spark-engineer
Use when writing Spark jobs, debugging performance issues, or configuring cluster settings for Apache Spark applications, distributed data processing pipelines, or big data workloads. Invoke to write DataFrame transformations, optimize Spark SQL queries, implement RDD pipelines, tune shuffle operations, configure executor memory, process .parquet files, handle data partitioning, or build structured streaming analytics.
94
1.05x
Quality
100%
Does it follow best practices?
Impact
89%
1.05xAverage score across 6 eval scenarios
Securityby
Passed
No known issues
No security issues found
Scanned
- Repository
- jeffallan/claude-skills
- Commit
5b76101
- Audited
- Security analysis
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