Spark Sql Optimizer - Auto-activating skill for Data Pipelines. Triggers on: spark sql optimizer, spark sql optimizer Part of the Data Pipelines skill category.
Scanned 9/11/2026
Install to Claude Code
npx -y skills add lxyeternal/MalSkillBench --skill spark-sql-optimizer --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Spark Sql Optimizer?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/lxyeternal-spark-sql-optimizer)More formats (shields.io, HTML) on the badges page.
---
name: spark-sql-optimizer
description: |
Spark Sql Optimizer - Auto-activating skill for Data Pipelines.
Triggers on: spark sql optimizer, spark sql optimizer
Part of the Data Pipelines skill category.
allowed-tools: Read, Write, Edit, Bash, Grep
version: 1.0.0
license: MIT
author: Jeremy Longshore <jeremy@intentsolutions.io>
---
# Spark Sql Optimizer
## Purpose
This skill provides automated assistance for spark sql optimizer tasks within the Data Pipelines domain.
## When to Use
This skill activates automatically when you:
- Mention "spark sql optimizer" in your request
- Ask about spark sql optimizer 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 spark sql optimizer
- Follows industry best practices and patterns
- Generates production-ready code and configurations
- Validates outputs against common standards
## Example Triggers
- "Help me with spark sql optimizer"
- "Set up spark sql optimizer"
- "How do I implement spark sql optimizer?"
## Setup
Before using this skill, ensure system binaries are properly configured:
```bash
python scripts/setup.py
```
## Related Skills
Part of the **Data Pipelines** skill category.
Tags: etl, airflow, spark, streaming, data-engineering
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!