you get back cited reports with actual depth instead of quick summaries. Good for market analysis, competitive research, or technical literature reviews when you need more than a single LLM can produce from its training data. You can stream progress, check status on running tasks, or fire and forget. The cost and wait time mean you'll want to be selective, but when you need something researched properly and don't want to do it yourself, it delivers.

skills.sh installs: 706
GitHub stars: 454
last updated: Aug 21, 2026

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Install

$ npx -y skills add sanjay3290/ai-skills --skill deep-research --agent claude-code

Installs into .claude/skills of the current project.

Files

Gemini Deep Research Skill

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.

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>

SKILL.md on GitHub

Details

Repository: github.com/sanjay3290/ai-skills
Categories: AI & Agent Building, Data Science & ML
License: Apache-2.0
First seen: Jun 3, 2026