foryourhealth111-pixel/preprocessing-data-with-automated-pipelines
bundled/skills/preprocessing-data-with-automated-pipelines/SKILL.md
Design and implement repeatable preprocessing pipelines for cleaning, encoding, transforming, and validating ML input data. In governed ML routing this skill is a stage assistant: it helps on preprocessing-heavy steps after the main route owner is chosen, and should not take over the whole ML workflow by itself.
$ install --global
skillsauthnpx skillsauth add foryourhealth111-pixel/vco-skills-codex preprocessing-data-with-automated-pipelinesInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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SKILL.md
- name:
- preprocessing-data-with-automated-pipelines
- description:
- |
- In governed ML routing this skill is a stage assistant:
- it helps on preprocessing-heavy steps after the main route owner is chosen, and should not take over the whole ML workflow by itself.
- allowed-tools:
- Read, Write, Edit, Grep, Glob, Bash(cmd:*)
- version:
- 1.0.0
- author:
- Jeremy Longshore <[email protected]>
- license:
- MIT
Data Preprocessing Pipeline
Positioning
In governed ML routing, treat this skill as a stage assistant. It is for preprocessing-heavy execution after the pack owner is chosen.
When to Use
Use this skill when:
- Prepare raw data for machine learning models.
- Automate data cleaning and transformation processes.
- Implement a robust ETL (Extract, Transform, Load) pipeline.
Not For / Boundaries
- Whole-task ML ownership: use
scikit-learn,ml-pipeline-workflow, ortraining-machine-learning-models - Leakage and prediction-time auditing: use
ml-data-leakage-guard - Grouped scientific preprocessing with stronger methodological constraints: use
scientific-data-preprocessing
Typical Outputs
- A preprocessing pipeline plan or implementation sketch
- Clear sequencing for clean, encode, transform, and validate steps
- Handoff notes for leakage review, training, or evaluation
Related Skills
ml-data-leakage-guardbefore trusting fitted preprocessing stepssplitting-datasetswhen the next narrow problem is partition strategy
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