deep-research

To conduct multisource research with cited findings, this skill decomposes complex questions into focus areas, gathers evidence across domains using web-search, and synthesizes structured reports with clear, traceable citations for decision-making.

Automating a literature review is achieved by coordinating subagents to map sources, evaluate evidence, and synthesize findings iteratively. It produces structured, citation-backed conclusions suitable for rigorous academic or policy analysis.

Yes, you can use this for market analysis and technology evaluation. It applies multi-angle perspectives to aggregate evidence, ensuring rigorous sourcing and structured synthesis for competitive assessment or decision-making scenarios.

Synthesis works by applying iterative refinement when new information emerges during research. The system continuously evaluates newly gathered web-search sources, updating the structured, citation-backed conclusions to maintain accuracy across all focus areas.

Deep research requires no specific dependencies or components to function. It autonomously coordinates subagents for comprehensive topic exploration, allowing you to initiate a deep-dive research process immediately without prerequisite environment setup.