Decision Tree Explorer

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Explore complex decision branches with probability analysis, expected value calculation, and optimization

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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:

    1
    Option Generation - Comprehensive alternative identification including hybrid and innovative approaches
    2
    Probability Assessment - Systematic likelihood estimation using base rates, expert judgment, and market data
    3
    Expected Value Analysis - Multi-dimensional value calculation including financial, strategic, and risk factors
    4
    Sensitivity Analysis - Critical assumption testing and break-even analysis
    5
    Risk Assessment - Comprehensive risk identification, impact analysis, and mitigation strategies
    6
    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.

    How to Use & Getting Started

    Protected

    # Step 1: Initialize skill agent setup

    npx skills add Decision Tree Explorer --install-production

    python -m pip install -r requirements.txt

    codex plugin install Decision Tree Explorer@latest

    export API_KEY=secret_token_key_here

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