vss-deploy-helm

name

vss-deploy-helm

description

Use this skill whenever a developer needs to deploy VSS to Kubernetes, helm install VSS, configure values.yaml for VSS, or run VSS on k8s with GPU/vLLM for the video-search-and-summarization sample app. This skill is especially useful when translating Docker Compose/setup.sh modes (--summary, --search, --summary-and-search/--unified, dual UI, ENABLE_VLLM, OVMS GPU/NPU) into the actual Helm chart override files and values keys. Prefer this skill for VSS Helm install/upgrade/troubleshooting even if the user only says “put VSS on k8s” or “make values.yaml for VSS”.

VSS Helm deploy

Use this workflow for the VSS sample app Helm chart at sample-applications/video-search-and-summarization/chart. The chart’s real dependencies are ovms, minioserver, audioanalyzer, postgresql, rabbitmq, videoingestion, videosearch, vdmsvectordb, multimodaldataprep, multimodalembeddingms, vectorretriever, vllm (alias of vllm-server), summaryui, and searchui (aliases of vssui).

If the user asks to map Compose or setup.sh settings to Helm values, read references/helm-values-map.md.

Environment setup (run first)

This skill drives the Video Search & Summarization app through its real source files, so the VSS application must be present and you must run commands from its app root. Do this before anything else, and it works whether or not the VSS source is already in your workspace.

Run the bundled bootstrap. It first tries to find an existing VSS checkout - walking up from the current directory and inspecting the enclosing git repo - and reuses it . Only when no checkout is found does it do a shallow, single-branch, sparse checkout of just from . It prints the resolved app root on stdout: