Decision Tree Explorer
Explore complex decision branches with probability analysis, expected value calculation, and optimization
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Decision Tree Explorer
Explore complex decision scenarios with comprehensive probability analysis and optimization: $ARGUMENTS
Current Decision Context
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:
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
# 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
Installation Runbook & Walkthrough Locked
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