deep-research
Execute autonomous multi-step research using Google Gemini Deep Research Agent. Use for: market analysis, competitive landscaping, literature reviews, technical research, due diligence. Takes 2-10 minutes but produces detailed, cited reports. Costs $2-5 per task.
npx skills add majiayu000/claude-skill-registry --skill deep-research-sanjay3290-ai-skills --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 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 ```bash python3 scripts/research.py --query "Research the history of Kubernetes" ``` ### With structured output format ```bash python3 scripts/research.py --query "Compare Python web frameworks" \ --format "1. Executive Summary\n2. Comparison Table\n3. Recommendations" ``` ### Stream progress in real-time ```bash python3 scripts/research.py --query "Analyze EV battery market" --stream ``` ### Start without waiting ```bash python3 scripts/research.py --query "Research topic" --no-wait ``` ### Check status of running research ```bash python3 scripts/research.py --status <interaction_id> ``` ### Wait for completion ```bash python3 scripts/research.py --wait <interaction_id> ``` ### Continu
- Requirements
- Setup
- Usage
- Start a research task
- With structured output format
- Stream progress in real-time
- Start without waiting
- Check status of running research
- Wait for completion
- Continue from previous research
- List recent research
- Output Formats
- Cost & Time
- Best Use Cases
export GEMINI_API_KEY=your-api-key-here python3 scripts/research.py --query "Research the history of Kubernetes" python3 scripts/research.py --query "Compare Python web frameworks" \ python3 scripts/research.py --query "Analyze EV battery market" --stream python3 scripts/research.py --query "Research topic" --no-wait python3 scripts/research.py --status <interaction_id> python3 scripts/research.py --wait <interaction_id> python3 scripts/research.py --query "Elaborate on point 2" --continue <interaction_id> python3 scripts/research.py --list
What does the deep-research skill do?
Execute autonomous multi-step research using Google Gemini Deep Research Agent. Use for: market analysis, competitive landscaping, literature reviews, technical research, due diligence. Takes 2-10 minutes but produces detailed, cited reports. Costs $2-5 per task.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill deep-research-sanjay3290-ai-skills --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.