开发

digital-twin

Guides agents in designing, evaluating, governing, operating, evolving, and retiring digital twins and federated twin universes with synchronization, simulation, authority, and lifecycle controls.

★ 88 GitHub Stars
96 质量评分
12 文件

关于此 Skill

Design, build, evaluate, govern, monitor, evolve, and retire digital twins and federated twin universes for software systems, engineering processes, agentic software factories, infrastructure, and cyber-physical operations. Use when a task involves digital-twin architecture, digital thread, simulation, predictive maintenance, twin health, agent authority, or dark-factory design. Do not use for ordinary observability dashboards, static dependency graphs, generic AI governance, or operating one named infrastructure tool without a twin-specific representation and feedback loop.

使用场景

  • Design twin architectures and federations
  • Define synchronization, identity, provenance, and model contracts
  • Evaluate twin health, fidelity, drift, and uncertainty
  • Govern agent action authority and release decisions
  • Plan twin changes, recovery, and retirement

功能

  • Operating modes from read-only to supervised authority
  • Workflow for framing, classification, contracts, evaluation, and retirement
  • Reference guides for architecture, implementation, evaluation, governance, and lifecycle
  • Templates for twin manifests, evaluation plans, and release evidence
  • Guidance for software factory and cyber-physical twin boundaries

支持的 Agent

未指定

Skill 文件

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