Golden Jupyter Dir logo

Golden Jupyter Dir

CommunityPopular
yusufkaraaslan
golden-jupyter-dir

Use when testing the golden_jupyter_dir golden build

Overview

Publisheryusufkaraaslan
RepositorySkill_Seekers
Skill namegolden-jupyter-dir
Stars
15K
Forks
1.5K
Bundled files
5
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by yusufkaraaslan on GitHub. Read the source before you install it.

Installation

Install the Golden Jupyter Dir AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/yusufkaraaslan/Skill_Seekers.git /tmp/Skill_Seekers
mkdir -p .claude/skills
cp -r /tmp/Skill_Seekers/tests/golden/phase2/jupyter_dir .claude/skills/golden-jupyter-dir
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Golden Jupyter Dir in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Golden Jupyter Dir on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Golden Jupyter Dir is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

📦 Dependencies

3 package(s) imported

  • numpy
  • pandas
  • sklearn

⚡ Quick Reference

Common documentation patterns found:

Getting Started (1 sections):

  • Getting Started (section 1)

Modeling (1 sections):

  • Modeling Results (section 5)

📝 Code Examples

High-quality code cells from notebook

Bash Examples (1)

Example 1 (Quality: 5.0/10):

bash
pip install pandas

Python Examples (3)

Example 1 (Quality: 9.5/10):

python
def long_example():
    x0 = 0
    x1 = 1
    x2 = 2
    x3 = 3
    x4 = 4
    x5 = 5
    x6 = 6
    x7 = 7
    x8 = 8
    x9 = 9
    x10 = 10
    x11 = 11
    x12 = 12
    x13 = 13
    x14 = 14
    x15 = 15
    x16 = 16
    x17 = 17
    x18 = 18
    x19 = 19
    x20 = 20
    x21 = 21
    x22 = 22
    x23 = 23
    x24 = 24
    x25 = 25
    x26 = 26
    x27 = 27
    x28 = 28
    x29 = 29
    x30 = 30
    x31 = 31
    x32 = 32
    x33 = 33
    x34 = 34
    x35 = 35
    x36 = 36
    x37 = 37
    x3
...

In [2] (Quality: 7.5/10):

python
import pandas as pd
df = pd.read_csv('data.csv')
df.head()

Example 3 (Quality: 2.0/10):

python
%timeit broken()

📊 Notebook Statistics

  • Total Sections: 5
  • Code Cells: 2
  • Markdown Cells: 2
  • Raw Cells: 1
  • Notebooks: 1
  • Programming Languages: 2

Language Breakdown:

  • python: 3 code cells
  • bash: 1 code cells

🗺️ Navigation

Reference Files:

  • references/section_s2-s2.md - Data Loading
  • references/section_s5-s5.md - Evaluation
  • references/section_s1-s1.md - Setup
  • references/section_s3-s4.md - Other

See references/index.md for complete notebook structure.

Generated by Skill Seeker | Jupyter Notebook Scraper

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Golden Jupyter Dir AI skill do?

Use when testing the golden_jupyter_dir golden build

Why use Golden Jupyter Dir on TypingMind?

Because you install it once and use it with any model. Golden Jupyter Dir is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Golden Jupyter Dir in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/yusufkaraaslan/Skill_Seekers/tree/development/tests/golden/phase2/jupyter_dir. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Golden Jupyter Dir?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Golden Jupyter Dir?

As many as you like. As long as a model supports skills, you can use Golden Jupyter Dir with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Golden Jupyter Dir AI skill free?

Yes. It is published on GitHub by yusufkaraaslan under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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