supply-chain-digital-twin
Digital twin representation of supply chain for real-time monitoring and simulation
Profile →npx skills add a5c-ai/babysitter --skill supply-chain-digital-twin --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Supply Chain Digital Twin ## Overview The Supply Chain Digital Twin creates a virtual representation of the physical supply chain for real-time monitoring, predictive analytics, and simulation. It enables continuous optimization through what-if analysis and performance prediction. ## Capabilities - **Real-Time Supply Chain State Representation**: Live digital model - **Predictive Analytics Integration**: Forward-looking performance prediction - **Scenario Simulation**: What-if analysis on digital model - **Anomaly Detection**: Deviation identification from expected patterns - **Optimization Recommendation**: AI-driven improvement suggestions - **What-If Analysis**: Impact assessment of proposed changes - **Performance Prediction**: Future state forecasting - **Continuous Learning Integration**: Model improvement from actuals ## Input Schema ```yaml digital_twin_request: twin_scope: network_elements: array processes: array time_horizon: string real_time_feeds: erp_integration: object iot_sensors: array tracking_feeds: array model_configuration: physics_models: object ml_models: array business_rules: array simulation_scenarios: array prediction_horizon: string anomaly_detection_con
- Overview
- Capabilities
- Input Schema
- Output Schema
- Usage
- Real-Time Network Monitoring
- Predictive Performance Analysis
- What-If Scenario Analysis
- Integration Points
- Process Dependencies
- Best Practices
What does the supply-chain-digital-twin skill do?
Digital twin representation of supply chain for real-time monitoring and simulation
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill supply-chain-digital-twin --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.