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gemini-deep-research

Run deep multi-source research with Gemini and generate MD and JSON reports.

Updated Apr 1, 2026
Search Tags:#research#synthesis#gemini#survey#web-search#deep-research
One-click install
npx skills add https://github.com/xiaoyu-ops/the_work_of_dedup --skill gemini-deep-research-xiaoyu-ops
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gemini-deep-research
Source: https://github.com/xiaoyu-ops/the_work_of_dedup/tree/main/.claude/skills/gemini-deep-research
Command: npx skills add https://github.com/xiaoyu-ops/the_work_of_dedup --skill gemini-deep-research-xiaoyu-ops

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, and includes scripts (resource) components.

What problem does it solve?

Gemini Deep Research automates the heavy lifting of gathering and synthesizing information from multiple sources for complex, lengthy research tasks.

Core Features & Use Cases

  • Automated, long-running research with web searches and structured reports
  • Multi-source synthesis and iterative progress updates
  • Output MD and JSON reports suitable for literature reviews, competitive analyses, and technical deep-dives
  • Progress updates and streaming outputs to keep you informed

Quick Start

Run the provided deep_research.py script with a query to start a research task and save the results to the current directory.

Frequently Asked Questions about gemini-deep-research

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate deep research and synthesize findings from multiple web sources?▼

To automate deep research, you can run the provided Python script with a query to gather and synthesize findings from multiple web sources. The task runs long-running web searches and generates structured MD and JSON reports for comprehensive technical investigations.

What do I need to run multi-source web research tasks with Gemini?▼

To run multi-source web research tasks, you need a GEMINI_API_KEY and Python 3.8 or higher with the requests dependency installed. These prerequisites allow the script to execute automated searches and generate structured literature reviews or market research outputs.

Can I use this for competitive landscape analysis and literature reviews?▼

Yes, you can use this for competitive landscape analysis and literature reviews. The automated research agent gathers multi-source data and synthesizes findings into structured MD and JSON reports suitable for comprehensive technical investigations and market research.

How does the deep research process handle long-running web searches?▼

The deep research process handles long-running web searches by providing iterative progress updates and streaming outputs. This mechanism keeps you informed during multi-source synthesis and while generating structured technical or market research reports.

What is the best way to get structured reports from a comprehensive technical investigation?▼

The best way to get structured reports from a technical investigation is running the deep research script. It synthesizes multi-source web search data into MD and JSON file formats, applying structured formatting to output comprehensive literature reviews and technical deep-dives.

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