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k8s-crd-from-typed-schema

k8s-crd-from-typed-schema

github.com/mizchiCloud & DevOps41648 installsUpdated 1w ago
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About k8s-crd-from-typed-schema

A practical skill for developers generating Kubernetes CRDs from typed schemas. It covers Structural Schema adaptation, CRD construction, and validation, with guidance on often-missed metadata, status, and versioning constraints.

Key features

  1. 01Adapt JSON Schema to Structural Schema
  2. 02Handle incompatible schema features
  3. 03Build the CRD envelope
  4. 04Compute plural resource names
  5. 05Validate with kubectl server-side dry-run
  6. 06Explain metadata and status pitfalls

Use cases

  1. 01Generate CRDs from zod and similar schemas
  2. 02Troubleshoot kubectl CRD rejection errors
  3. 03Prevent operator loops after status updates
  4. 04Validate schemas and resources before cluster use

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/mizchi/skills --skill k8s-crd-from-typed-schema

After installing, type/k8s-crd-from-typed-schemain Claude Code to confirm it loaded.

Bundled filesREADME.md

Details

From the project README

k8s CRDs from a typed schema

Generating CRDs from typed schemas (zod / TypeBox / Valibot / hand-written JSON Schema) looks straightforward — convert to OpenAPI v3, embed as openAPIV3Schema, done. It isn't. CRDs use a subset of OpenAPI v3 plus k8s-specific extensions ("Structural Schema"), and several common JSON-Schema features are silently incompatible. Plus there are two non-schema gotchas (status subresource, metadata prohibition) that don't show up until you try to use the CRD.

This skill is the punch list of what to fix before kubectl apply -f crd.yaml succeeds and the operator actually works.

When to use

  • Building an operator / controller and writing your own CRDs.
  • Generating CRDs from a typed source rather than hand-authoring YAML.
  • Hitting kubectl errors like unknown field "$schema" / must not have "oneOf" / must not specify anything other than name and generateName / cannot have both "additionalProperties" and "properties".
  • Operator works once but then reconciles forever in a loop after the first status write.

Workflow

1. Convert typed schema → JSON Schema (OpenAPI v3 dialect)

For zod:

import { zodToJsonSchema } from 'zod-to-json-schema';

const json = zodToJsonSchema(specSchema, {
  target: 'openApi3',
  $refStrategy: 'none',  // CRDs forbid $refs across the document
});

$refStrategy: 'none' is mandatory — k8s' Structural Schema does not resolve cross-document $ref. Inline everything.

For TypeBox: pass the schema through as-is, then run the adapter below.

2. Run the Structural-Schema adapter

The Structural Schema dialect rejects several JSON Schema features. Strip / rewrite them:

JSON Schema featureWhat to doWhy
$schema meta keyworddropkubectl rejects unknown root keys
oneOf / anyOf / allOfreplace the node with { x-kubernetes-preserve-unknown-fields: true }structural schema forbids schema-form unions outside x-kubernetes-validations
tuple items (array of schemas)collapse to a single schema (use items[0])k8s only supports a single item schema
format other than uri / date-timedrop the format keyapiserver only honors a small whitelist; unknown formats fail validation
additionalProperties: false co-located with propertiesdrop the additionalProperties keystructural schema forbids both at once; declared properties already implies closed
empty leaf {} (e.g. from z.unknown())replace with { x-kubernetes-preserve-unknown-fields: true }structural schema requires every node to declare a type or use the escape hatch

A reference adapter (TypeScript, ~40 lines) lives at examples/adapter.ts in this skill (or copy from k1c/src/cli/export-crds.ts).

