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K8s Yaml Generator

  • 411 installs
  • 286 repo stars
  • Updated July 26, 2026
  • akin-ozer/cc-devops-skills

k8s-yaml-generator is a Claude Code skill that generates validated Kubernetes YAML manifests—Deployment, Service, ConfigMap, Ingress, RBAC, StatefulSet, and CRDs—from app requirements with mandatory validation and a deli

About

k8s-yaml-generator is a Claude Code skill from akin-ozer/cc-devops-skills that scaffolds production-ready Kubernetes manifests through a six-step deterministic workflow: preflight, input capture, bounded CRD lookup, YAML generation, mandatory validation, and structured delivery. It supports built-in resources and custom CRDs (for example Argo CD Application) with bounded Context7 lookups (max 2 resolve attempts, 3 query-docs calls) and up to 3 fix/revalidate cycles. Safe defaults include namespace default, 2 replicas, ClusterIP services, and IfNotPresent image pull policy. Reach for k8s-yaml-generator when creating or updating manifests; use k8s-yaml-validator for validation-only requests.

  • Generates Kubernetes YAML for common workload types
  • Covers deployments, services, ingress, and config
  • Speeds containerized SaaS and API rollouts
  • Reduces hand-written manifest errors
  • Fits ongoing cluster operations and redeploys

K8s Yaml Generator by the numbers

  • 411 all-time installs (skills.sh)
  • Ranked #293 of 1,435 DevOps & CI/CD skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/akin-ozer/cc-devops-skills --skill k8s-yaml-generator

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Listed on Skillselion
Installs411
repo stars286
Last updatedJuly 26, 2026
Repositoryakin-ozer/cc-devops-skills

How do you generate validated Kubernetes deployment YAML?

Generate correct Kubernetes Deployment, Service, Ingress, and ConfigMap YAML from app requirements so teams can deploy and maintain containerized workloads faster.

Who is it for?

Platform engineers deploying containerized apps who need scaffolded, validated Kubernetes manifests with documented defaults and CRD research bounds.

Skip if: Skip k8s-yaml-generator for validation-only requests on existing YAML—use the k8s-yaml-validator skill instead.

When should I use this skill?

User asks to generate, create, or scaffold Kubernetes YAML for Deployment, Service, Ingress, ConfigMap, RBAC, StatefulSet, or CRDs.

What you get

Kubernetes manifest YAML files, validation report, assumptions log, and suggested kubectl apply commands.

  • Kubernetes YAML manifests
  • Validation report
  • kubectl apply command suggestions

By the numbers

  • Six-step deterministic generation and validation workflow
  • Bounded CRD lookup: max 2 resolve attempts and 3 query-docs calls
  • Default Deployment replicas set to 2 with ClusterIP Service

Files

SKILL.mdMarkdownGitHub ↗

Kubernetes YAML Generator

Generate Kubernetes manifests with deterministic steps, bounded CRD research, and mandatory validation for full-resource output.

Trigger Guidance

Use this skill when the user asks to create or update Kubernetes YAML, for example:

  • "Generate a Deployment + Service manifest for my app."
  • "Create an Argo CD Application CRD."
  • "Write a StatefulSet with PVC templates."
  • "Produce production-ready Kubernetes YAML with best practices."

Do not use this skill for validation-only requests. For validation-only work, use k8s-yaml-validator.

Execution Model

Normative keywords:

  • MUST: required
  • SHOULD: default unless user requests otherwise
  • MAY: optional

Deterministic sequence:

1. Preflight request and path/rendering sanity. 2. Capture minimum required inputs. 3. Resolve CRD references (bounded workflow only when CRD/custom API is involved). 4. Generate YAML with baseline quality checks. 5. Run mandatory validation (or documented fallback path when tooling is unavailable). 6. Deliver YAML plus explicit validation report and assumptions.

If one step is blocked by environment constraints, execute that step's fallback and continue.

1) Preflight

Before generation:

  • Confirm whether output is full manifest(s) or snippet-only.
  • Confirm target Kubernetes version when provided.
  • Verify any referenced local file path exists before using it.
  • Normalize resource naming to DNS-1123-compatible names where applicable.

