#coding-agent-skills
25 resources
Results
- hyperpod-nccl
Diagnose NCCL failures and adjacent training-pod failures on HyperPod GPU clusters (EKS or Slurm) — training hangs, AllReduce /…
- aws-step-functions
Build workflows with AWS Step Functions state machines using the JSONata query language.
- dsql
Build with Aurora DSQL — manage schemas, execute queries, handle migrations, diagnose query plans, diagnose cluster performance, load data,…
- aws-lambda-durable-functions
Build resilient, long-running, multi-step applications with AWS Lambda durable functions with automatic state persistence, retry logic, and orchestration…
- aws-lambda-managed-instances
Evaluate, configure, and migrate workloads to AWS Lambda Managed Instances (LMI).
- dataset-evaluation
Validates dataset formatting and quality for SageMaker model fine-tuning (SFT, DPO, or RLVR).
- dataset-transformation
Generates code that transforms datasets between ML schemas for model training or evaluation.
- hyperpod-cluster-debugger
Diagnose and remediate cluster-wide HyperPod (EKS or Slurm) problems — creation / deployment failures (CloudFormation, EFA health check,…
- hyperpod-issue-report
Generate comprehensive issue reports from HyperPod clusters (EKS and Slurm) by collecting diagnostic logs and configurations for troubleshooting and AWS…
- 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…
- hyperpod-performance-debugger
Diagnose performance issues on Amazon SageMaker HyperPod clusters — uneven NCCL bandwidth across nodes and poor filesystem throughput.
- hyperpod-slurm-debugger
Diagnostic-only skill for Slurm scheduler and node-daemon issues on Amazon SageMaker HyperPod Slurm clusters.
- hyperpod-ssm
Remote command execution and file transfer on SageMaker HyperPod cluster nodes via AWS Systems Manager (SSM).
- model-deployment
Generates code that deploys fine-tuned models from SageMaker Serverless Model Customization to SageMaker endpoints or Bedrock.
- model-selection
Selects a base model for the user's use case by querying SageMaker Hub.
- 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.
- 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,…
- amplify-workflow
Build and deploy full-stack web and mobile apps with AWS Amplify Gen2 (TypeScript code-first).
- api-gateway
Build, manage, and operate APIs with Amazon API Gateway (REST, HTTP, and WebSocket).
- aws-architecture-diagram
Generate validated AWS architecture diagrams as draw.io XML using official AWS4 icon libraries.
- aws-lambda
Design, build, deploy, test, and debug serverless applications with AWS Lambda.
- aws-lambda-microvms
Build, run, debug, and operate applications on AWS Lambda MicroVMs — Firecracker-isolated, snapshot-resumable serverless compute environments that run…
- aws-serverless-deployment
AWS SAM and AWS CDK deployment for serverless applications.
- document-service
Analyze codebases to produce structured technical documentation and architecture diagrams with source-of-truth citations.
- elastic-beanstalk
Deploy to AWS Elastic Beanstalk.
