Can I refine a report after it has been generated?

Yes, by using the --continue flag with the specific interaction ID, you can ask Claude to elaborate on specific points or perform follow-up research based on previous findings.

How long does a research task typically take?

Most autonomous research tasks take between 2 to 10 minutes to complete, depending on the complexity of the query and the depth of synthesis required.

What is the typical cost per research task?

Each task typically costs between $2 and $5 in API credits, as it processes a high volume of tokens (up to 900k input tokens) to ensure thoroughness.

What are the API requirements for this skill?

You must have a valid Gemini API key from Google AI Studio configured as an environment variable (GEMINI_API_KEY) to run research tasks.

Gemini Deep Research

Name: Gemini Deep Research
Author: sanjay3290

bysanjay3290

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Data Science & ML

Executes autonomous, multi-step research and synthesizes comprehensive, cited reports using the Gemini Deep Research Agent.

About

The Gemini Deep Research skill enables Claude to perform exhaustive, independent research tasks that transcend simple web searches. By leveraging the Gemini Deep Research Agent, this skill plans multi-stage research strategies, searches across diverse web sources, analyzes complex documentation, and synthesizes findings into detailed, professional reports. It is an essential tool for high-stakes tasks like market analysis, technical due diligence, and academic literature reviews where depth, accuracy, and proper citations are required.

Key Features

Structured output support including Markdown and JSON formats
Persistence through interaction IDs to continue or refine research
Real-time progress streaming for long-running investigations
Autonomous multi-step research planning and synthesis
Comprehensive source citation and historical timeline reconstruction
37 GitHub stars

Use Cases

Performing deep competitive landscaping and market analysis for new products
Conducting technical literature reviews and framework comparisons
Executing due diligence and historical research for complex projects

About

Key Features

Structured output support including Markdown and JSON formats
Persistence through interaction IDs to continue or refine research
Real-time progress streaming for long-running investigations
Autonomous multi-step research planning and synthesis
Comprehensive source citation and historical timeline reconstruction
37 GitHub stars

Use Cases

Performing deep competitive landscaping and market analysis for new products
Conducting technical literature reviews and framework comparisons
Executing due diligence and historical research for complex projects