digital-twin plugins

by NVIDIA

Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces, choose a path, validate your setup, and build practical NVIDIA-powered workflows.

by HeyGen

Create HeyGen avatar videos and personalized video messages. Build a persistent digital identity from a description or hosted photo URL, then generate presenter-led videos with your digital twin.

by HumanCompiler

Compile humans into AI agents through deep interviews. Conducts comprehensive behavioral interviews, analyzes work artifacts via MCP tools, and generates installable Claude Code plugins that embody a person's decision-making, communication style, and expertise.

by Matt Corbett

Digital-twin engineering team — agents (digital-twin-architect, twin-integration-engineer) for the layer answering 'what should this twin MODEL, at what FIDELITY, and does it MATCH the real asset?': twin taxonomy (asset vs process vs system-of-systems; descriptive/predictive/prescriptive; digital-shadow vs true bidirectional), only-as-much-fidelity-as-the-decision-needs, modeling approach (physics vs data-driven/surrogate/reduced-order vs hybrid), telemetry ingestion (MQTT/OPC-UA/Kafka, edge vs cloud), state sync/drift/calibration, simulation & what-if, and fidelity validation. Fluent in DTDL + Azure Digital Twins, ISO 23247, AAS, Eclipse Ditto, NVIDIA Omniverse, Unity/Unreal, Bentley/Siemens. skills, a knowledge bank (decision tree + 2026 patterns), and templates. Distinct from embedded-iot-engineering (device firmware), robotics-autonomous-systems-engineering (robot control/autonomy), and data-platform (BI/warehouse). Requires ravenclaude-core@>=0.7.0.

by NVIDIA

Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces, choose a path, validate your setup, and build practical NVIDIA-powered workflows.