golden-jupyter-topics skill
Use when testing the golden_jupyter_topics golden build
Is the golden-jupyter-topics 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-topics 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_topics ~/.claude/skills/golden-jupyter-topics
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
GoldenJupyterTopics Notebook Skill
Use when testing the goldenjupytertopics 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 goldenjupytertopics 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 pandasPython Examples (3)
Example 1 (Quality: 9.5/10):
def long_example():
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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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