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Apache Spark · SQL

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1

Guides writing and tuning Apache Spark jobs: DataFrame and RDD code, Spark SQL, partitioning, caching, shuffle tuning and structured streaming.

Jeffallan/claude-skills12k1 repo~1.7kAutomated safety check: PassMIT6 days ago
2

A skill your agent uses when the user is writing datafusion-python (Apache DataFusion Python bindings) DataFrame or SQL code.

apache/datafusion-python607—~7.8kAutomated safety check: PassApache-2.0yesterday
3

Analyze DBSQL queries, including SQL embedded in notebooks (spark.sql(...), %sql cells), for anti-patterns, lint issues, and performance problems, using Databricks-specific dialect and platform…

AltimateAI/data-engineering-skills128—~6.7kAutomated safety check: PassMITyesterday
4

Use Databricks built-in AI Functions (aiclassify, aiextract, aisummarize, aimask, aitranslate, aifixgrammar, aigen, aianalyzesentiment, aisimilarity, aiparsedocument, aiprepsearch, aiquery…

databricks/databricks-agent-skills345—~3.9kAutomated safety check: PassUnknowntoday
5

Upgrade Apache Spark applications between major versions (2.x→3.x, 3.x→4.x).

OpenHands/extensions161—~1.9kAutomated safety check: PassMITtoday
6

Assists with benchmarking and profiling the performance of an Apache Spark UDF on the GPU.

Kilo-Org/kilo-marketplace190—~802Automated safety check: PassProprietary11 days ago
7

Best practices for building performant, testable PySpark ETL pipelines with Spark SQL and Apache Iceberg.

Mindrally/skills269—~2.5kAutomated safety check: PassApache-2.0today