Preflight stop condition:

  • If required core inputs are missing (resource type, workload image for Pod-based resources, or CRD kind/apiVersion), ask for those first.

2) Capture Required Inputs

Collect:

  • Resource types (Deployment, Service, ConfigMap, CRD kind, etc.)
  • apiVersion + kind
  • Namespace/scoping requirements
  • Ports, replicas, images, probes, storage, and secret/config needs
  • Environment assumptions (dev/staging/prod)
  • For CRDs: project name and target CRD version if known

Safe defaults (state explicitly in output):

  • Namespace: default (namespace-scoped resources)
  • Deployment replicas: 2
  • Service type: ClusterIP
  • Image pull policy: IfNotPresent (unless user needs forced pulls)

3) CRD Lookup Workflow (Bounded)

Run this step only for custom APIs outside Kubernetes built-in groups.

3.1 Identify CRD target

Extract:

  • API group, version, kind (for example argoproj.io/v1alpha1, Application)
  • Requested product/version (for example Argo CD v2.9.x)

3.2 Context7 primary path

Use the correct Context7 tools and payloads:

1. mcp__context7__resolve-library-id 2. mcp__context7__query-docs

Sample payloads:

Tool: mcp__context7__resolve-library-id
libraryName: "argo-cd"
query: "Find Argo CD documentation for Application CRD schema compatibility"
Tool: mcp__context7__query-docs
libraryId: "/argoproj/argo-cd/v2.9.0"
query: "Application CRD required spec fields for apiVersion argoproj.io/v1alpha1 with minimal valid example"

Selection rules:

  • Prefer exact project/library name matches.
  • Prefer versioned libraryId when user specifies a version.
  • Otherwise use unversioned ID and note version uncertainty.

3.3 Thresholds and stop conditions

Bound the lookup to prevent unbounded retries:

  • resolve-library-id: max 2 attempts (primary name + one alternate name).
  • query-docs: max 3 focused queries total.
  • Web fallback: max 2 version-specific searches.

Stop early when all are true:

  • Required CRD fields are identified.
  • At least one authoritative example is found.
  • Version compatibility is known or explicitly marked unknown.

Hard stop when budgets are exhausted:

  • Generate only fields verified by sources.
  • Mark remaining fields as Needs confirmation.
  • Report residual risk and request one of:
  • exact CRD docs URL, or
  • cluster introspection output (for example kubectl explain <kind>.spec when available).

3.4 Fallback order

Use this order:

1. Context7 (resolve-library-id -> query-docs) 2. Official project docs via web search 3. Cluster-local introspection (kubectl explain, if cluster access exists)

If none are available, provide a minimal, clearly marked draft and do not claim full CRD correctness.

4) YAML Generation Rules

Apply these checks:

  • Use explicit, non-deprecated API versions.
  • Include consistent labels (app.kubernetes.io/*) across related resources.
  • Include namespace for namespace-scoped resources.
  • Add resource requests/limits for Pod workloads unless user opts out.
  • Add readiness/liveness probes for long-running services where applicable.
  • Use securityContext to avoid root execution by default.
  • Keep multi-resource ordering dependency-safe (for example ConfigMap before Deployment consumers).

Minimal label baseline:

labels:
  app.kubernetes.io/name: myapp
  app.kubernetes.io/instance: myapp-prod
  app.kubernetes.io/part-of: myplatform
  app.kubernetes.io/managed-by: codex

5) Mandatory Validation and Contingencies

For full manifest generation, validation is mandatory.

Primary path:

  • Invoke k8s-yaml-validator.
  • Iterate fix -> revalidate until blocking issues are gone.

