The Agent Skills Directory

[Command Execution]: The skill uses administrative tools such as kubectl and gcloud to manage Kubernetes resources and cluster configurations. These operations are essential for the skill's purpose of workload scaling.
[Input Configuration Review]: The skill provides templates for shell commands that include placeholders like {deployment_name}, {namespace}, and {cluster_name}.
Ingestion points: Variables are sourced from user or agent context and interpolated into shell commands in SKILL.md.
Boundary markers: The documentation assumes the agent will provide valid identifiers; no specific boundary markers are defined within the text.
Capability inventory: The skill utilizes powerful CLI tools (kubectl, gcloud) that can modify cluster state.
Sanitization: While standard for technical documentation, the skill relies on the agent's underlying safety filters to ensure inputs are not misused for command injection.
[Resource Management]: The assets provided (hpa-example.yaml and vpa-example.yaml) use standard Kubernetes schemas and are scoped to the default namespace, which is a common pattern for template examples.

gke-workload-scaling