📓
DataPython

Golden Jupyter Dir

by yusufkaraaslan

Golden Jupyter Dir 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 Dir
Copy Golden Jupyter Dir 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_dir ~/.claude/skills/jupyter_dir

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_dir/SKILL.md in yusufkaraaslan/Skill_Seekers
Installs to
~/.claude/skills/jupyter_dir
Collection
One of 25 skills cataloged from this repository
Category
Data668 skills

What Golden Jupyter Dir does

Golden Jupyter Dir is a Jupyter notebook reference skill generated from the golden-jupyter-dir build, covering setup, data loading, evaluation, and modeling results with code examples, dependencies, and section navigation.

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

Documentation

README

Golden_Jupyter_Dir Notebook Skill

Use when testing the golden_jupyter_dir golden build

📋 Notebook Information

Kernel: Python 3

Language: python 3.11.4

💡 When to Use This Skill

Use this skill when you need to:

  • Understand golden_jupyter_dir 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:

  • Data Loading: 1 sections
  • Evaluation: 1 sections
  • Setup: 1 sections
  • Other: 2 sections

🔑 Key Concepts

Main topics covered in this notebook

Major Topics:

  • Getting Started

Subtopics:

  • Modeling Results

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

Frequently asked about Golden Jupyter Dir

  • What else does yusufkaraaslan publish alongside Golden Jupyter Dir?

    Golden Jupyter Dir 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 Dir 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 Dir compare to other Data skills?

    Golden Jupyter Dir ranks #117 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 Dir against them. Open each page to compare what they document and how they install.

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