Guide ADPA Digital Twin architectures for event-driven state changes and asset management.
npx skills add https://github.com/mdresch/adpa --skill adpa-digital-twin
Please help me install this Agent Skill. Skill: adpa-digital-twin Source: https://github.com/mdresch/adpa/tree/main/adpa-digital-twin Command: npx skills add https://github.com/mdresch/adpa --skill adpa-digital-twin
Architecture and implementation guidance for the ADPA Digital Twin POC. Use when modifying physical assets, event-driven state changes, or trigger rules.
Configure a digital twin project by defining asset types, event sources, and trigger rules, then deploy the event-driven processing flow.
High-intent search queries and answers about installing and using this skill.
Event-driven state changes for a digital twin are implemented by processing external events to update asset state snapshots, evaluating trigger rules, and generating documents without directly writing to the asset state table.
Row-level security on digital twin asset tables is enforced by applying access constraints across all data schemas, ensuring that event-driven state changes and asset management operations adhere to strict platform security boundaries.
AzureDT and iTwin are fully supported platform types for digital twin asset management, alongside a Generic option, allowing you to register physical assets and process state changes across diverse enterprise environments.
Trigger rules in a digital twin architecture evaluate event-driven state changes against defined conditions, automatically initiating document generation workflows when specific asset state criteria are met.
Direct writes to the digital twin asset states table are prohibited to maintain data integrity, ensuring all state snapshots are captured exclusively through the controlled event-driven processing flow.
Configuring an event-driven digital twin processing flow requires defining asset types, identifying event sources, and establishing trigger rules to deploy scalable physical asset monitoring and state evaluation.
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