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Jupyter Maintainer

  • 1 repo stars
  • Updated April 21, 2026
  • jtpio/jp-claude-plugin

Tools for maintaining Jupyter ecosystem repositories

About

jupyter-maintainer is a Claude Code skill in the AI & Agent Building category. Tools for maintaining Jupyter ecosystem repositories

  • jupyter-maintainer
  • AI & Agent Building
  • AI-coding skill

Jupyter Maintainer by the numbers

  • Data as of Jul 7, 2026 (Skillselion catalog sync)
/plugin marketplace add jtpio/jp-claude-plugin
/plugin install jupyter-maintainer@jp-claude-plugin

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repo stars1
Last updatedApril 21, 2026
Repositoryjtpio/jp-claude-plugin

What it does

Tools for maintaining Jupyter ecosystem repositories

README.md

jp-claude-plugin

Claude Code plugin for maintaining Jupyter ecosystem repositories.

Note: This is currently experimental and may be moved to https://github.com/jupyterlab/maintainer-tools.

Installation

/plugin marketplace add jtpio/jp-claude-plugin
/plugin install jupyter-maintainer@jp-claude-plugin

Commands

Command Description
/update-playwright-snapshots Update Playwright test snapshots from failed CI test reports

Skills

Skills are invoked automatically by Claude when their triggers match the current task.

Skill Triggers on
galata-tests Writing, modifying, or debugging Galata UI tests for JupyterLab, JupyterLab extensions, Jupyter Notebook, JupyterLite, or any project using @jupyterlab/galata.

/update-playwright-snapshots

Extracts "actual" images from snapshot mismatch failures in CI and updates the baseline snapshots in the repository.

  • Finds failed UI test workflow runs for the current PR
  • Downloads test report artifacts
  • Matches report PNGs to snapshot files by MD5 hash
  • Copies updated snapshots to the correct locations

Works with JupyterLab, Jupyter Notebook, and other Jupyter repos using Playwright for UI testing.

galata-tests

Guides Claude through writing idiomatic Galata tests: project setup (playwright.config.js, jupyter_server_test_config.py, package.json), the helper landscape on page.*, fixtures (autoGoto, tmpPath, mockSettings, etc.), canonical patterns, visual regression, Jupyter Server API mocking via galata.Mock.*, and common pitfalls. Deliberately does not catalog the full API surface — points Claude at the Galata source to look up current signatures.

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