Kubernetes
CheckedAutomates Kubernetes cluster deployment, scaling, and management tasks using declarative configurations and best practices.
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 1mangesh1/dev-skills-collection --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
1mangesh1
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 1mangesh1/dev-skills-collection at 23e297e5a4.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 23e297e5a4
- Manifest
- skills/kubernetes/SKILL.md
- Scanned
- 8 files, 821 lines
About this skill
What it does
This skill enables AI agents to interact with and manage Kubernetes clusters. It allows users to deploy applications, monitor cluster health, and perform common administrative tasks within a Kubernetes environment. The agent can execute commands against your Kubernetes API server, simplifying complex deployments and operations.
When to use it
- Automated Deployments: Automate the deployment of new application versions to your Kubernetes clusters.
- Cluster Monitoring: Get real-time insights into the health and performance of your Kubernetes nodes and pods.
- Troubleshooting: Diagnose issues within a Kubernetes cluster by executing commands and retrieving information about running services.
- Scaling Applications: Dynamically scale applications based on resource utilization or demand using Kubernetes features.
Key capabilities
- Kubernetes API interaction
- Application deployment management
- Cluster health monitoring
- Command execution against the Kubernetes API server
Example prompts
- "Deploy this Docker image
my-app:latestto my Kubernetes cluster." - "What is the status of pods in namespace 'production'?"
- "Scale the number of replicas for deployment 'web-app' to 5."
- “Show me the logs from pod ‘database-0’.”
Tips & gotchas
The agent requires access credentials (e.g., a kubeconfig file) to authenticate with your Kubernetes cluster. Ensure these credentials are securely provided and have appropriate permissions for the tasks you intend to perform.