Kubernetes Operations
CheckedAutomates Kubernetes cluster management tasks like deployments, scaling, and troubleshooting using kubectl commands.
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 rohitg00/awesome-claude-code-toolkit --skill kubernetes-operations -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
rohitg00
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 rohitg00/awesome-claude-code-toolkit at ebdf1d596d.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- ebdf1d596d
- Scanned
- 1 file, 176 lines
About this skill
What it does
This skill enables AI agents to perform Kubernetes operations. It allows for tasks like deploying applications, scaling deployments, and inspecting cluster resources. The agent can execute commands against a Kubernetes cluster using kubectl, providing automated management capabilities.
When to use it
- Automating deployment of new microservices to a Kubernetes cluster.
- Scaling existing Kubernetes deployments based on resource utilization or traffic patterns.
- Troubleshooting issues by inspecting pod logs and resource configurations within the cluster.
- Performing routine maintenance tasks such as rolling updates and node management.
Key capabilities
kubectlcommand execution- Deployment management (create, update, delete)
- Scaling deployments
- Resource inspection (pods, services, etc.)
Example prompts
- "Deploy the 'my-app' Docker image to my Kubernetes cluster."
- "Scale the 'web-service' deployment to 5 replicas."
- "Show me the logs for the 'database-pod'."
Tips & gotchas
The agent requires access credentials and a configured kubectl context to interact with your Kubernetes cluster. Ensure proper authentication is set up before using this skill, or it will fail to execute commands.