gemini-deep-research

Orchestrate multi-source research tasks into Markdown reports and JSON logs.

708|51|Updated Mar 10, 2026
One-click install
npx skills add https://github.com/LigphiDonk/Oh-my--paper --skill gemini-deep-research-ligphidonk
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gemini-deep-research
Source: https://github.com/LigphiDonk/Oh-my--paper/tree/main/src-tauri/resources/skills/gemini-deep-research
Command: npx skills add https://github.com/LigphiDonk/Oh-my--paper --skill gemini-deep-research-ligphidonk

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 long-running research tasks by orchestrating web searches, sub-question breakdowns, and structured reporting.

Core Features & Use Cases

  • Breaks down complex queries into sub-questions
  • Systematically searches and synthesizes findings into a Markdown report
  • Outputs both a human-readable report and a JSON interaction log for traceability
  • Suitable for literature reviews, market/technical research, and competitive analyses

Quick Start

Run the deep_research.py script with your topic query to start a long-running research task and review the generated markdown report.

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 multi-source research and generate a report with Gemini?

To automate multi-source research, this Skill orchestrates web searches and sub-question breakdowns using the Gemini Deep Research API. It systematically synthesizes findings, delivering a final markdown report and a full interaction JSON log for traceability.

What is the best way to conduct long-running literature reviews using Python?

For long-running literature reviews, this Skill breaks down complex queries into sub-questions and systematically searches multiple sources. It compiles the synthesized findings into a structured markdown report, automating the heavy lifting of topic investigations.

Do I need a GEMINI_API_KEY to run deep research tasks?

Yes, you need a GEMINI_API_KEY to access the Gemini Deep Research API. You also need Python 3.8 or higher with the requests dependency installed to execute the research orchestration script and generate your reports.

Can I use this for competitive analysis and market research?

Yes, you can use this for competitive analysis and market research. The Skill supports use cases requiring multi-source synthesis, breaking down complex topics into sub-questions to systematically explore and compile structured findings into a readable markdown report.

What outputs do I get from a Gemini deep research task?

You receive two outputs from a deep research task: a human-readable markdown report containing the synthesized findings, and a full interaction JSON log. This JSON provides complete traceability of the web searches and sub-question breakdowns executed during the process.