hf-cloud-sagemaker-deployment-planner
hf-cloud-sagemaker-deployment-planner is an agent skill published by huggingface, listed under training models. It lives in the huggingface/skills repository, which has 11,213 GitHub stars and is licensed under Apache-2.0; we last read it on 2026-09-16.
Plan and coordinate the deployment of a model to Amazon SageMaker AI, including hosting, serving, or exposing models on AWS. This skill handles various requests such as deploying text-generation LLMs, embedding models, rerankers, classifiers, and text-to-image models, selecting the appropriate serving stack and inference method.
Install
skills is a generic installer for any repository of Claude agent skills -- it reads huggingface/skills’s own structure rather than assuming one, the same way this page reads the skill’s own SKILL.md rather than assuming a format.
npx skills add huggingface/skills
What it connects to
Unverified means a mention in the skill’s own description, not a citation. A wrong claim here costs nothing to correct and nothing to trust yet.
Maintenance
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 / diffusion model", "host this for async inference", "create an endpoint", "serve my fine-tuned model", or any request that involves making a model available for inference on AWS. Use this even when the user is vague (e.g. "I just want to get this running on AWS, you figure it out"). Works for text-generation LLMs, embedding models, rerankers, classifiers, text-to-image / diffusion models — picks the right serving stack and chooses between real-time and async inference. This is the entry-point skill for SageMaker deployment work — it asks clarifying questions, picks a deployment pathway, and coordinates the other deployment skills.
hf-cloud-sagemaker-deployment-planner compared with similar skills
| Skill | Publisher | What it does | Repo stars | Last update |
|---|---|---|---|---|
| hf-cloud-sagemaker-deployment-planner (this page) | huggingface | Plan and coordinate the deployment of a model to Amazon SageMaker AI. Use this skill whenever the user wants… | 11,213 | 2026-10-23 |
| hf-cloud-serving-image-selection(same repository) | huggingface | Pick the right serving container for a SageMaker model deployment and find its current image URI. Use this sk… | 11,213 | 2026-10-23 |
| huggingface-llm-trainer(same repository) | huggingface | Train or fine-tune language and vision models using TRL (Transformer Reinforcement Learning) or Unsloth with… | 11,213 | 2026-10-23 |
| huggingface-lora-space-builder(same repository) | huggingface | Build and publish a Gradio demo on Hugging Face Spaces for a user-provided LoRA. Use when someone asks to cre… | 11,213 | 2026-10-23 |
| huggingface-vision-trainer(same repository) | huggingface | Trains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classificat… | 11,213 | 2026-10-23 |
| train-sentence-transformers(same repository) | huggingface | Train or fine-tune sentence-transformers models across `SentenceTransformer` (bi-encoder, dense or static emb… | 11,213 | 2026-10-23 |
| trl-training(same repository) | huggingface | Post-train LLMs with TRL (Transformers Reinforcement Learning) — SFT, DPO, GRPO, KTO, and reward-model traini… | 11,213 | 2026-10-23 |
Skills from the same repository first, then others for this job by repository stars. Figures are from each repository when we last read it.
Common questions about hf-cloud-sagemaker-deployment-planner
- What does hf-cloud-sagemaker-deployment-planner do?
- Plan and coordinate the deployment of a model to Amazon SageMaker AI, including hosting, serving, or exposing models on AWS. This skill handles various requests such as deploying text-generation LLMs, embedding models, rerankers, classifiers, and text-to-image models, selecting the appropriate serving stack and inference method.
- How do I install hf-cloud-sagemaker-deployment-planner?
- Run npx skills add huggingface/skills. The skills installer reads the repository’s own structure, so it works for any repository of agent skills.
- Who publishes hf-cloud-sagemaker-deployment-planner?
- huggingface.
- Is hf-cloud-sagemaker-deployment-planner maintained, and what licence does it use?
- Its repository has 11,213 GitHub stars and its state in our directory is listed. Its last commit we recorded was on 2026-10-23. The repository declares the Apache-2.0 licence.
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