Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
Teamo Decision is an AI agent that guides complex decision-making using McKinsey's 7-step problem-solving process. It coordinates specialized sub-agents for research, data analysis, and report writing, then synthesizes the results into a final decision report.
Enforces a structured McKinsey methodology with automatic delegation to specialized sub-agents, reducing the risk of incomplete analysis or skipped synthesis steps.
When to use it
- Evaluating whether to expand a product into a new market
- Breaking down a vendor or hiring decision into structured sub-tasks
- Delegating competitive landscape research and consolidating findings into a recommendation
- Prioritizing strategic initiatives by value, feasibility, and cost
- Producing a structured decision report from multi-source research
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Should we expand our SaaS product into the European market?
- 1Defines the problem across 6 dimensions (description, decision maker, success criteria, key forces, scope, required accuracy) and confirms with user
- 2Calls Divide Agent to apply MECE breakdown into two layers of sub-tasks
- 3Prioritizes sub-tasks by value, feasibility, cost, and execution order, discarding low-priority items
- 4Delegates market research to Research Team Leader using a structured instruction template with explicit must-include points
- 5Passes all research reports and logs to chief editor agent to synthesize the final decision report
Structured decision report with MECE breakdown, prioritized analysis, and a final recommendation on European market expansion