Open Skills Logo
Open Skills

deep-research

使用谷歌Gemini深度研究代理执行自主多步骤研究。适用于：市场分析、竞争格局调查、文献综述、技术研究、尽职调查。耗时2-10分钟，可生成详细且附引用的报告。每项任务费用2-5美元。

查看详情
name:deep-researchdescription:"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."source:"https://github.com/sanjay3290/ai-skills/tree/main/skills/deep-research"risk:safe

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

  • 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>

    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

    MetricValue
    Time2-10 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)

      • deep-research - Agent Skills