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AWS Labs

AWS application development

Skills for building, deploying, and operating applications on AWS.

28Skills
23kStars
cao-learningBest skill

Featured skills

cao-learning

Report task outcomes and distill lessons so the team improves across runs — report_outcome after each unit of work,...

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aws-lambda-microvms

Build, run, debug, and operate applications on AWS Lambda MicroVMs — Firecracker-isolated, snapshot-resumable...

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dataset-evaluation

Validates dataset formatting and quality for SageMaker model fine-tuning (SFT, DPO, or RLVR).

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directory-management

Manages project directory setup and artifact organization.

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finetuning

Generates code that fine-tunes a base model using SageMaker serverless training jobs.

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finetuning-technique

Selects a fine-tuning technique (SFT, DPO, RLVR, or RLAIF) for the user's use case and validates it against the...

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hyperpod-cluster-debugger

Diagnose and remediate cluster-wide HyperPod (EKS or Slurm) problems — creation / deployment failures (CloudFormation,...

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hyperpod-issue-report

Used to generate comprehensive issue reports from HyperPod clusters (EKS and Slurm) by collecting diagnostic logs and...

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hyperpod-node-debugger

Diagnose and remediate per-node issues on a HyperPod cluster (EKS or Slurm) — a specific node is unhealthy,...

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hyperpod-performance-debugger

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

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hyperpod-slurm-debugger

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

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hyperpod-ssm

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

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