sagemaker-ai

Partner, reviewed

Build, train, and deploy AI models with deep AWS AI/ML expertise brought directly into your coding assistants, covering the surface area of Amazon SageMaker AI.

Plugin · by awslabs · runs in Claude Code, Cowork, claude.ai · 19 skills, 1 MCP server · listed 2026-04-17

Claude Code

claude plugin install sagemaker-ai

Source

Skills (19)

Skill dataset-evaluation

Validates dataset formatting and quality for SageMaker model fine-tuning (SFT, DPO, or RLVR). Use when the user says "is my dataset okay", "evaluate my data", "check my training data", "I have my…

Any agent
```
npx skills add awslabs/agent-plugins --skill dataset-evaluation
```
Skill dataset-transformation

Generates code that transforms datasets between ML schemas for model training or evaluation. Use when the user says "transform", "convert", "reformat", "change the format", or when a dataset's…

Any agent
```
npx skills add awslabs/agent-plugins --skill dataset-transformation
```
Skill directory-management

Manages project directory setup and artifact organization. Use when starting a new project, resuming an existing one, or when a PLAN.md needs to be associated with a project directory.

Any agent
```
npx skills add awslabs/agent-plugins --skill directory-management
```
Skill finetuning

Generates code that fine-tunes a base model using SageMaker serverless training jobs. Use when the user says "start training", "fine-tune my model", "I'm ready to train", or when the plan reaches…

Any agent
```
npx skills add awslabs/agent-plugins --skill finetuning
```
Skill finetuning-technique

Selects a fine-tuning technique (SFT, DPO, RLVR, or RLAIF) for the user's use case and validates it against the selected model's available recipes.

Any agent
```
npx skills add awslabs/agent-plugins --skill finetuning-technique
```
Skill hyperpod-cluster-debugger

Diagnose and remediate cluster-wide HyperPod (EKS or Slurm) problems — creation / deployment failures (CloudFormation, EFA health check, lifecycle scripts, capacity), EKS access, node replacement…

Any agent
```
npx skills add awslabs/agent-plugins --skill hyperpod-cluster-debugger
```
Skill hyperpod-issue-report

Generate comprehensive issue reports from HyperPod clusters (EKS and Slurm) by collecting diagnostic logs and configurations for troubleshooting and AWS Support cases.

Any agent
```
npx skills add awslabs/agent-plugins --skill hyperpod-issue-report
```
Skill hyperpod-nccl

Diagnose NCCL failures and adjacent training-pod failures on HyperPod GPU clusters (EKS or Slurm) — training hangs, AllReduce / collective-op timeouts, EFA or libfabric errors, rendezvous failures…

Any agent
```
npx skills add awslabs/agent-plugins --skill hyperpod-nccl
```
Skill hyperpod-node-debugger

Diagnose and remediate per-node issues on a HyperPod cluster (EKS or Slurm) — a specific node is unhealthy, unresponsive, stuck, or needs replacing.

Any agent
```
npx skills add awslabs/agent-plugins --skill hyperpod-node-debugger
```
Skill hyperpod-performance-debugger

Diagnose performance issues on Amazon SageMaker HyperPod clusters — uneven NCCL bandwidth across nodes and poor filesystem throughput. Read-only.

Any agent
```
npx skills add awslabs/agent-plugins --skill hyperpod-performance-debugger
```
Skill hyperpod-slurm-debugger

Diagnostic-only skill for Slurm scheduler and node-daemon issues on Amazon SageMaker HyperPod Slurm clusters. Scope mirrors the HyperPod troubleshooting guide.

Any agent
```
npx skills add awslabs/agent-plugins --skill hyperpod-slurm-debugger
```
Skill hyperpod-ssm

Remote command execution and file transfer on SageMaker HyperPod cluster nodes via AWS Systems Manager (SSM). This is the primary interface for accessing HyperPod nodes — direct SSH is not available.

Any agent
```
npx skills add awslabs/agent-plugins --skill hyperpod-ssm
```
Skill hyperpod-version-checker

Check and compare software component versions on SageMaker HyperPod cluster nodes - NVIDIA drivers, CUDA toolkit, cuDNN, NCCL, EFA, AWS OFI NCCL, GDRCopy, MPI, Neuron SDK (Trainium/Inferentia)…

Any agent
```
npx skills add awslabs/agent-plugins --skill hyperpod-version-checker
```
Skill model-deployment

Generates code that deploys fine-tuned models from SageMaker Serverless Model Customization to SageMaker endpoints or Bedrock.

Any agent
```
npx skills add awslabs/agent-plugins --skill model-deployment
```
Skill model-evaluation

Generates python code that evaluates SageMaker models. Supports two evaluation types: LLM-as-Judge and Custom Scorer. Use when the user says "evaluate my model", "run a benchmark", "test model…

Any agent
```
npx skills add awslabs/agent-plugins --skill model-evaluation
```
Skill model-selection

Selects a base model for the user's use case by querying SageMaker Hub. Use when the user asks which model to use, wants to select or change their base model, mentions a model name or family (e.g.…

Any agent
```
npx skills add awslabs/agent-plugins --skill model-selection
```
Skill planning

Discovers user intent and generates a structured, step-by-step plan for model customization workflows. This skill must always be activated alongside any other skill when the user's request relates…

Any agent
```
npx skills add awslabs/agent-plugins --skill planning
```
Skill sdk-getting-started

Validates the user's environment for SageMaker AI operations — checks SDK version, AWS region, and execution role. Use when the user says "set up", "getting started", "check my environment"…

Any agent
```
npx skills add awslabs/agent-plugins --skill sdk-getting-started
```
Skill use-case-specification

Creates a reusable use case specification file that defines the business problem, stakeholders, and measurable success criteria for model customization, as recommended by the AWS Responsible AI Lens.

Any agent
```
npx skills add awslabs/agent-plugins --skill use-case-specification
```

From Anthropic's public plugin directory, read on 2026-10-16. Find a skill by task.