Deep Research Team
by 高紹育
Deploy a hierarchical team of AI agents to perform 15-30 minute deep-dive research with parallel execution.
Free
Works with the AI tools you already use
See it in action
You say
Run a quick research report on the state of the AI agent ecosystem in 2025 across platforms, technology, and business models. Use Quick Mode for a high-level overview.
Your agent does
Quick Mode output structure: ai_agent_ecosystem_2025/ ├── 00_planning/research_plan.md ├── 01_platforms/research.md + sources.md (27 sources) ├── 02_technology/research.md + sources.md (30 sources) ├── 03_business/research.md + sources.md (25 sources) └── final_report/executive_summary.md
Each research.md contains structured findings with data tables, key conclusions, and cross-references. Each sources.md logs every cited source with URL, type, confidence rating, and citation location. The executive summary synthesizes all modules into a single overview with key metrics, core findings, cross-module consensus/contradictions, and action recommendations.
About this skill
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.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
Reviews
108 people have installed this skill.
Trust & safety
Security scanned
Verified clean 4 months ago
- Free to download with an account
Creator
108+ total installs
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