openchoreo/skills · Archived

openchoreo-setup

Fresh install of OpenChoreo onto local k3d, an existing Kubernetes cluster (k3s/GKE/EKS/AKS/DOKS/self-managed), or across multiple clusters.

First seen May 13, 2026

Installation

$ npx skills add openchoreo/skills --skill openchoreo-setup

Summary

  • Fresh install of OpenChoreo onto local k3d, an existing Kubernetes cluster (k3s/GKE/EKS/AKS/DOKS/self-managed), or across multiple clusters.
  • Use when the user says "install OpenChoreo", "set up OpenChoreo on k3d", "bootstrap OpenChoreo on my cluster(s)", "spin up OpenChoreo locally", or "install the OpenChoreo platform".

Stronger alternatives

This repository is archived — consider an actively maintained alternative.

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Other skills from openchoreo/skills.

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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.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 4
License LICENSE
Default branch main
Open issues 0
Status Archived

Skill metadata

Parsed from SKILL.md frontmatter.

Version1.1.2
More metadata
version
1.1.2

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,327 B
  • docs SUMMARY.md 346 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 66 installs

SKILL.md

OpenChoreo Setup

Bootstraps OpenChoreo onto Kubernetes. Two targets, each with a single-cluster and a multi-cluster path:

Locally on k3d (development / contributor workflow)

  • Single cluster → [./references/on-k3d-locally.md](./references/on-k3d-locally.md)
  • Multi-cluster (one cluster per plane) → [./references/on-k3d-multi-cluster.md](./references/on-k3d-multi-cluster.md)

On your Kubernetes environment (k3s, GKE, EKS, AKS, DOKS, Rancher Desktop, or self-managed)

  • Single cluster → [./references/on-your-environment.md](./references/on-your-environment.md)
  • Multi-cluster (full multi-cluster, hybrid, or multi-region) → [./references/multi-cluster.md](./references/multi-cluster.md)

Ask the user which target and topology if they haven't said. Then load the matching reference and follow it end to end — it owns the choice-capture, version resolution, fetch, walk, and report flow for that path.

Pin the kube context first

Before running any kubectl / helm, establish which context each command targets and pass it explicitly — don't rely on the active context. Environments routinely carry several contexts (and the active one may be a placeholder or the wrong cluster), so an implicit context silently sends an install at the wrong place.

  • Confirm the target up front: kubectl config get-contexts, and with the user settle which context is the install target (create/rename one if needed). For multi-cluster, settle one context per plane (cp / dp / op / wp).
  • Pass it on every command: kubectl --context=<ctx> … and helm --kube-context=<ctx> …. In multi-cluster, name the plane's context on each command — never depend on "current" state carrying across steps.
  • If a first kubectl call errors with an auth prompt / EOF / unreachable API, the active context is a dummy or wrong cluster — resolve the context before continuing, don't work around it.