claude

skillry-data-ml-ai-engineering

Data and ML engineering: data pipelines, ETL/ELT, data quality & validation, feature engineering, notebook hygiene, model training/serving, experiment tracking, and dataset versioning.

9 on GitHubby FluxonLabv3.4.1MITupdated 4 days ago
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Plugin skillry-data-ml-ai-engineering from marketplace skillry in FluxonLab/Skillry. Commands read from the repo's manifest — 4 days ago.

What it installs

Skills (1)

  • data-pipeline-review

    Data and ML pipelines: ETL/ELT, data quality, lineage, training reproducibility, model serving, notebooks.

Subagents (2)

  • data-engineer

    Use when you need to build, implement, or repair data pipelines, ETL/ELT loads, data quality checks, and dataset versioning. This agent makes focused changes and applies fixes to pipeline code.

  • ml-pipeline-reviewer

    Use when you need a read-only review of an ML training or serving pipeline for reproducibility, data leakage, checkpointing, experiment tracking, serving patterns, versioning, rollback, and drift monitoring.

View source on GitHub fluxonlab.com

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