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Dani
054c0e56e9
Removed the deprecated 'model: sonnet' field from command frontmatter to fix compatibility issues with Claude Code. Commands will now inherit the model from the active conversation instead of using a hardcoded deprecated model identifier. Changes: - Removed 'model: sonnet' from 142 command files across all categories - Commands now use default model inheritance behavior - Preserved 'model: claude-sonnet-4-5-20250929' in gemini-review.md (valid model) - 67 commands without model field remain unchanged This resolves the "model: sonnet not found" error reported in GitHub issues and aligns with Claude Code's recommended practice of letting commands inherit the conversation model. Affected categories: - Database/Supabase commands (8 files) - Documentation commands (8 files) - Deployment commands (11 files) - Setup commands (14 files) - Performance commands (8 files) - Team commands (14 files) - Security commands (6 files) - NextJS/Vercel commands (10 files) - Sync commands (14 files) - And more across other categories 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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allowed-tools: Read, Write, Edit, WebSearch
argument-hint: [decision-context] | --strategic | --investment | --operational | --crisis-response
description: Explore complex decision branches with probability analysis, expected value calculation, and optimization
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.