nvidia/k8s-launch-kit · Archived

k8s-launch-kit-pipeline

Use this skill when the user wants to run the full k8s-launch-kit (l8k) pipeline end-to-end: discover cluster hardware, select a profile, generate manifests, and deploy them all in one command.

First seen Jun 22, 2026

Installation

$ npx skills add nvidia/k8s-launch-kit --skill k8s-launch-kit-pipeline

Summary

  • Use this skill when the user wants to run the full k8s-launch-kit (l8k) pipeline end-to-end: discover cluster hardware, select a profile, generate manifests, and deploy them all in one command.
  • Also activate for CI/CD integration, automation pipelines, 'one-liner', 'complete workflow', or end-to-end NVIDIA networking deployment.

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Repository health

Stars 16
License LICENSE
Default branch main
Open issues 2
Status Archived

Skill metadata

Parsed from SKILL.md frontmatter.

Version1.1.2
More metadata
requires
{"skills":["k8s-launch-kit-shared"]}

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 5,357 B
  • docs SUMMARY.md 361 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 4 installs

SKILL.md

l8k: Full Pipeline

PREREQUISITE: Read ../k8s-launch-kit-shared/SKILL.md for install paths, global flags, and output modes.

Run discovery + generation + deployment as a single command.

The pipeline operates on the default host target. Omitting --target keeps the established behavior; --target host is equivalent. Do not select dpf until l8k schema reports all required DPF phases as available. The root command snapshots its arguments and runs the complete concrete Host pipeline as one bound target operation.

Usage

The root command chains all phases in one invocation:

l8k --discover-cluster-config [--kubeconfig <PATH>] \
  --fabric <FABRIC> --deployment-type <TYPE> \
  --save-deployment-files <DIR> --deploy

Or use subcommands for a two-step approach:

l8k discover --save-cluster-config ./cluster-config.yaml && \
l8k generate --user-config ./cluster-config.yaml \
  --save-deployment-files <DIR> --deploy

The subcommand flow does not need to repeat profile flags: discovery resolves and persists them. Pass profile flags to either command only as explicit overrides.

Examples

# Full pipeline: discover + SR-IOV Ethernet + deploy (root command)
l8k --discover-cluster-config \
  --kubeconfig ~/.kube/config \
  --fabric ethernet --deployment-type sriov \
  --save-deployment-files ./output --deploy

# Full pipeline: Spectrum-X
l8k --discover-cluster-config \
  --kubeconfig ~/.kube/config \
  --spectrum-x RA2.2 --multiplane-mode hwplb --number-of-planes 4 \
  --save-deployment-files ./output --deploy

# Non-default operator namespace (applies to generate/deploy only — discover
# always uses its own nvidia-k8s-launch-kit namespace)
l8k --discover-cluster-config \
  --kubeconfig ~/.kube/config \
  --network-operator-namespace network-operator \
  --fabric ethernet --deployment-type sriov \
  --save-deployment-files ./output --deploy

# Agent / CI mode
l8k --discover-cluster-config \
  --kubeconfig ~/.kube/config \
  --fabric ethernet --deployment-type sriov \
  --save-deployment-files ./output --deploy \
  --output json --yes 2>/dev/null

# Pipeline with dry-run (validate everything, apply nothing)
l8k --discover-cluster-config \
  --kubeconfig ~/.kube/config \
  --fabric ethernet --deployment-type sriov \
  --save-deployment-files ./output --deploy --dry-run

# Subcommand alternative: discover then generate+deploy separately
l8k discover --kubeconfig ~/.kube/config \
  --fabric ethernet --deployment-type sriov \
  --save-cluster-config ./cluster-config.yaml && \
l8k generate --user-config ./cluster-config.yaml \
  --save-deployment-files ./output --deploy

# Skip discovery entirely with --for (known SKU)
l8k generate --user-config ./cluster-config.yaml \
  --for ThinkSystem-SR680a-V3 \
  --node-selector "nvidia.com/gpu.product=NVIDIA-H200" \
  --fabric ethernet --deployment-type sriov \
  --save-deployment-files ./output --deploy \
  --kubeconfig ~/.kube/config

Common Variations

Use Case Command
Discovery only l8k discover --save-cluster-config <PATH>
Generate only l8k generate --user-config <CONFIG> --save-deployment-files <DIR>
Generate + deploy l8k generate ... --deploy
Full pipeline (root) l8k --discover-cluster-config ... --deploy
Full pipeline (subcommands) l8k discover ... && l8k generate ... --deploy
Full pipeline dry-run l8k --discover-cluster-config ... --deploy --dry-run
External Helm ownership l8k ... --skip-network-operator-helm --deploy

Note: The root command's strength is chaining all phases — it runs discover, generate, and deploy in a single invocation. Use subcommands when you need intermediate inspection or different flags per phase.

With --skip-network-operator-helm, generation omits values.yaml and deploy skips the Network Operator Helm install/preflight boundary while continuing to apply and reconcile the generated custom resources.

Phase Order

  1. Discover — Probe hardware and persist its inventory; fresh discovery also resolves profile settings, while --user-config preserves non-clusterConfig sections
  2. Generate — Match profile, render templates, write YAMLs
  3. Deploy — Apply resources in dependency order

If any phase fails, subsequent phases are skipped. The JSON output includes which phase failed.

[!CAUTION]
The full pipeline includes deployment — confirm with the user before running on production. Use --dry-run to preview first.

See Also

  • [k8s-launch-kit-shared](../k8s-launch-kit-shared/SKILL.md) — Global flags and exit codes
  • [k8s-launch-kit-discover](../k8s-launch-kit-discover/SKILL.md) — Discovery details
  • [k8s-launch-kit-generate](../k8s-launch-kit-generate/SKILL.md) — Profile selection details
  • [k8s-launch-kit-deploy](../k8s-launch-kit-deploy/SKILL.md) — Deploy details