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Amazon Web Services · MLOps
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Finds or validates a usable SageMaker execution role before deploying or training, so scripts do not try to create IAM roles they lack permission to create. | huggingface/ | 11k | 1 repo | ~1.8k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 2 | Sets up an isolated Python environment with a supported interpreter and current boto3 before any SageMaker deployment, training or AWS automation code runs. | huggingface/ | 11k | 2 repos | ~1.7k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 3 | Runs ML training and batch jobs across clouds with SkyPilot, using spot instances, automatic region selection and managed recovery to cut GPU cost. | Orchestra-Research/ | 13k | 4 repos | ~2.4k | Automated safety check: Pass | MIT | 3 mo ago |
| 4 | Amazon SageMaker AI Operational Review. An agent skill from aws/tools-for-devops-agent. | aws/ | 103 | — | ~3.9k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 5 | Build comprehensive ML pipelines, experiment tracking, and model registries with MLflow, Kubeflow, and modern MLOps tools. | aiskillstore/ | 433 | 7 repos | ~2.8k | Automated safety check: Pass | No licence | yesterday |
| 6 | Selects, deploys, and customizes AI models on Amazon SageMaker. | aws/ | 2.8k | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | yesterday |
