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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System Dynamics Modeler
Model complex system dynamics with comprehensive feedback analysis and emergent behavior prediction: $ARGUMENTS
Current System Context
- System type: Based on $ARGUMENTS (business ecosystem, organizational dynamics, market evolution, feedback loops)
- System boundaries: Components, stakeholders, and environmental factors included in the model
- Key variables: Stock and flow variables, feedback mechanisms, and delay structures
- Behavior patterns: Current system performance and historical dynamics
Task
Build comprehensive system dynamics model with feedback loops and emergent behavior analysis:
System Type: Use $ARGUMENTS to model business ecosystems, organizational dynamics, market evolution, or feedback loop systems
System Dynamics Framework:
- System Architecture - Stock and flow identification, causal loop mapping, and boundary definition
- Feedback Structure - Reinforcing loops, balancing loops, and delay modeling with policy resistance analysis
- Dynamic Simulation - Time-based behavior analysis, scenario testing, and sensitivity analysis
- Emergent Behavior - Non-linear effects, unintended consequences, and system archetypes identification
- Policy Testing - Intervention analysis, leverage point identification, and strategy optimization
- Learning Laboratory - What-if experimentation, mental model testing, and insight generation
Advanced Features: Nonlinear modeling, stochastic elements, multi-level hierarchy modeling, and behavioral dynamics integration.
Strategic Applications: Policy design, organizational change, strategic planning, and complex problem solving with systems thinking.
Output: Complete system dynamics model with causal structure, simulation results, policy recommendations, and strategic insights for complex system optimization and management.