Kubernetes
CheckedAutomates Kubernetes cluster management tasks like scaling, deployments, and monitoring via intelligent AI assistance.
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 mindrally/skills --skill kubernetes -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
mindrally
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 mindrally/skills at 7682ca7771.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 7682ca7771
- Manifest
- kubernetes/SKILL.md
- Scanned
- 1 file, 65 lines
About this skill
The Kubernetes skill enables AI agents to interact directly with container orchestration platforms, allowing them to deploy, scale, and manage containerized applications dynamically. It provides the necessary interface to execute standard Kubernetes commands and manipulate cluster resources without manual intervention.
When to use it
- Automating the deployment of microservices to a production cluster during CI/CD pipelines.
- Scaling application pods up or down based on real-time traffic demands.
- Troubleshooting failing containers by inspecting logs and restarting unhealthy pods.
- Managing configuration updates across multiple nodes in a distributed environment.
Key capabilities
- Deploying applications to Kubernetes clusters via YAML manifests or imperative commands.
- Scaling replica counts for deployments, replicasets, and statefulsets.
- Inspecting cluster health, pod status, and event logs.
- Executing administrative tasks like rolling updates and rollbacks.
Example prompts
- "Deploy the latest version of our payment service to the staging namespace using the provided Docker image."
- "Scale the web-frontend deployment to 10 replicas to handle increased load during the marketing campaign."
- "Check the status of all pods in the production cluster and restart any that are in a CrashLoopBackOff state."
Tips & gotchas
Ensure your AI agent has valid authentication credentials (such as kubeconfig files or service account tokens) before attempting to connect to the cluster. While this skill handles orchestration tasks, it does not replace the need for human oversight when making critical architectural changes to production environments.