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Kubernetes Operations

Checked
laurigates·vlatest·cloud·MIT

Automate Kubernetes deployments, scaling, troubleshooting, and resource management tasks via laurigates's specialized AI agent.

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 laurigates/claude-plugins --skill kubernetes-operations -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

laurigates

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 laurigates/claude-plugins at 45d1d7dcf6.

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

Commit
45d1d7dcf6
Manifest
kubernetes-plugin/skills/kubernetes-operations/SKILL.md
Scanned
1 file, 159 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

This skill enables AI agents to automate and manage Kubernetes clusters, deployments, and troubleshoot issues using kubectl commands and cloud-native best practices. It provides expertise in workload management (Deployments, StatefulSets, etc.), networking (Services, Ingress), configuration & storage (ConfigMaps, PersistentVolumes), and debugging. The agent will prioritize declarative YAML manifests for resource management and emphasizes validation and verification after applying changes.

When to use it

  • You need to deploy new applications or update existing deployments within a Kubernetes cluster.
  • You are experiencing issues with pod crashes (CrashLoopBackOff) or other application errors and require assistance in debugging.
  • You want to monitor the health of your nodes, pods, and services within a Kubernetes environment.
  • You need to inspect resource usage (CPU, memory) for pods and nodes.
  • You're performing routine cluster maintenance tasks like cleanup of unused resources.

Key capabilities

  • Workload Management: Deploying, updating, and managing various Kubernetes workloads including Deployments, StatefulSets, DaemonSets, Jobs, and CronJobs.
  • Networking Configuration: Managing Services, Ingress, NetworkPolicies, and DNS configurations within the cluster.
  • Configuration & Storage: Handling ConfigMaps, Secrets, PersistentVolumes, and PersistentVolumeClaims.
  • Troubleshooting: Debugging pods, analyzing logs, inspecting cluster events, and identifying common issues like CrashLoopBackOff.
  • Manifest-First Approach: Prioritizing declarative YAML manifests for resource management.
  • Validation & Verification: Utilizing --dry-run flags and inspection commands (kubectl get, kubectl describe) to ensure changes are valid and successful.

Example prompts

  • "Deploy the application defined in my-app.yaml."
  • "What is causing this pod named 'webserver' to crash?"
  • "Show me the logs for the previous instance of the 'database' pod."
  • "Check the status of the deployment named 'frontend'."

Tips & gotchas

  • Context Safety: Always explicitly specify the Kubernetes context using --context=<context-name> in every command to avoid unintended operations on different clusters. This is critical for preventing accidental changes.
  • Manifests are Key: The agent prioritizes declarative YAML manifests; ensure your resources are defined this way.
  • Validation is Important: Use the --dry-run=client flag before applying any changes to validate them and prevent errors.