Kubernetes Operator
CheckedAutomates Kubernetes resource deployments, updates, and scaling based on user requests and defined configurations.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add stormingluke/copilot --skill kubernetes-operator -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
stormingluke
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned stormingluke/copilot at e665df1f5c.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- e665df1f5c
- Scanned
- 1 file, 59 lines
About this skill
What it does
This skill allows AI agents to interact with and manage Kubernetes clusters through custom operators. It enables automated deployment, scaling, and management of applications within a Kubernetes environment by defining and applying custom resources. The agent can use this skill to simplify complex operational tasks and ensure consistent deployments.
When to use it
- Automate the creation and configuration of new Kubernetes deployments based on user requests.
- Scale existing Kubernetes applications in response to changing demand or performance metrics.
- Troubleshoot issues within a Kubernetes cluster by inspecting resource configurations and applying corrective actions.
- Manage custom resources (CRDs) and their associated controllers for specific application needs.
Key capabilities
- Deploying Custom Resource Definitions (CRDs).
- Managing Kubernetes resources via CRDs.
- Automated scaling of applications within a cluster.
- Troubleshooting and remediation of Kubernetes deployments.
Example prompts
- "Create a new deployment for my application using the 'my-app' CRD."
- "Scale the number of pods in my 'database' deployment to 5."
- "Check the status of all resources managed by the 'monitoring' operator."
- “Apply this YAML file to my Kubernetes cluster.”
Tips & gotchas
The agent needs appropriate credentials and access permissions to interact with your Kubernetes cluster. Ensure that the required CRDs are already installed in the target cluster before using this skill for management tasks.