Trusted skills for AI agents from official vendors and established maintainers. Every skill is attributed to its author, scanned, and comes with install steps for your AI tool.
5813 skills
AWS LabsOfficial
Provides remote command execution and file transfer capabilities for SageMaker HyperPod cluster nodes via AWS Systems Manager.
AWS LabsOfficial
Build, run, and manage Firecracker-isolated, snapshot-resumable serverless compute environments with AWS Lambda MicroVMs.
AWS LabsOfficial
Guides users through selecting and confirming an appropriate base model from SageMaker Hub for their specific use case.
AWS LabsOfficial
Automated AWS deployment workflow that analyzes codebases to recommend, estimate, and generate infrastructure-as-code.
AWS LabsOfficial
A comprehensive guide for building and deploying full-stack web and mobile applications using the AWS Amplify Gen2 TypeScript code-first approach.
AWS LabsOfficial
Guidance for building AWS Step Functions state machines using Amazon States Language and JSONata.
AWS LabsOfficial
Validates dataset formatting and quality for Amazon SageMaker model fine-tuning and evaluation.
AWS LabsOfficial
Generates comprehensive, source-cited technical documentation and architecture diagrams for existing codebases.
AWS LabsOfficial
Comprehensive guide and toolset for developing, migrating, and managing Amazon Aurora DSQL serverless distributed databases.
AWS LabsOfficial
Automates the transformation of machine learning datasets between different schemas for training or evaluation.
AWS LabsOfficial
Guides users in selecting and validating fine-tuning techniques for machine learning models.
AWS LabsOfficial
Orchestrates model customization workflows by generating, tracking, and managing structured task plans.
AWS LabsOfficial
Generates deployment code for fine-tuned Nova and OSS models from SageMaker Serverless Model Customization to SageMaker or Bedrock.
AWS LabsOfficial
Deploy and manage web and worker applications on AWS using Elastic Beanstalk's Standard or Cluster modes.
AWS LabsOfficial
Build resilient, long-running, and stateful serverless workflows on AWS Lambda using the Durable Execution SDK.
AWS LabsOfficial
Standardizes project directory structures and artifact organization for AI-assisted development.
AWS LabsOfficial
Diagnose and remediate per-node health issues on Amazon HyperPod clusters (EKS or Slurm).
AWS LabsOfficial
Generates SageMaker serverless training code for fine-tuning base models using various techniques.
AWS LabsOfficial
Evaluate, configure, and migrate high-volume, predictable workloads to AWS Lambda Managed Instances (LMI).
AWS LabsOfficial
Integrates Amazon Location Service APIs for maps, geocoding, routing, and tracking in AWS applications.
AWS LabsOfficial
Diagnostic tool for identifying Slurm scheduler and node-daemon issues on Amazon SageMaker HyperPod clusters.
AWS LabsOfficial
Diagnose performance bottlenecks in Amazon SageMaker HyperPod clusters by analyzing host-side signals and filesystem throughput.
AWS LabsOfficial
Modernize, migrate, and analyze codebases for AWS readiness, tech debt, and security.
AWS LabsOfficial
Automate the collection of diagnostic logs and configurations from AWS HyperPod clusters for troubleshooting and support.