/exporting-visualizations

Use when the user wants to SEE robot data — visualize, plot, replay, or export a log or query result from bagel to a viewer or training format (Rerun, Lichtblick, PlotJuggler, LeRobot).

BOOST

extelligence-ai@extelligence-ai

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bagel

4004 skills1 MCP

Install

$ npx -y skills add Extelligence-ai/bagel --skill exporting-visualizations --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.
You can call itInvoke it directly when you want it.
Slash command/exporting-visualizations

Context preview

The summary Claude sees to decide when to auto-load this skill.

Use when the user wants to SEE robot data — visualize, plot, replay, or export a log or query result from bagel to a viewer or training format (Rerun, Lichtblick, PlotJuggler, LeRobot).

SKILL.md

exporting-visualizations.SKILL.md

name: exporting-visualizations
description: Use when the user wants to SEE robot data — visualize, plot, replay, or export a log or query result from bagel to a viewer or training format (Rerun, Lichtblick, PlotJuggler, LeRobot).

Exporting visualizations

Pick the target by what the user is doing, then call the matching bagel export tool:

| User goal | Target | Why first choice | |---|---|---| | Explore/replay multimodal data (3D, images, series) | Rerun (`export_for_rerun`) | Best open-source robotics viewer | | Web-based bag review, Foxglove-style | Lichtblick (`export_for_lichtblick`) | Open-source; preferred over Foxglove | | Plot signals from an artifact on the desktop | PlotJuggler (`export_for_plotjuggler`) | Artifacts land on the host for it | | Build a training dataset | LeRobot (`export_for_lerobot`) | Direct dataset export |

Camera-topic GIFs for quick evidence come from the triage/pipeline workflows, not an export tool. Export artifacts land under the artifacts directory on the host — always report the output path.

Read it on GitHub ↗

Ships withbagel

Query robotics, drone, and IoT data in plain English through an MCP server, with an intelligent edge data reduction pipeline that keeps only the data that matters.

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