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deep-research

Execute multi-step research tasks and generate cited reports with Gemini Deep Research.

Updated Apr 3, 2026
Search Tags:#automation#research#citations#market-analysis#literature-review#report-generation#due-diligence
One-click install
npx skills add https://github.com/tusosos/manus-knowledge-base --skill deep-research-tusosos
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/tusosos/manus-knowledge-base/tree/main/skills/deep-research
Command: npx skills add https://github.com/tusosos/manus-knowledge-base --skill deep-research-tusosos

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Automates the execution of complex, multi-step research tasks by planning, performing searches, reading sources, and synthesizing findings into comprehensive, cited reports using Gemini Deep Research.

Core Features & Use Cases

  • Autonomous task planning, execution, and progress tracking for research projects.
  • Generation of detailed, structured reports suitable for market analyses, literature reviews, due diligence, and technical research.
  • Flexible outputs including executive summaries and structured findings ready for decision-making.

Quick Start

Start a research task by providing a topic and letting the agent plan, search, read, and synthesize a complete report.

Frequently Asked Questions about deep-research

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

FAQPage Schema
How do I automate generating a cited literature review from multiple sources?▼

Automate cited literature review generation by inputting a topic into the autonomous research agent, which plans searches, reads sources, and synthesizes structured findings. This yields a comprehensive, properly cited report.

What is autonomous multi-step research and how does it work for market analysis?▼

Autonomous multi-step research for market analysis uses an agent to independently plan, execute, and track search tasks. It reads sources and synthesizes detailed, structured competitive landscaping reports with citations within minutes.

Can I use this autonomous agent for technical research and due diligence?▼

Yes, you can use this autonomous agent for technical research and due diligence. It handles complex research tasks by planning searches and synthesizing comprehensive, cited reports tailored for executive decision-making.

How do I get an executive summary from a comprehensive research report?▼

Get an executive summary from a research report by configuring the agent's output options. It generates flexible outputs including structured executive summaries alongside detailed sections for immediate decision-making.

Do I need python-dotenv and httpx to run the research agent?▼

Yes, you need python-dotenv and httpx to run the research agent. These dependencies facilitate environment variable management and asynchronous HTTP requests required for autonomous search and source reading.

What are the limitations of using an autonomous agent for report generation?▼

Limitations of autonomous report generation include task durations ranging from 2 to 10 minutes. While it synthesizes cited findings, complex due diligence requires verifying structured outputs against primary sources.

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