Integrate the Foxglove embedded viewer and MCAP processing tools into NPA agent workflows.
npx skills add https://github.com/nebius/nebius-physical-ai --skill foxglove
Please help me install this Agent Skill. Skill: foxglove Source: https://github.com/nebius/nebius-physical-ai/tree/main/skills/tools/foxglove Command: npx skills add https://github.com/nebius/nebius-physical-ai --skill foxglove
This skill solves the complexity of integrating and debugging Foxglove viewers within the NPA agent environment, ensuring seamless playback of robotics data and MCAP recordings.
Use the foxglove skill to convert the current run artifacts into an MCAP file and load it into the viewer.
High-intent search queries and answers about installing and using this skill.
You can visualize robotics sensor data by converting run artifacts into MCAP format and loading them into an embedded Foxglove viewer for frame-by-frame playback and analysis. This integration manages the TypeScript SDK to render interactive data panes directly in the UI.
Debugging Foxglove viewer CORS issues requires the npa-foxglove-embed container and associated agent backend modules to manage cross-origin iframe communication and ensure seamless data streaming during playback.
Converting run artifacts into MCAP format is handled by integrated MCAP processing tools within the NPA agent workflow, preparing the telemetry data for direct loading into the embedded Foxglove viewer.
Yes, the Foxglove embedded viewer operates within the NPA agent environment by integrating the @foxglove/embed TypeScript SDK and managing cross-origin iframe communication to render interactive data panes.
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