Decision Tree Explorer
Explore complex decision branches with probability analysis, expected value calculation, and optimization
npx claude-code-templates@latest --command simulation/decision-tree-explorer Scanned by NVIDIA SkillSpector
Automated static analysis (no LLM) · v2.12.0 · 2026-10-23
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Content
Decision Tree Explorer
Explore complex decision scenarios with comprehensive probability analysis and optimization: $ARGUMENTS
Current Decision Context
- Decision scope: Based on $ARGUMENTS (strategic, investment, operational, crisis response)
- Available options: Current alternatives under consideration
- Success criteria: Key metrics for decision evaluation
- Resource constraints: Limitations affecting available choices
Task
Create comprehensive decision tree analysis for optimal choice selection:
Decision Context: Use $ARGUMENTS to analyze strategic decisions, investments, operations, or crisis responses
Decision Framework:
- Option Generation - Comprehensive alternative identification including hybrid and innovative approaches
- Probability Assessment - Systematic likelihood estimation using base rates, expert judgment, and market data
- Expected Value Analysis - Multi-dimensional value calculation including financial, strategic, and risk factors
- Sensitivity Analysis - Critical assumption testing and break-even analysis
- Risk Assessment - Comprehensive risk identification, impact analysis, and mitigation strategies
- Optimization Engine - Multi-criteria decision analysis with stakeholder preference integration
Advanced Analytics: Monte Carlo simulations, real options valuation, decision path optimization, and robustness testing.
Implementation Integration: Connect analysis to specific actions, success metrics, and contingency planning.
Output: Complete decision tree with probability-weighted outcomes, expected value calculations, risk assessments, and strategic recommendations with implementation guidance.