Amazon Web Services · By awslabs

Evaluate, configure, and migrate workloads to AWS Lambda Managed Instances (LMI).

awslabs/agent-plugins

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

awslabs/agent-plugins

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

awslabs/agent-plugins

Find and select the best installed CAO agent profile for a task before delegating with assign or handoff.

awslabs/cli-agent-orchestrator

Scaffold and build cloud-native applications on AWS using @aws/nx-plugin generators.

awslabs/nx-plugin-for-aws

Implement a GitHub issue end-to-end — branch, code, test, docs, and commit.

awslabs/loom

Diagnostic-only skill for Slurm scheduler and node-daemon issues on Amazon SageMaker HyperPod Slurm clusters.

awslabs/agent-plugins

Remote command execution and file transfer on SageMaker HyperPod cluster nodes via AWS Systems Manager (SSM).

awslabs/agent-plugins

Find available CAO (CLI Agent Orchestrator) agent profiles, and talk to the conductor and worker terminals of a running CAO session, including unblocking a stuck worker.

awslabs/cli-agent-orchestrator

Selects a base model for the user's use case by querying SageMaker Hub.

awslabs/agent-plugins

Build, run, debug, and operate applications on AWS Lambda MicroVMs — Firecracker-isolated, snapshot-resumable serverless compute environments that run inside a container with up to 8-hour lifetimes.

awslabs/agent-plugins

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)…

awslabs/agent-plugins

Integrates Amazon Location Service APIs for AWS applications.

awslabs/agent-plugins

Build and deploy full-stack web and mobile apps with AWS Amplify Gen2 (TypeScript code-first).

awslabs/agent-plugins

Generate validated AWS architecture diagrams as draw.io XML using official AWS4 icon libraries.

awslabs/agent-plugins

Build resilient, long-running, multi-step applications with AWS Lambda durable functions with automatic state persistence, retry logic, and orchestration for long-running executions.

awslabs/agent-plugins

This skill should be used when the user asks to "analyze this codebase", "document this service", "generate technical docs", "I inherited this code", "help me understand this system", "create docs…

awslabs/agent-plugins

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

awslabs/agent-plugins

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…

awslabs/agent-plugins

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

awslabs/agent-plugins

Build, manage, and operate APIs with Amazon API Gateway (REST, HTTP, and WebSocket).

awslabs/agent-plugins

Design, build, deploy, test, and debug serverless applications with AWS Lambda.

awslabs/agent-plugins

AWS SAM and AWS CDK deployment for serverless applications. An agent skill from awslabs/agent-plugins.

awslabs/agent-plugins

Build workflows with AWS Step Functions state machines using the JSONata query language.

awslabs/agent-plugins

Deploy applications to AWS. An agent skill from awslabs/agent-plugins.

awslabs/agent-plugins

Deploy to AWS Elastic Beanstalk, in either Beanstalk Standard mode (EC2) or Beanstalk Cluster mode (managed EKS).

awslabs/agent-plugins

Validates the user's environment for SageMaker AI operations — checks SDK version, AWS region, and execution role.

awslabs/agent-plugins

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.

awslabs/agent-plugins