gemini-deep-research

Automate Google Deep Research report submission and retrieval with markdown output.

7|Updated May 28, 2026
One-click install
npx skills add https://github.com/zcaceres/skills --skill gemini-deep-research-zcaceres
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gemini-deep-research
Source: https://github.com/zcaceres/skills/tree/main/skills/gemini-deep-research
Command: npx skills add https://github.com/zcaceres/skills --skill gemini-deep-research-zcaceres

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill solves the problem of manual, time-consuming information gathering by automating the execution of deep research queries and synthesizing the results into comprehensive markdown reports.

Core Features & Use Cases

  • Automated Research: Triggers Google's Deep Research agent to perform multi-step investigations on complex topics.
  • Background Polling: Manages long-running research tasks in the background, allowing you to continue working while the agent processes your request.
  • Structured Output: Automatically caches and formats findings into clean, citation-rich markdown files.

Quick Start

Ask the agent to run a deep research report on the current state of fusion energy and commercial viability.

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 AI research report generation for complex topics?

To automate AI research report generation, this Skill triggers Google's Deep Research agent to perform multi-step investigations. It handles background polling and status tracking, then caches the synthesized findings into structured markdown files.

Do I need a Gemini API key to run deep research queries?

Yes, you need a valid Gemini API key to run deep research queries. The Skill uses this key to authenticate and submit your complex information gathering tasks to Google's Deep Research agent for processing.

What is background polling and how does it work for long-running research tasks?

Background polling manages long-running research tasks by continuously checking the status of your request. This allows you to continue working while the AI agent processes your comprehensive query, caching the final structured markdown output when ready.

How do I get structured markdown output from AI research findings?

You get structured markdown output from AI research findings by using this Skill to automatically format and cache the results. It synthesizes the deep research agent's output into clean, citation-rich markdown files for your records.

Can I use this to gather information on the commercial viability of fusion energy?

Yes, you can use this to gather information on the commercial viability of fusion energy. The Skill automates comprehensive research queries on complex topics, managing the background polling and returning a structured markdown report.

What are the limitations of automating research with an AI agent?

Limitations of automating research with an AI agent include managing long-running background polling tasks. The Skill requires a valid Gemini API key and depends on Google's Deep Research agent to synthesize complex findings into markdown.