Manages Unified Access to Generative AI Services built on Envoy Gateway
$ npx skills add envoyproxy/ai-gatewayAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Achieve state of the art inference performance with modern accelerators on Kubernetes
Manages Unified Access to Generative AI Services built on Envoy Gateway
$ npx skills add envoyproxy/ai-gatewayDistributed AI Model Training and LLM Fine-Tuning on Kubernetes
$ npx skills add kubeflow/trainereBPF Observability - Distributed Tracing and Profiling
$ npx skills add deepflowio/deepflowCloud-Native distributed storage built on and for Kubernetes
$ npx skills add longhorn/longhornAutomated Machine Learning on Kubernetes
$ npx skills add kubeflow/katibAI Infrastructure Engineer Learning Track - Production ML infrastructure curriculum (2-4 years experience)
$ npx skills add ai-infra-curriculum/ai-infra-engineer-learningAI Inference Operator for Kubernetes. The easiest way to serve ML models in production. Supports VLMs, LLMs, embeddings, and speech-to-text.
$ npx skills add kubeai-project/kubeaiDistributed reliable key-value store for the most critical data of a distributed system
$ npx skills add etcd-io/etcdRun Kubernetes locally
$ npx skills add kubernetes/minikubeAn open source trusted cloud native registry project that stores, signs, and scans content.
$ npx skills add goharbor/harborThe Kubernetes Package Manager
$ npx skills add helm/helmProduction-Grade Container Scheduling and Management
$ npx skills add kubernetes/kuberneteseBPF-based Networking, Security, and Observability
$ npx skills add cilium/ciliumKubernetes Operations (kOps) - Production Grade k8s Installation, Upgrades and Management
$ npx skills add kubernetes/kopsBest Practices on Recommendation Systems
$ npx skills add recommenders-team/recommendersVitess is a database clustering system for horizontal scaling of MySQL.
$ npx skills add vitessio/vitessHow to choose
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep Llm D if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.