Advanced Multi-Agent Research Orchestration

The Deep Research Team skill transforms your AI environment into a high-powered research laboratory. Instead of relying on a single prompt that may hallucinate or miss nuances, this skill deploys a structured team of specialized agents that work in parallel to investigate, cross-validate, and synthesize complex information into publication-ready reports.

What It Does

The skill automates a multi-phase research workflow designed for depth and accuracy:

Phase 0 (Planning): A PM Agent designs a custom research architecture and directory structure based on your specific topic.
Phase A (Parallel Research): Multiple specialized agents are dispatched simultaneously to investigate different facets of the topic, ensuring high throughput and diverse perspectives.
Phase B & C (Synthesis & Audit): A Synthesis Agent identifies patterns and contradictions across findings, while a Review Agent (powered by high-reasoning models) performs a critical quality audit.
Phase D (Delivery): A Final Report Agent assembles a comprehensive document with a separate executive summary and full source citations.

Why Use This Skill?

Standard AI prompting often lacks the breadth needed for professional due diligence. This skill is superior because it uses a file-system relay for agent communication, preventing the "context drift" associated with long chat threads. It supports both a Quick Mode for rapid overviews and a Full Mode for academic-grade investigations, complete with automated quality scoring and error-checking.

Output & Capabilities

The result is a structured workspace containing individual module findings, a synthesis report, and a final executive summary. Every fact is mapped to its primary source, making it ideal for competitive analysis, investment research, and technical due diligence.