notebook-generator
CommunityCreate ready-to-run Databricks notebooks.
Authortalhayilmazai
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill generates ready-to-run Databricks notebooks to streamline testing of Rocks extension PySpark classes, reducing the need to run the full data pipeline during development.
Core Features & Use Cases
- Generate a Databricks-ready notebook for a given rocks_extension module, class, or config section.
- Include environment setup, optional class extension for testing, and metadata injection steps to enable isolated experimentation.
- Use Case: quickly validate changes to a Rocks class by running a focused notebook in Databricks and inspecting outputs.
Quick Start
Use the notebook generator to create a test notebook for BootsLookupTableGenerator. Save as notebooks/test_[module]_[class_name].ipynb and open it in Databricks to execute.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: notebook-generator Download link: https://github.com/talhayilmazai/ai-agent-in-customer-repository/archive/main.zip#notebook-generator Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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