Mmcp.market

golden-jupyter-dir skill

by yusufkaraaslan·yusufkaraaslan/Skill_Seekers·15k stars·MIT

Use when testing the golden_jupyter_dir golden build

A100/100content scan

Is the golden-jupyter-dir skill safe?

Clean: nothing in its files matched our rules. We read 6 files in the folder on 2026-09-28.

No findings.

Install the golden-jupyter-dir skill

A skill is a folder. Copy it into your agent's skills folder and the agent loads it when the task matches its description.

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
available in every project

In the Claude apps, zip the folder and upload it from the Skills settings. The folder on GitHub

The instructions your agent would load

SKILL.md as published, without the frontmatter. Read it on GitHub

GoldenJupyterDir Notebook Skill

Use when testing the goldenjupyterdir 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 goldenjupyterdir 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):

pip install pandas

Python Examples (3)

Example 1 (Quality: 9.5/10):

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):

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

Example 3 (Quality: 2.0/10):

%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

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