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heady-decision-theater

Design structured decision frameworks with MCDA and probabilistic simulations.

1|Updated Mar 24, 2026
Search Tags:#collaboration#risk-analysis#monte-carlo#mcda#scenario-simulation#decision-aid#decision-theater
One-click install
npx skills add https://github.com/HeadyAI/heady-context --skill heady-decision-theater
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: heady-decision-theater
Source: https://github.com/HeadyAI/heady-context/tree/main/heady-skills/heady-decision-theater
Command: npx skills add https://github.com/HeadyAI/heady-context --skill heady-decision-theater

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Heady Decision Theater provides a structured framework to design, simulate, and deliberate on complex decisions, enabling consistent reasoning, traceable analysis, and collaborative decision-making across teams.

Core Features & Use Cases

  • Structured decision modeling with MCDA definitions, criteria, and options
  • Scenario modeling and probabilistic simulations to explore outcomes
  • Collaborative deliberation workflows with audit trails and transparent rationale
  • Integrations with heady-montecarlo, heady-vinci, heady-battle, heady-critique, HeadyMemory, heady-traces, and headyconnection-core
  • Use case: strategic planning under uncertainty, risk assessment, and multi-stakeholder decisions

Quick Start

Define a decision question and stakeholder set, then run a basic Monte Carlo comparison of two options.

Frequently Asked Questions about heady-decision-theater

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is MCDA and when do I need multi-criteria decision analysis for scenario simulation?▼

A decision theater structures collaborative deliberation by modeling options, running Monte Carlo simulations, and generating immutable audit trails. It provides transparent rationale for multi-stakeholder decisions, replacing ad-hoc analysis with consistent, traceable reasoning.

How do I set up a Monte Carlo comparison to simulate decision outcomes?▼

Define a decision question and stakeholder set, then configure your options and evaluation criteria within the structured MCDA framework. Run a probabilistic simulation to compare scenarios, with resulting models stored in HeadyMemory for persistent access.

Does collaborative risk analysis work for multi-stakeholder strategic planning teams?▼

Yes, collaborative risk analysis supports multi-stakeholder teams by providing deliberation workflows with immutable audit trails in heady-traces. This ensures transparent rationale and traceable analysis across all participating stakeholders during strategic planning.

Can I integrate Monte Carlo probabilistic simulations with other decision-aid tools?▼

Yes, probabilistic simulations integrate directly with heady-montecarlo, heady-vinci, heady-battle, heady-critique, and headyconnection-core. These integrations enable end-to-end scenario modeling and comprehensive collaborative deliberation workflows.

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