eks-genai

eks-genai is an MLOps & model serving skill for AI agents, published by aws-samples in the sample-apex-skills repository on GitHub. Skillspace rates eks-genai D (67/100) and it passed the safety scan; the rating is based on static analysis only.

Use whenever someone is building, training, fine-tuning, or serving a generative AI / LLM workload on Amazon EKS — phrased as "GPU vs Trainium/Inferentia", "vLLM on EKS", "Ray Serve / KubeRay", "distributed training on EKS", "FSx for Lustre for ML", "Karpenter for GPU", "EFA / NCCL multi-node", "DCGM / Neuron Monitor", "LiteLLM / AI gateway", "RAG on EKS", "agentic AI on EKS", or "self-host Llama / Mistral / Qwen". Walks the opinionated 6-layer stack (compute → cluster/scheduler → frameworks → storage → observability → AI gateway), the GPU-vs-Neuron decision, the JARK + vLLM + LiteLLM canonical reference, KV-cache tiering, cost levers (Neuron, Spot, Capacity Blocks), and a non-negotiable security baseline. Trigger even if "GenAI" is never said — any GPU/Neuron, inference-serving, or distributed-training decision on EKS qualifies. Skip for SageMaker-only or Bedrock-only (no self-hosting) asks, and for generic cluster design/build with no AI/ML workload (use eks-design / eks-build).

Grade
D
Quality
67 / 100
Safety
Passed
GitHub stars
35

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubaws-samples/sample-apex-skills

Our review

Architecture
94 / 100
Maturity
Structured: ships references or scripts
Security scan
Low-risk patterns
License
MIT-0
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • mentions secrets in text

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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