Golden Jupyter

Golden Jupyter is a Data skill for Claude Code, published by yusufkaraaslan in Skill_Seekers.

14.8K stars1.5K forkson yusufkaraaslan/Skill_SeekersAdded 2026/08/14Repository updated 2026/08/09

ai-toolsast-parserautomationclaude-aiclaude-skillscode-analysisconflict-detectiondocumentationdocumentation-generatorgithubgithub-scrapermcpmcp-servermulti-sourceocrpdfpythonweb-scraping

Install in seconds

Install Golden Jupyter

Copy Golden Jupyter into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/yusufkaraaslan/Skill_Seekers/tree/development/tests/golden/phase2/jupyter ~/.claude/skills/jupyter

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/yusufkaraaslan/Skill_Seekers.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: tests/golden/phase2/jupyter/SKILL.md in yusufkaraaslan/Skill_Seekers
Installs to: ~/.claude/skills/jupyter
Collection: One of 25 skills cataloged from this repository
Category: Data — 668 skills

What Golden Jupyter does

Golden Jupyter documents code examples, dependencies, and section structure from a Python data analysis notebook, helping you reproduce its analysis steps. Use it to reference methodology, visualizations, and library usage patterns.

Golden Jupyter is cataloged under Data on DirSkills. Golden Jupyter comes from a repository tagged ai-tools, ast-parser, automation, claude-ai and claude-skills.

Documentation

README

Excerpt

Understand golden_jupyter concepts and analysis workflow
Reference code examples and their outputs
Reproduce data analysis or computation steps
Review methodology, visualizations, and results
Find library usage patterns and best practices

📖 Section Overview

Total Sections: 5

Content Breakdown:

analysis: 5 sections

🔑 Key Concepts

Main topics covered in this notebook

Major Topics:

Getting Started

Subtopics:

Modeling Results

📦 Dependencies

3 package(s) imported

numpy
pandas
sklearn

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Golden Jupyter

What else does yusufkaraaslan publish alongside Golden Jupyter?
Golden Jupyter is one of 25 skills that DirSkills catalogs from yusufkaraaslan/Skill_Seekers, the repository it ships in. Its siblings there include Create Skill, Golden Chat and Golden Chat Empty. Each one is a separate skill with its own page in this directory, installs the same way Golden Jupyter does, and is maintained by yusufkaraaslan in that same repository. The rest of the collection is listed on the yusufkaraaslan/Skill_Seekers page.
How does Golden Jupyter compare to other Data skills?
Golden Jupyter ranks #116 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Golden Jupyter against them. Open each page to compare what they document and how they install.