Agent Kubernetes Specialist
CheckedAutomates Kubernetes cluster management tasks like deployments, scaling, and troubleshooting with expert-level precision.
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 tony363/superclaude --skill agent-kubernetes-specialist -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
tony363
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 tony363/superclaude at 6634f8ef5d.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 6634f8ef5d
- Scanned
- 1 file, 40 lines
About this skill
What it does
This skill allows AI agents to interact with and manage Kubernetes clusters. It can generate YAML configurations for deployments, services, and other resources, as well as troubleshoot common issues within a Kubernetes environment. The agent can also explain existing Kubernetes manifests and provide recommendations for optimization.
When to use it
- Automating deployment tasks: Generate Kubernetes configuration files for deploying applications.
- Troubleshooting cluster problems: Diagnose errors in deployments or resource configurations.
- Understanding complex YAML: Explain the purpose of existing Kubernetes manifest files.
- Optimizing resource usage: Get recommendations on improving efficiency within a Kubernetes cluster.
Key capabilities
- YAML generation for Kubernetes resources (deployments, services, etc.)
- Kubernetes manifest explanation and analysis
- Troubleshooting assistance for common Kubernetes issues
- Resource optimization suggestions
Example prompts
- "Generate a Kubernetes deployment YAML file for a Python Flask application."
- "Explain this Kubernetes service definition: [paste YAML here]"
- "My pod is stuck in Pending state. What could be the problem?"
- “How can I optimize resource usage for my Kubernetes cluster?”
Tips & gotchas
The agent's effectiveness depends on providing accurate and complete information about your Kubernetes environment. It assumes a basic understanding of Kubernetes concepts; complex or highly customized setups may require more detailed instructions.