deep-research

Multi-source literature reviews with traceable citations are conducted by decomposing your topic, searching five focus areas in parallel, and synthesizing findings into a structured report. This workflow cross-validates evidence across 25+ sources for high reliability.

Parallel processing for evidence synthesis deploys multiple subagents to search distinct focus areas simultaneously. It works by decomposing a complex topic, gathering data concurrently, and cross-validating findings to produce a structured synthesis with cited outputs.

You can use this for market analysis and technology evaluations, as well as policy scans and gap analysis. It applies a phased workflow with parallel subagents to synthesize findings and deliver structured, cited reports for these use cases.

To start deep research, provide the research topic and scope. The skill will decompose it, search five focus areas in parallel, cross-validate sources, and deliver a structured, cited report synthesizing findings from 25+ sources.

The best way to structure sourced research insights is through a phased workflow with cross-source validation and traceable citations. This ensures credibility by synthesizing findings across 25+ sources into a structured report.

Automated parallel subagents for gap analysis require a clearly defined topic and scope to function effectively. Without proper scoping, the cross-source validation and evidence synthesis across 25+ sources may lack the focus needed for credible results.