data-partitioner
About
The data-partitioner skill automatically activates when developers mention "data partitioner" to provide assistance within Data Pipelines. It offers step-by-step guidance, generates production-ready code, and validates outputs against industry best practices. This skill is designed for tasks involving data partitioning patterns, ETL processes, and workflow orchestration.
Quick Install
Claude Code
Recommended/plugin add https://github.com/majiayu000/claude-skill-registrygit clone https://github.com/majiayu000/claude-skill-registry.git ~/.claude/skills/data-partitionerCopy and paste this command in Claude Code to install this skill
Documentation
Data Partitioner
Purpose
This skill provides automated assistance for data partitioner tasks within the Data Pipelines domain.
When to Use
This skill activates automatically when you:
- Mention "data partitioner" in your request
- Ask about data partitioner patterns or best practices
- Need help with data pipeline skills covering etl, data transformation, workflow orchestration, and streaming data processing.
Capabilities
- Provides step-by-step guidance for data partitioner
- Follows industry best practices and patterns
- Generates production-ready code and configurations
- Validates outputs against common standards
Example Triggers
- "Help me with data partitioner"
- "Set up data partitioner"
- "How do I implement data partitioner?"
Related Skills
Part of the Data Pipelines skill category. Tags: etl, airflow, spark, streaming, data-engineering
GitHub Repository
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