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spark-optimization

Optimize Apache Spark jobs with partitioning, caching, shuffle optimization, and memory tuning. Use when improving Spark performance, debugging slow jobs, or scaling data processing pipelines.

81

1.28x
Quality

78%

Does it follow best practices?

Impact

77%

1.28x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./tests/ext_conformance/artifacts/agents-wshobson/data-engineering/skills/spark-optimization/SKILL.md

The canonical home for this skill is spark-optimization in wshobson/agents

SKILL.md
Quality
Evals
Security

Evaluation results

54%

-17%

E-Commerce Order Attribution Pipeline with Skewed Data

Data skew handling and partitioning strategy

Criteria
Without this skill
With this skill

Skew detection

100%

100%

Salt column added

100%

0%

Salted key column

50%

0%

Other side exploded

100%

0%

AQE skew factor

0%

100%

AQE skew threshold

100%

100%

Coalesce not repartition

0%

0%

Repartition with key

100%

0%

Write with partitionBy

100%

100%

Memory configuration

100%

100%

Partition count config

100%

100%

Parquet snappy

0%

100%

77%

2%

Multi-Feature ML Feature Engineering Pipeline

Caching, persistence, and iterative pipeline patterns

Criteria
Without this skill
With this skill

MEMORY_AND_DISK cache

100%

100%

Cache before multiple actions

100%

100%

Unpersist after use

100%

50%

Checkpoint used

0%

0%

Checkpoint dir set

0%

0%

approx_count_distinct used

100%

100%

No Python UDFs

100%

100%

No large collect

100%

100%

No count for existence

100%

100%

AQE enabled

100%

100%

Kryo serializer

0%

100%

100%

24%

Sales Analytics Pipeline Optimization

Join optimization and session configuration

Criteria
Without this skill
With this skill

AQE enabled

100%

100%

AQE coalesce partitions

100%

100%

AQE skew join

100%

100%

Kryo serializer

100%

100%

Shuffle partitions

100%

100%

Broadcast join hint

100%

100%

Broadcast threshold config

100%

100%

Shuffle compression

0%

100%

Compression codec lz4

0%

100%

mergeSchema false

100%

100%

Column pruning

0%

100%

maxPartitionBytes config

100%

100%

Repository
Dicklesworthstone/pi_agent_rust
Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

Table of Contents

Is this your skill?

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