deep-research

To generate a citation-rich research report, this skill coordinates multi-agent research by spawning parallel subagents to handle subtopics, synthesizing findings, and outputting a structured bibliography. It orchestrates an interview phase, reconnaissance, and parallel research for comprehensive results.

Multi-agent research is a structured workflow where specialized agents cover topic areas in parallel, collecting notes from web-search reconnaissance. A dedicated report-writer agent then centralizes and synthesizes these findings into a cohesive, well-cited final report with bibliographic output.

For in-depth analysis requiring breadth and depth, provide a research topic to initiate parallel researchers. The system orchestrates subtopics, conducts an interview phase, collects notes across many sources, and yields a comprehensive cited report with a full bibliography.

Yes, this multi-agent research approach satisfies requirements for structured research workflows by managing an interview phase, reconnaissance, parallel research, and synthesis. It is designed specifically to produce citation-rich reports and bibliographic outputs for comprehensive topic coverage.

The best way to orchestrate parallel subagents is using a collaborative orchestration system that spawns specialized agents to handle subtopics in parallel. This approach collects notes across many sources and centralizes findings into a structured, well-cited final report.

Yes, the research synthesis process includes a structured interview phase and reconnaissance before initiating parallel research. These preliminary stages ensure the dedicated report-writer has sufficient notes to synthesize findings into a cohesive, citation-rich report with a bibliography.