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CenredJun
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deep-research

Automate multi-step research tasks to generate comprehensive cited reports.

Updated Mar 27, 2026
Search Tags:#automation#research#synthesis#market-analysis#ai-research#literature-review#due-diligence
One-click install
npx skills add https://github.com/CenredJun/openclaw-claudecode-setup-kit --skill deep-research-cenredjun
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/CenredJun/openclaw-claudecode-setup-kit/tree/main/skills/deep-research
Command: npx skills add https://github.com/CenredJun/openclaw-claudecode-setup-kit --skill deep-research-cenredjun

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires httpx.

What problem does it solve?

This skill automates the planning, searching, reading, and synthesis of information to generate comprehensive research reports without manual, repetitive effort.

Core Features & Use Cases

  • Autonomous research planning and execution across markets, technologies, and literature.
  • Structured, cited reports suitable for executive summaries, due diligence, and product insights.
  • Use Case: Run a market landscape study and produce a concise, actionable report with key findings and recommendations.

Quick Start

Provide a topic to research and let the agent plan, search, read, and synthesize a comprehensive 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 multi-step research for market analysis and literature reviews?▼

You can automate multi-step research by providing a topic to an autonomous agent that plans, searches, reads, and synthesizes information into a comprehensive report. This process eliminates manual effort and generates structured, cited reports for market analysis or literature reviews.

Can I generate an autonomous due diligence report with cited sources automatically?▼

Yes, generating an autonomous due diligence report is possible by providing a topic to this agent. It autonomously plans and executes research, reading and synthesizing information to produce structured, cited reports suitable for executive summaries and due diligence.

Do I need a Gemini API key and Python 3.8 to run autonomous research synthesis?▼

Yes, autonomous research synthesis requires Python 3.8+ and a Gemini API key set as GEMINI_API_KEY. The httpx HTTP client is also needed to execute the automated searching, reading, and report generation.

What is the best way to structure a competitive landscaping report without manual searching?▼

Using an autonomous multi-step research agent is the best way to structure a competitive landscaping report without manual searching. It automatically plans, searches, reads, and synthesizes information into an actionable report with key findings and recommendations.

How to get an executive summary with key findings from a technical research topic?▼

Provide a technical research topic to this autonomous agent to get an executive summary with key findings. It executes multi-step research across technologies and literature, synthesizing the gathered information into a structured, cited report suitable for executive summaries.

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