dragonked2/alphacode/data-pipeline

Claude Code and agent skill by dragonked2/alphacode

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Design and optimize data pipelines: ETL patterns, stream processing, batch jobs, and data validation.

Install

npx vskill@latest install dragonked2/alphacode/data-pipeline

SKILL.md

Data Pipeline Skill

Design reliable, observable data pipelines.

Patterns

  • ETL: Extract from source → Transform → Load to destination
  • ELT: Extract → Load raw → Transform in place (data lake pattern)
  • Stream: Real-time processing with Kafka/Kinesis/Pulsar
  • Batch: Scheduled processing (daily/hourly)
  • Lambda: Batch + stream layers combined

Reliability Checklist

  • Idempotent operations (safe to retry)
  • Dead letter queues for failed messages
  • Checkpointing for restart recovery
  • Schema validation at boundaries
  • Backpressure handling
  • Circuit breakers for downstream failures
  • Monitoring: lag, throughput, error rate, data freshness

Data Validation

  • Validate schema at ingestion (reject bad data early)
  • Check for nulls, duplicates, out-of-range values
  • Monitor data freshness and completeness
  • Alert on anomalies (sudden drop in volume, spike in errors)

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

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