Required reporting after each validation pass:

  • Validation mode: k8s-yaml-validator | script fallback | manual fallback
  • Syntax: pass/fail
  • Schema: pass/fail/partial
  • CRD check: pass/fail/partial
  • Dry-run: server/client/skipped
  • Blocking issues remaining: yes/no

Contingency A: validator skill unavailable

Run direct commands:

bash devops-skills-plugin/skills/k8s-yaml-validator/scripts/setup_tools.sh
yamllint -c devops-skills-plugin/skills/k8s-yaml-validator/assets/.yamllint <file.yaml>
kubeconform -schema-location default -strict -ignore-missing-schemas -summary <file.yaml>
server_out="$(mktemp)"
client_out="$(mktemp)"
trap 'rm -f "$server_out" "$client_out"' EXIT

if kubectl apply --dry-run=server -f <file.yaml> >"$server_out" 2>&1; then
  echo "server_validation=passed"
elif grep -Eqi "connection refused|no such host|i/o timeout|tls handshake timeout|unable to connect to the server|no configuration has been provided|the server doesn't have a resource type" "$server_out"; then
  echo "server_validation=skipped"
  if kubectl apply --dry-run=client -f <file.yaml> >"$client_out" 2>&1; then
    echo "client_validation=passed"
  else
    echo "client_validation=failed"
    cat "$client_out"
    exit 1
  fi
else
  echo "server_validation=failed"
  cat "$server_out"
  exit 1
fi

Contingency B: local tools partially unavailable

  • Run available checks.
  • Record skipped checks explicitly.
  • Add residual risk for every skipped check.

Contingency C: repeated validation failure

  • Maximum 3 fix/revalidate cycles.
  • If still failing, stop and return:
  • current YAML,
  • exact failing errors,
  • smallest required user decision/input to unblock.

Validation exceptions:

  • Snippet-only or docs-only requests MAY skip full validation, but the output MUST state Validation status: Skipped (reason).

6) Delivery Contract

Final output MUST include:

1. Generated YAML. 2. What was generated (resource list, namespace/scoping). 3. Validation report in the required format. 4. Assumptions and defaults used. 5. References used:

  • Context7 IDs/queries used (for CRDs)
  • external docs/searches used
  • items skipped/missing and impact

Suggested next commands:

kubectl apply -f <filename>.yaml
kubectl get <resource-type> <name> -n <namespace>
kubectl describe <resource-type> <name> -n <namespace>

7) Canonical Example Flows

Example A: Built-in resources (Deployment + Service)

1. Capture app image, ports, replicas, namespace. 2. Generate Deployment and Service with consistent labels/selectors. 3. Validate with k8s-yaml-validator. 4. Return YAML + validation report + assumptions.

Example B: CRD resource (Argo CD Application)

1. Extract argoproj.io/v1alpha1 + Application. 2. Run bounded Context7 lookup (resolve-library-id then query-docs). 3. If needed, perform bounded web fallback. 4. Generate CRD YAML only with verified fields. 5. Validate, report any partial verification, and return residual risks.

8) Definition of Done

Execution is complete only when all applicable checks pass:

  • Trigger use case is correct (generation, not validation-only).
  • Required inputs are captured or explicit assumptions are documented.
  • CRD lookup follows bounded thresholds and stop conditions.
  • Tool names and command paths are valid and consistent.
  • Full manifests are validated (or fallback path is documented with residual risk).
  • Final response includes YAML, validation report, assumptions, and references.

Related skills

How it compares

Pick k8s-yaml-generator to scaffold new manifests with validation; pick k8s-yaml-validator when YAML already exists and only needs checking.

FAQ

What Kubernetes resources does k8s-yaml-generator create?

k8s-yaml-generator creates Deployment, Service, ConfigMap, Ingress, RBAC, StatefulSet, and CRD manifests. It follows a six-step workflow ending in mandatory validation and a delivery report with assumptions and references.

Does k8s-yaml-generator validate generated YAML?

k8s-yaml-generator runs mandatory validation via kubectl apply --dry-run=server with up to 3 fix/revalidate cycles. If tooling is unavailable, it documents skipped checks and residual risk explicitly.

When should k8s-yaml-generator not be used?

k8s-yaml-generator is for creating or updating Kubernetes YAML. For validation-only requests on existing manifests, use the k8s-yaml-validator skill in the same cc-devops-skills plugin.

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