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Kubecon Llm K8S

Checked
eng0ai·vlatest·ai-ml

Provides LLMs guidance and assistance for building AI and machine learning applications.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add rebyteai-template/rebyte-skills --skill kubecon-llm-k8s -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

eng0ai

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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

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 eng0ai/eng0-template-skills at 0062e44684.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
0062e44684
Manifest
kubecon-llm-k8s/SKILL.md
Scanned
1 file, 61 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The kubecon-llm-k8s skill enables AI agents to interact with and manage Kubernetes clusters. It allows for querying cluster state, deploying applications, and performing basic administrative tasks related to Kubernetes resources. This skill is particularly useful for automating operations within a K8s environment or troubleshooting issues.

When to use it

  • Automated deployments: Deploy new application versions to your Kubernetes cluster based on instructions from the user.
  • Resource monitoring: Check the status of pods, services, and other resources in your Kubernetes cluster.
  • Troubleshooting: Investigate errors or performance bottlenecks within a K8s environment by querying logs and resource configurations.
  • Cluster management: Perform basic administrative tasks like scaling deployments or rolling back updates.

Key capabilities

  • Kubernetes Resource Querying
  • Application Deployment
  • Basic Administrative Tasks
  • K8s Cluster State Reporting

Example prompts

  • "Show me the status of all pods in the 'production' namespace."
  • "Deploy the latest version of my application to the 'staging' cluster."
  • "Scale the deployment 'my-app' to 3 replicas."
  • “What is the current memory usage for pod ‘nginx’?”

Tips & gotchas

This skill requires access credentials and proper configuration to connect to your Kubernetes clusters. Ensure that the AI agent has the necessary permissions within the cluster to perform the requested actions.