Deep Research
Deep Research automates end-to-end investigation workflows by intelligently selecting and combining data sources—academic papers, domain-specific databases via ToolUniverse, and web results—to extract, analyze, and synthesize findings into structured reports. It decomposes research questions into multiple dimensions, orchestrates parallel data collection across sources, and produces publication-ready documents tailored to your inquiry.
Deep Research conducts multi-source investigations by combining arXiv papers, specialized databases, and web searches to generate professional research reports.
AI-generated summary based on this skill's SKILL.md
Decision gist · record as of 2026-05-09
Deep Research conducts multi-source investigations by combining arXiv papers, specialized databases, and web searches to generate professional research reports. Deep Research automates end-to-end investigation workflows by intelligently selecting and combining data sources—academic papers, domain-specific databases via ToolUniverse, and web results—to extract, analyze, and synthesize findings into structured reports. It decomposes research questions into multiple dimensions, orchestrates parallel data collection across sources, and produces publication-ready documents tailored to your inquiry.
Use it when
- Deep Research guides you through a structured methodology by breaking down your research question into multiple analytical dimensions.
- Deep Research provides advanced research analysis through intelligent source selection, multi-dimensional question decomposition.
Install
AgentTeam-TaichuAI/ScienceClaw/deep-research · repository language: Python
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Frequently asked questions
AI-generated answers based on this skill's SKILL.md and metadata
What is Deep Research and how does it work?
Deep Research automates end-to-end investigation workflows by intelligently selecting and combining data sources—academic papers, domain-specific databases via ToolUniverse, and web results—to extract, analyze, and synthesize findings into structured reports. It decomposes research questions into multiple dimensions and orchestrates parallel data collection across sources to produce publication-ready documents tailored to your inquiry.
How to do deep research using this tool effectively?
Deep Research guides you through a structured methodology by breaking down your research question into multiple analytical dimensions. The tool then orchestrates parallel data collection across academic papers, specialized databases, and web sources. It extracts relevant information, synthesizes findings, and compiles everything into a comprehensive, publication-ready report without requiring manual source coordination.
What in-depth research capabilities does Deep Research offer?
Deep Research provides advanced research analysis through intelligent source selection, multi-dimensional question decomposition, and parallel data collection. It accesses academic papers and domain-specific databases via ToolUniverse alongside web results, then synthesizes extracted findings into structured, detailed reports designed for publication and professional use.
Can Deep Research handle thorough investigation across multiple sources?
Yes, Deep Research excels at thorough investigation by automatically combining multiple data sources—academic papers, specialized databases, and web results—into a single coordinated workflow. The tool manages parallel data collection, extracts insights from each source, and synthesizes everything into comprehensive findings without requiring you to manually navigate between platforms.
What kind of research output does Deep Research produce?
Deep Research produces publication-ready documents that compile findings from its multi-source analysis. These structured reports reflect the tool's synthesis of extracted information across academic papers, domain-specific databases, and web sources, organized according to your research question's multiple dimensions and ready for professional or academic use.
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