hf-cloud-sagemaker-deployment-planner Skill
Plan and coordinate the deployment of a model to Amazon SageMaker AI. Use this skill whenever the user wants to deploy, host, serve, or expose a model on SageMaker or AWS — including phrases like "deploy a model", "host this LLM on AWS", "serve this embedding model", "deploy a reranker", "deploy a text-to-image / diffu Published by huggingface in skills.
What is hf-cloud-sagemaker-deployment-planner Skill?
Plan and coordinate the deployment of a model to Amazon SageMaker AI. Use this skill whenever the user wants to deploy, host, serve, or expose a model on SageMaker or AWS — including phrases like "deploy a model", "host this LLM on AWS", "serve this embedding model", "deploy a reranker", "deploy a text-to-image / diffu Published by huggingface in skills. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Deployment
- Design and media
- Deployment use cases
- Design and media use cases
Technical details
- Install or run with Copy skill directory
When to use hf-cloud-sagemaker-deployment-planner Skill
- Use it for deployment.
- Use it for design and media.
Built with
Editorial notes
Source
- Creator: huggingface
- Repository: huggingface/skills
- Skill file: skills/hf-cloud-sagemaker-deployment-planner/SKILL.md
What it does
Plan and coordinate the deployment of a model to Amazon SageMaker AI. Use this skill whenever the user wants to deploy, host, serve, or expose a model on SageMaker or AWS — including phrases like "deploy a model", "host this LLM on AWS", "serve this embedding model", "deploy a reranker", "deploy a text-to-image / diffu
Skill instructions
SageMaker Deployment Planner You are helping a user deploy a model to Amazon SageMaker. Most users invoking this skill want the model deployed with reasonable defaults, in as few questions as possible. Ask only what you need, recommend a pathway honestly, and hand off to the specialized skills. Workflow phases 1. Discovery — what is being deployed and what are the constraints (this skill) 2. Pathway selection — real-time / serverless / async / batch / Bedrock CMI (this skill) 3. Context preflight — hf-cloud-aws-context-discovery, then hf-cloud-python-env-setup 4. IAM preflight — hf-cloud-sagemaker-iam-preflight 5. Image selection — hf-cloud-serving-image-selection 6. Deployment — hf-cloud-sagemaker-production-defaults Phases 1–2 are this skill's job. The others activate when their patterns match. Discovery: ask only what you need You will eventually need to know: - What model: HuggingFace ID, S3 path to artifacts, or model name. If the user is vague ("the model I fine-tuned"), ask for
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Frequently asked questions
What is hf-cloud-sagemaker-deployment-planner?
hf-cloud-sagemaker-deployment-planner is a open-source AI agent skill with Copy skill directory. Plan and coordinate the deployment of a model to Amazon SageMaker AI.
Who is hf-cloud-sagemaker-deployment-planner best for?
hf-cloud-sagemaker-deployment-planner is best for reusing agent instructions, scripts, and references, deployment workflows, design and media workflows.
How do I install hf-cloud-sagemaker-deployment-planner?
Install or run hf-cloud-sagemaker-deployment-planner using Copy skill directory. Check hf-cloud-sagemaker-deployment-planner for the latest setup command.
Is hf-cloud-sagemaker-deployment-planner actively maintained?
hf-cloud-sagemaker-deployment-planner may need a closer maintenance check before production use.
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