From domain-iot
Digital twin design patterns including state-based and simulation-based modeling, real-time state synchronization, predictive maintenance via simulation, what-if scenario analysis, 3D visualization, and platform guidance for Azure Digital Twins and AWS IoT TwinMaker.
npx claudepluginhub rnavarych/alpha-engineer --plugin domain-iotThis skill is limited to using the following tools:
- Designing a digital twin architecture from scratch (shadow vs twin vs simulation)
Searches, retrieves, and installs Agent Skills from prompts.chat registry using MCP tools like search_skills and get_skill. Activates for finding skills, browsing catalogs, or extending Claude.
Searches prompts.chat for AI prompt templates by keyword or category, retrieves by ID with variable handling, and improves prompts via AI. Use for discovering or enhancing prompts.
Designs, implements, and audits WCAG 2.2 AA accessible UIs for Web (ARIA/HTML5), iOS (SwiftUI traits), and Android (Compose semantics). Audits code for compliance gaps.
references/twin-modeling.md — maturity levels, state-based vs simulation-based twins, DTDL ontology design, example twin state documentreferences/sync-and-scenarios.md — device-to-twin and twin-to-device sync flows, consistency model, staleness handling, what-if sandbox implementationreferences/predictive-maintenance.md — RUL prediction approach, baseline modeling, degradation tracking, ML model selection (Isolation Forest, LSTM, Weibull)references/visualization-and-platforms.md — 3D visualization options (Three.js, BIM, Unreal), Azure Digital Twins, AWS IoT TwinMaker, Eclipse Ditto, FIWARE