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部署与运维 · SKILL.md

cloud-and-filesystems

cloud-and-filesystems

【部署与运维】Routes Raster Vision Docker, AWS Batch, AWS SageMaker, AWS S3, requester-pays/unsigned S3, GDAL VSI, CloudFormation, and bootstrap setup tasks.

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技能说明

GitHub

name: cloud-and-filesystems description: "Routes Raster Vision Docker, AWS Batch, AWS SageMaker, AWS S3, requester-pays/unsigned S3, GDAL VSI, CloudFormation, and bootstrap setup tasks." disable-model-invocation: true metadata: disco-role: operating license: NOASSERTION

Cloud, Docker, and Filesystems

Use this sub-skill when a Raster Vision task mentions Docker, AWS Batch, AWS SageMaker, AWS S3, requester-pays buckets, unsigned public S3 access, GDAL VSI, CloudFormation, ~/.rastervision/default, RV_CONFIG, RV_CONFIG_DIR, AWS_REQUEST_PAYER, AWS_NO_SIGN_REQUEST, or new-project bootstrap guidance.

Owns

  • Cloud transport choice and resource settings for Raster Vision runners.
  • Remote filesystem behavior and credential boundaries.
  • Docker command rendering and runtime flags.
  • Bootstrap guidance for image-based project scaffolding.
  • Troubleshooting for cloud, storage, GPU, and container setup.

Routes out

  • Pipeline command semantics and runner subcommand parsing -> pipeline-cli.
  • Data/model schemas, predictors, and bundles -> data-and-models.
  • PyTorch task recipes and example pipelines -> pytorch-workflows.

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