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awslabs/agent-plugins

Official
installs
2.6K
skills
32

Install

$ npx -y skills add awslabs/agent-plugins --agent claude-code

Installs into .claude/skills of the current project.

Skills

awslabs avataraws-architecture-diagramGenerate validated AWS architecture diagrams as draw.io XML using official AWS4 icon libraries. Use this skill whenever the user wants to create, generate, or d321installs
awslabs avataraws-lambdaDesign, build, deploy, test, and debug serverless applications with AWS Lambda. Triggers on phrases like: Lambda function, event source, serverless application,253installs
awslabs avatardeployDeploy applications to AWS. Triggers on phrases like: deploy to AWS, host on AWS, run this on AWS, AWS architecture, estimate AWS cost, generate infrastructure.236installs
awslabs avatardirectory-managementManages 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 w175installs
awslabs avataruse-case-specificationCreates a reusable use case specification file that defines the business problem, stakeholders, and measurable success criteria for model customization, as reco175installs
awslabs avatarplanningDiscovers user intent and generates a structured, step-by-step plan for model customization workflows. This skill must always be activated alongside any other s160installs
awslabs avataraws-serverless-deploymentAWS SAM and AWS CDK deployment for serverless applications. Triggers on phrases like: use SAM, SAM template, SAM init, SAM deploy, CDK serverless, CDK Lambda co148installs
awslabs avatardataset-evaluationValidates 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", "147installs
awslabs avatarfinetuningGenerates 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 146installs
awslabs avatarmodel-deploymentGenerates code that deploys fine-tuned models from SageMaker Serverless Model Customization to SageMaker endpoints or Bedrock. Use when the user says "deploy my146installs
awslabs avatardataset-transformationGenerates code that transforms datasets between ML schemas for model training or evaluation. Use when the user says "transform", "convert", "reformat", "change 145installs
awslabs avatarhyperpod-ssmRemote command execution and file transfer on SageMaker HyperPod cluster nodes via AWS Systems Manager (SSM). This is the primary interface for accessing HyperP142installs
awslabs avatarhyperpod-version-checkerCheck and compare software component versions on SageMaker HyperPod cluster nodes - NVIDIA drivers, CUDA toolkit, cuDNN, NCCL, EFA, AWS OFI NCCL, GDRCopy, MPI, 141installs
awslabs avatarhyperpod-issue-reportGenerate comprehensive issue reports from HyperPod clusters (EKS and Slurm) by collecting diagnostic logs and configurations for troubleshooting and AWS Support139installs
awslabs avatarmodel-evaluationGenerates python code that evaluates SageMaker models. Supports two evaluation types: LLM-as-Judge and Custom Scorer. Use when the user says "evaluate my model"131installs
awslabs avataramazon-location-serviceIntegrates Amazon Location Service APIs for AWS applications. Use this skill when users want to add maps (interactive MapLibre or static images); geocode addres0installs
awslabs avataramplify-workflow'Build and deploy full-stack web and mobile apps with AWS Amplify Gen20installs
awslabs avatarapi-gateway>0installs
awslabs avataraws-lambda-durable-functions>0installs
awslabs avataraws-lambda-managed-instances>0installs
awslabs avataraws-transformMigrate, modernize, and upgrade codebases to AWS. Transforms .NET Framework to .NET 8/10, mainframe COBOL to Java, VMware VMs to EC2, SQL Server to Aurora, and 0installs
awslabs avatardocument-serviceActivate this when you inherit an undocumented codebase and need to understand what it actually does.0installs
awslabs avatardsqlBuild with Aurora DSQL — manage schemas, execute queries, handle migrations, diagnose query plans, load data, and develop applications with a serverless, distri0installs
awslabs avatarelastic-beanstalkDeploy to AWS Elastic Beanstalk. Triggers on: elastic beanstalk, EB, managed EC2 platform, web app with managed patching, worker on EC2, Heroku alternative, don0installs
awslabs avatarfinetuning-techniqueSelects 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. Use when the0installs
awslabs avatarhyperpod-cluster-debuggerDiagnose and remediate cluster-wide HyperPod (EKS or Slurm) problems — creation / deployment failures (CloudFormation, EFA health check, lifecycle scripts, capa0installs
awslabs avatarhyperpod-ncclDiagnose NCCL failures and adjacent training-pod failures on HyperPod GPU clusters (EKS or Slurm) — training hangs, AllReduce / collective-op timeouts, EFA or l0installs
awslabs avatarhyperpod-node-debuggerDiagnose and remediate per-node issues on a HyperPod cluster (EKS or Slurm) — a specific node is unhealthy, unresponsive, stuck, or needs replacing. Covers on-n0installs
awslabs avatarhyperpod-performance-debuggerDiagnose performance issues on Amazon SageMaker HyperPod clusters — uneven NCCL bandwidth across nodes and poor filesystem throughput. Read-only. Surfaces host-0installs
awslabs avatarhyperpod-slurm-debuggerDiagnostic-only skill for Slurm scheduler and node-daemon issues on Amazon SageMaker HyperPod Slurm clusters. Scope mirrors the HyperPod troubleshooting guide. 0installs
awslabs avatarmodel-selectionSelects 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, m0installs
awslabs avatarsdk-getting-startedValidates the user's environment for SageMaker AI operations — checks SDK version, AWS region, and execution role. Use when the user says "set up", "getting sta0installs