k8s-yaml-validator

To validate Kubernetes YAML manifests before deployment, this Skill performs multi-stage checks using yamllint for syntax, kubeconform for schema compliance, and kubectl cluster dry-runs to prevent application failures.

Checking Kubernetes YAML syntax and schema compliance is best handled by running yamllint and kubeconform in sequence, followed by a cluster dry-run to catch admission controller rejections and potential deployment errors.

Yes, Kubernetes YAML validation supports Custom Resource Definitions (CRDs) by automatically detecting them during the schema validation stage and looking up relevant documentation to ensure proper resource configuration.

To get suggested fixes for Kubernetes YAML errors, this Skill generates detailed validation reports that categorize issues by severity and provide actionable recommended corrections alongside fix complexity estimates.

Yes, you can use kubectl cluster dry-runs to catch admission controller rejections, as this Skill integrates dry-run validation to verify that your manifests will pass cluster-level checks before actual deployment.

Kubernetes deployment failures with schema validation errors occur when manifests violate Kubernetes API schemas, which this Skill prevents by running kubeconform checks and providing detailed reports with suggested fixes before deployment.