deep-research

Execute autonomous multi-step research with Google Gemini and generate cited reports.

10|2|Updated Mar 10, 2026
One-click install
npx skills add https://github.com/bugrabilge/bilge-development-kit --skill deep-research-bugrabilge
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/bugrabilge/bilge-development-kit/tree/main/skills-extra/deep-research
Command: npx skills add https://github.com/bugrabilge/bilge-development-kit --skill deep-research-bugrabilge

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates complex research tasks, transforming raw information into synthesized reports without manual intervention.

Core Features & Use Cases

  • Autonomous Planning: The skill plans, searches, reads, and synthesizes information across multiple steps.
  • Versatile Applications: Ideal for market analysis, competitive landscaping, literature reviews, technical research, and due diligence.
  • Use Case: Use this skill to research the "impact of AI on the future of software development," generating a comprehensive report with citations.

Quick Start

Use the deep-research skill to research the history of Kubernetes.

Frequently Asked Questions about deep-research

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

FAQPage Schema
How do I automate market analysis and generate a cited report?

You can automate literature reviews by executing autonomous multi-step research with this Skill, which uses Google Gemini to plan, search, and synthesize information. It reads multiple sources and compiles findings into a comprehensive, cited report automatically.

Can I use this autonomous research process for due diligence?

This autonomous research process requires Python 3.8 or higher and the httpx library to function. These dependencies allow the Skill to execute HTTP requests and run the multi-step synthesis logic via Google Gemini.

What is the best way to conduct technical research without manual searching?

After generating a comprehensive research report, you can proceed to format conversion, data visualization, or export actions for downstream analysis. These next steps help integrate the synthesized findings into broader presentations or dashboards.

Do I need Python to run the multi-step research and synthesis tool?

When planning your autonomous research workflow, consider complementary tools for data scraping, API integration, or text summarization that work in synergy. These tools enhance the multi-step synthesis process by feeding structured inputs into the Gemini-driven pipeline.

What limitations should I expect when automating competitive landscaping?

Alternative solutions for automated research include specialized literature review tools or market analysis platforms that offer structured databases. These provide differentiated results by relying on proprietary datasets rather than autonomous web synthesis via Google Gemini.