# Ml Pipeline Architect

> Design automated ML training and retraining pipelines on Kubernetes with Argo Workflows or Kubeflow Pipelines, covering data validation, features, training, evaluation, registration, deployment, triggers, caching, and spot economics. Use for continuous training, ML DAGs, orchestrator selection, new-data or drift triggers, quality gates, conditional registration, pipeline parameters, checkpointing, or turning one-off scripts into repeatable workflows.

## Facts
- Page: https://tashan.sh/capability/skill-cloud-byte-consulting-ml-pipeline-architect
- tashan id: skill:Cloud-Byte-Consulting/ml-pipeline-architect
- Source: https://github.com/Cloud-Byte-Consulting/plugins
- Type: skill
- Category: other
- tashan score: not scored (catalogued only — too little public evidence)
- Adoption: 9.0
- Upkeep: 95.0
- Freshness: 90.0
- Evidence coverage: 84% of the inputs this score can use
- Health: active
- Instruction depth: not yet graded
- License: Apache-2.0
- Official: no

## Install

```sh
cp -r ml-pipeline-architect ~/.claude/skills/
```

## Security audit
Not scanned. We audit npm-published capabilities; this one has no npm package we can resolve, or has not reached the queue. This is not a clean bill of health.

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Measured 2026-08-22 by tashan (https://tashan.sh) from public evidence. Scorer s5.