Deep Research Team
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
Claude Code
Cursor
Codex CLI
GitHub Copilot
Gemini CLI+20 moreClaude CodeCursorCodex CLIGitHub CopilotGemini CLI
OpenClaw
Manus
Grok+17 agentsdeep-research-team
Example session with this skill installed
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.
- Read your context and instructions
- Compiled the deep-research-team
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.
Connects securely to your tools. The creator never sees your data.
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
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.
- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
Skills folder by agent
Click the path to copy it. Create the folder if it does not exist yet.
Reviews
159 people have installed this skill.
Trust & safety
Security scanned
Verified clean 6 months ago
- Free to download with an account