data-partitioner

Data Partitioner - Auto-activating skill for Data Pipelines. Triggers on: data partitioner, data partitioner Part of the Data Pipelines skill category.

1.03x

Quality

Does it follow best practices?

Impact

87%

1.03x

Average score across 3 eval scenarios

Securityby

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./planned-skills/generated/11-data-pipelines/data-partitioner/SKILL.md

Evaluation results

97%

Sales Data ETL Partitioning Pipeline

ETL partitioning with validation

Criteria

Without context

With context

Hierarchical partition structure

100%

Multi-key partitioning

100%

Error handling present

60%

70%

Logging to file

100%

Configurable parameters

100%

Validation report created

100%

Record count validation

100%

Data completeness check

100%

Partition key distribution

100%

Step-by-step structure

62%

100%

Without context: $0.3866 · 1m 27s · 23 turns · 24 in / 5,246 out tokens

With context: $0.4975 · 1m 48s · 28 turns · 27 in / 6,285 out tokens

80%

Customer Event Log Partitioning Workflow

Workflow orchestration with partitioned processing

Criteria

Without context

With context

DAG file created

100%

Transform module created

100%

Partitions by event type

100%

Handles missing event types

100%

90%

Extensible design

100%

60%

DAG uses task dependencies

100%

Error handling in transform

20%

50%

Output validation included

16%

Production config practice

100%

Design notes explain strategy

100%

Without context: $0.2823 · 1m 16s · 14 turns · 14 in / 4,240 out tokens

With context: $0.5792 · 2m 13s · 29 turns · 62 in / 8,196 out tokens

85%

-1%

IoT Sensor Stream Partitioning

Streaming data partitioning strategy

Criteria

Without context

With context

Partitions by sensor type

100%

Secondary partition by factory

100%

Skew analysis file created

100%

Skew threshold applied

100%

Record distribution reported

100%

Data completeness validation

40%

30%

Error handling present

Configurable paths

100%

README documents scheme

100%

README includes run instructions

100%

Step-by-step structure

100%

Without context: $0.4709 · 1m 40s · 23 turns · 24 in / 6,705 out tokens

With context: $0.5964 · 1m 58s · 28 turns · 61 in / 7,639 out tokens

Repository: jeremylongshore/claude-code-plugins-plus-skills
Commit: 0c08951

Evaluated: 17 days ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

Sales Data ETL Partitioning Pipeline Customer Event Log Partitioning Workflow IoT Sensor Stream Partitioning

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.