3. Wrap the spec schema in the CRD envelope
apiVersion: apiextensions.k8s.io/v1
kind: CustomResourceDefinition
metadata:
  name: <plural>.<group>     # e.g. r2buckets.cloudflare.k1c.io
spec:
  group: <group>
  scope: Namespaced
  names:
    kind: <Kind>
    singular: <kind>
    plural: <plural>
    listKind: <Kind>List
  versions:
    - name: v1alpha1
      served: true
      storage: true
      schema:
        openAPIV3Schema:
          type: object
          properties:
            apiVersion: { type: string }
            kind:       { type: string }
            spec:       <your adapted schema here>
            status:
              type: object
              x-kubernetes-preserve-unknown-fields: true
          required: [spec]
      subresources:
        status: {}            # <-- mandatory if your operator writes status
4. Compute the plural correctly

spec.names.plural ends up in the kubectl URL (/apis/<group>/<version>/<plural>). Don't kind.toLowerCase() + 's' — handle the regular-verb cases:

function pluralize(kind: string): string {
  const lower = kind.toLowerCase();
  if (lower.endsWith('s') || lower.endsWith('x') || lower.endsWith('z')) return `${lower}es`;
  if (lower.endsWith('y')) return `${lower.slice(0, -1)}ies`;
  return `${lower}s`;
}

This matches the inflection Cloudflare and most k8s API authors use. Irregular kinds (Endpoints, Quota → quotas) need a manual override map.

5. Verify with kubectl in dry-run mode
kubectl apply --dry-run=server -f crd.yaml
kubectl apply --dry-run=server -f sample-cr.yaml   # after CRD is registered

Server-side dry-run catches structural-schema violations that local dry-run misses (e.g. additionalProperties + properties is only enforced server-side).

Pitfalls

Pitfall 1: declaring metadata in openAPIV3Schema.properties
# ❌ kubectl rejects this:
openAPIV3Schema:
  type: object
  properties:
    metadata: { type: object, properties: { name: { type: string } } }
    spec: ...
# error: must not specify anything other than name and generateName for metadata

Fix: don't list metadata at all. The apiserver auto-applies the standard ObjectMeta schema. Only declare apiVersion / kind / spec / status.

Pitfall 2: missing subresources.status: {} causes infinite reconcile loops

Without this, every kubectl patch --subresource=status call:

  1. Bumps .metadata.generation.
  2. Wakes up the watch.
  3. Operator re-reconciles → patches status again.
  4. Goto 1.

Symptom: operator looks healthy but logs show reconcile loop lines firing every few hundred ms forever. CPU climbs slowly. Apiserver QPS budget burns.

Fix: always include subresources: { status: {} } in every served version.

Pitfall 3: oneOf from discriminated unions

z.discriminatedUnion(...) and Type.Union(...) lower to oneOf. Structural schema rejects this outside x-kubernetes-validations (CEL). Two fixes:

  1. Permissive escape: replace the node with x-kubernetes-preserve-unknown-fields: true (loses validation).
  2. Strict CEL: emit x-kubernetes-validations: [{ rule: "self.type == 'a' && has(self.payload)" }]. Only apiserver ≥ 1.25 supports this.

The adapter in step 2 picks option 1 by default. Bump to option 2 only when the validation is load-bearing.

Pitfall 4: structural schema requires type on every node

z.unknown() lowers to an empty {} JSON Schema. Structural schema rejects nodes without type (or enum, or the escape hatch). Stamp x-kubernetes-preserve-unknown-fields: true on every empty leaf during adaptation.

Pitfall 5: only one schema can be the storage version

versions[N].storage: true must be exactly one entry per CRD across all served versions. Multiple storage: true → apiserver refuses the CRD on registration. When adding v1beta1 → v1, flip exactly one over.

Verifying without a real cluster

Stand up kind in CI and run:

kubectl apply -f crd.yaml                              # registers the CRD
kubectl apply --dry-run=server -f every-example.yaml   # validates each CR against the new schema

This is exactly what k1c does in .github/workflows/k8s-validate.yml — see that workflow for a reference job.

Why this matters

CRDs are a contract between humans, the apiserver, and your operator. The Structural Schema rules are not arbitrary — they exist so the apiserver can do server-side validation, defaulting, and pruning. But the rules aren't documented in one place: the official Structural Schema docs cover the dialect, the subresource docs cover /status, and the metadata prohibition only shows up as a runtime apiserver error. This skill collapses all four into one workflow.

Related skills

  • cloudflare-deploy — for Cloudflare-specific resource shapes if you're operating on CF (independent of CRD generation).
  • apm-usage — for shipping the generated CRD bundle as a skill artifact.

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