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The skill is an instruction-only Apache Spark engineering guide whose requirements and instructions align with its stated purpose and do not request extra credentials or install arbitrary software.
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"changelog": "Initial release of spark-engineer skill.\n\n- Provides expert support for building and optimizing Apache Spark applications, ETL pipelines, and streaming analytics.\n- Covers workflows for requirement analysis, pipeline design, implementation, optimization, and validation.\n- Includes reference guides for DataFrame API, Spark SQL, RDD operations, partitioning, caching, performance tuning, and streaming.\n- Lists critical best practices and anti-patterns for production Spark workloads.\n- Supplies structured output templates including code, configurations, partitioning strategies, performance analysis, and monitoring advice.",
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"summary": "Use when building Apache Spark applications, distributed data processing pipelines, or optimizing big data workloads. Invoke for DataFrame API, Spark SQL, RDD operations, performance tuning, streaming analytics.",
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