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Adam-Guerin
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deep-research

Execute autonomous multi-step research and synthesize findings into comprehensive reports.

1|Updated Feb 6, 2026
Search Tags:#research#analysis#reporting#synthesis#gemini#due diligence
One-click install
npx skills add https://github.com/Adam-Guerin/Asmblr --skill deep-research-adam-guerin
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/Adam-Guerin/Asmblr/tree/main/skills/deep-research
Command: npx skills add https://github.com/Adam-Guerin/Asmblr --skill deep-research-adam-guerin

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

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

Core Features & Use Cases

  • Autonomous Planning & Execution: Designs and executes multi-step research plans.
  • Information Synthesis: Reads, analyzes, and summarizes findings from various sources.
  • Use Case: Conduct a comprehensive market analysis for a new product, including competitor research, market size estimation, and trend identification.

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 competitive landscaping with Gemini?▼

Yes, you can automate literature reviews and technical research by deploying a multi-step research agent. It autonomously reads, analyzes, and synthesizes findings from various sources into comprehensive reports using the Gemini API.

Do I need a GEMINI_API_KEY to run autonomous research and reporting tasks?▼

Yes, executing autonomous research and reporting tasks requires a GEMINI_API_KEY environment variable. You also need Python 3.8+ and the httpx dependency installed to facilitate the multi-step synthesis process.

What is the process for synthesizing raw information into actionable due diligence reports?▼

Synthesizing raw information into due diligence reports involves autonomous planning and execution. The research agent searches multiple sources, reads the data, and summarizes the findings into a structured, actionable report without manual intervention.

Can I use Python and httpx to conduct multi-step due diligence research?▼

Yes, you can use Python 3.8+ with the httpx library to conduct multi-step due diligence research. This setup interfaces with the Gemini Deep Research Agent to plan searches and synthesize comprehensive findings.

What are the limitations of using an autonomous agent for complex research synthesis?▼

Limitations of using an autonomous research agent include dependency on external API keys like GEMINI_API_KEY and requiring specific Python environments. Complex synthesis tasks also depend entirely on the search and reading capabilities of the underlying Gemini agent.

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