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Amazon Web Services · awslabs/agent-plugins
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Evaluate, configure, and migrate workloads to AWS Lambda Managed Instances (LMI). | awslabs/ | 916 | — | ~4k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 2 | Generate comprehensive issue reports from HyperPod clusters (EKS and Slurm) by collecting diagnostic logs and configurations for troubleshooting and AWS Support cases. | awslabs/ | 916 | — | ~890 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 3 | Diagnose performance issues on Amazon SageMaker HyperPod clusters — uneven NCCL bandwidth across nodes and poor filesystem throughput. | awslabs/ | 916 | — | ~4.1k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 4 | Diagnostic-only skill for Slurm scheduler and node-daemon issues on Amazon SageMaker HyperPod Slurm clusters. | awslabs/ | 916 | — | ~3.3k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 5 | Remote command execution and file transfer on SageMaker HyperPod cluster nodes via AWS Systems Manager (SSM). | awslabs/ | 916 | — | ~1.3k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 6 | Selects a base model for the user's use case by querying SageMaker Hub. | awslabs/ | 916 | — | ~844 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 7 | 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/ | 916 | 1 repo | ~4.1k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 8 | 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/ | 916 | — | ~910 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 9 | Integrates Amazon Location Service APIs for AWS applications. | awslabs/ | 916 | — | ~4k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 10 | Build and deploy full-stack web and mobile apps with AWS Amplify Gen2 (TypeScript code-first). | awslabs/ | 916 | — | ~3.2k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 11 | Generate validated AWS architecture diagrams as draw.io XML using official AWS4 icon libraries. | awslabs/ | 916 | — | ~3.8k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 12 | 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/ | 916 | — | ~2.3k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 13 | 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/ | 916 | — | ~4.4k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 14 | 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/ | 916 | — | ~3.6k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 15 | 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/ | 916 | — | ~3.4k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 16 | Generates code that deploys fine-tuned models from SageMaker Serverless Model Customization to SageMaker endpoints or Bedrock. | awslabs/ | 916 | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 17 | Build, manage, and operate APIs with Amazon API Gateway (REST, HTTP, and WebSocket). | awslabs/ | 916 | — | ~4.9k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 18 | Design, build, deploy, test, and debug serverless applications with AWS Lambda. | awslabs/ | 916 | — | ~3.1k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 19 | AWS SAM and AWS CDK deployment for serverless applications. An agent skill from awslabs/agent-plugins. | awslabs/ | 916 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 20 | Build workflows with AWS Step Functions state machines using the JSONata query language. | awslabs/ | 916 | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 21 | Deploy applications to AWS. An agent skill from awslabs/agent-plugins. | awslabs/ | 916 | — | ~665 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 22 | Deploy to AWS Elastic Beanstalk, in either Beanstalk Standard mode (EC2) or Beanstalk Cluster mode (managed EKS). | awslabs/ | 916 | — | ~3.1k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 23 | Validates the user's environment for SageMaker AI operations — checks SDK version, AWS region, and execution role. | awslabs/ | 916 | — | ~248 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 24 | 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/ | 916 | — | ~1k | Automated safety check: Pass | Apache-2.0 | yesterday |
