pyspark-transformer
Pyspark Transformer - Auto-activating skill for Data Pipelines. Triggers on: pyspark transformer, pyspark transformer Part of the Data Pipelines skill category.
36
1.04x
Quality
3%
Does it follow best practices?
Impact
100%
1.04xAverage score across 3 eval scenarios
Securityby
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./planned-skills/generated/11-data-pipelines/pyspark-transformer/SKILL.mdPyspark Transformer
Purpose
This skill provides automated assistance for pyspark transformer tasks within the Data Pipelines domain.
When to Use
This skill activates automatically when you:
- Mention "pyspark transformer" in your request
- Ask about pyspark transformer 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 pyspark transformer
- Follows industry best practices and patterns
- Generates production-ready code and configurations
- Validates outputs against common standards
Example Triggers
- "Help me with pyspark transformer"
- "Set up pyspark transformer"
- "How do I implement pyspark transformer?"
Related Skills
Part of the Data Pipelines skill category. Tags: etl, airflow, spark, streaming, data-engineering
- Commit
0c08951
- Last updated
- Created
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.