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dataviewer Skill

AI Agent SkillPythonOpen source

Start and interact with the Dataset Analysis Tool (dataviewer) for browsing, annotating, and exporting robotic training episodes Published by microsoft in physical-ai-toolchain.

What is dataviewer Skill?

Start and interact with the Dataset Analysis Tool (dataviewer) for browsing, annotating, and exporting robotic training episodes Published by microsoft in physical-ai-toolchain. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
49/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Data analysis
  • Data analysis use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use dataviewer Skill

  • Use it for data analysis.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/physical-ai-toolchain
  • Skill file: .github/skills/dataviewer/SKILL.md

What it does

Start and interact with the Dataset Analysis Tool (dataviewer) for browsing, annotating, and exporting robotic training episodes

Skill instructions

Dataviewer Skill Launch and interact with the Dataset Analysis Tool — a full-stack application for analyzing and annotating robotic training data from episode-based datasets. Prerequisites | Platform | Requirement | |----------|-------------| | All | Python 3.12+, Node.js 18+, npm, uv | The backend virtual environment and frontend nodemodules are auto-created on first launch by start.sh. Launch and Connect Workflow Follow these steps in order every time the dataviewer is started. Step 1 — Start the app Launch start.sh as a background terminal process. The script prints [OK] Both services are running and the URLs when both services are healthy. bash cd data-management/viewer && ./start.sh With a custom dataset path: bash cd data-management/viewer && DATADIR=/path/to/datasets ./start.sh Step 2 — Open SimpleBrowser After confirming both services are running (look for [OK] Backend is healthy in terminal output), open the frontend in VS Code's SimpleBrowser using the openbrowserpage tool: t

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Frequently asked questions

What is dataviewer?

dataviewer is a open-source AI agent skill with Copy skill directory. Start and interact with the Dataset Analysis Tool (dataviewer) for browsing, annotating, and exporting robotic training episodes

Who is dataviewer best for?

dataviewer is best for reusing agent instructions, scripts, and references, data analysis workflows.

How do I install dataviewer?

Install or run dataviewer using Copy skill directory. Check dataviewer for the latest setup command.

Is dataviewer actively maintained?

dataviewer may need a closer maintenance check before production use.

Share:

Stars
94
Forks
48
Last commit
9 days ago
Repository age
5 months
License
MIT

Auto-fetched from GitHub.

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