deep-research

Multi-source information synthesis is achieved by integrating web and academic search tools like Metaso, Tavily, and ArXiv. The Skill extracts relevant content, cross-validates findings, and generates structured summaries to provide a comprehensive overview of complex topics.

A deep dive research process can directly include ArXiv by using the deep research mode. This mode orchestrates academic search alongside web search engines to retrieve papers, extract document content, and cross-reference technical documentation for comprehensive results.

Yes, you can extract content from web pages and documents to create structured summaries. The Skill uses integrated content extraction and document processing capabilities to pull relevant text from multiple sources and condense long reports into synthesized information.

The deep research mode supports cross-validation of market reports and technical documentation. It compares extracted information from multiple search sources to ensure accuracy and facilitate focused information synthesis for advanced research tasks.

Quick, standard, and deep research modes are provided to control multi-source search depth. Users can select a mode to orchestrate tools like Metaso and Tavily, adjusting the balance between rapid information retrieval and comprehensive content extraction with structured summarization.

You should not use a unified entry point for information synthesis if your research requires analyzing proprietary databases or local files not supported by the integrated search tools. The Skill is designed for orchestrating web and academic search, content extraction, and cross-referencing external sources.