llm-d-incubation

llm-d-incubation/llm-d-skills

Plugin Claude Code

Agent skills for deploying, benchmarking, and tuning llm-d on Kubernetes and OpenShift.

llm-d-incubation/llm-d-skills

Skill Claude CodeCodex

Configure an EPP EndpointPickerConfig for an llm-d deployment based on workload + SLA inputs, then optionally deploy it to the user's cluster. Activate when the user asks about configuring llm-d, setting up the inference scheduler, tuning EPP plugins, choosing what config to use for a model or workload, or deploying…

llm-d-incubation/llm-d-skills

Skill Claude CodeCodex

Clears all KV / prefix cache tiers (GPU, CPU, and FS offload) on every vLLM pod in an llm-d deployment for a clean state — including both roles of a disaggregated prefill/decode setup. Use when the user wants to flush the cache, reset vLLM state, or start fresh before a test run — even if they don't say "cache"…

llm-d-incubation/llm-d-skills

Skill Claude CodeCodex

Compare the benchmark performance of two llm-d stack configurations end-to-end. For each configuration, deploys the stack, runs a benchmark, tears down, then generates a side-by-side results comparison. One configuration may already have been benchmarked previously — in that case, only the new configuration is…

llm-d-incubation/llm-d-skills

Skill Claude CodeCodex

Configure and deploy Workload Variant Autoscaler (WVA) for llm-d inference deployments. Guides users through namespace selection, WVA repo location, configuration (with presets or custom values), deployment via Makefile + kubectl apply, and verification. Produces a reusable deployment script.

llm-d-incubation/llm-d-skills

Skill Claude CodeCodex

Create or prepare GKE infrastructure (cluster, GPU node pools, RDMA/RoCE networking, DRA and DRANET drivers, Gateway API prerequisites) so that an llm-d stack can be deployed on it. Use this skill when users want to provision a new GKE cluster for llm-d, or make an existing GKE cluster llm-d-ready, especially for…

llm-d-incubation/llm-d-skills

Skill Claude CodeCodex

Configure and deploy an llm-d stack on an existing Kubernetes and OpenShift cluster using Well-Lit Path guides. Use this skill when users want to deploy, verify, or customize llm-d.

llm-d-incubation/llm-d-skills

Skill Claude CodeCodex

Benchmark an already-deployed llm-d stack using the llmdbenchmark CLI. Use this skill when the user wants to run a benchmark workload against a deployed llm-d stack — whether following a named guide (e.g. optimized-baseline, pd-disaggregation) or using a custom workload profile against any inference endpoint. Activate…

llm-d-incubation/llm-d-skills

Skill Claude CodeCodex

Tears down, removes, cleans up, or undeploys a deployed llm-d stack on Kubernetes. Use this skill whenever the user wants to remove or destroy an llm-d deployment, clean up a namespace after inference workloads, uninstall helm releases for llm-d, or free up cluster resources used by llm-d — even if they don't say…