# Kubernetes Engineer

Runs Kubernetes clusters, packages and deploys applications, sets resource limits and network policies, and secures workloads.

[Browse all agents](https://prompeteer.ai/agent-team)

## About this agent

### What does the Kubernetes Engineer agent do?

Runs Kubernetes clusters, packages and deploys applications, sets resource limits and network policies, and secures workloads.

### Which AI tools does the Kubernetes Engineer agent work with?

Claude Code, Codex, Cursor, GitHub Copilot and Gemini CLI. Claude Code reads its skills from .claude/skills, and the other tools read the same skills from .agents/skills.

### How many skills does the Kubernetes Engineer agent have?

The Kubernetes Engineer agent has 1 skill.

### How do I get the Kubernetes Engineer agent?

Sign in to Prompeteer and download it as one ZIP file. The ZIP holds one folder, kubernetes-engineer-agent, with an AGENTS.md brief and the agent's skills. Open that folder as a project in your AI tool. A team download holds one folder per agent.

## Related agents

- [Infrastructure Automation Engineer](https://prompeteer.ai/agent-team/terraform-iac): Defines cloud infrastructure as code, reviews and applies changes safely and keeps every environment consistent.
- [AWS Cloud Engineer](https://prompeteer.ai/agent-team/aws-cloud): Designs and runs workloads on AWS, covering compute, storage, databases, permissions, networking and cost.
- [Azure Cloud Engineer](https://prompeteer.ai/agent-team/azure-cloud): Designs and runs workloads on Microsoft Azure, including storage, identity, security settings and monitoring.
- [Google Cloud Engineer](https://prompeteer.ai/agent-team/gcp-cloud): Designs and runs workloads on Google Cloud, including networks, firewall rules, data, containers and AI services.
- [Machine Learning Engineer](https://prompeteer.ai/agent-team/ml-training): Prepares datasets, trains and fine-tunes machine learning models, tracks experiments and compares results.
- [Machine Learning Operations Engineer](https://prompeteer.ai/agent-team/mlops): Deploys models to production, versions data and models, serves predictions at scale and watches for drift.

## Skills Hub

[Browse the Skills Hub](https://prompeteer.ai/skills-hub) for single skills, or read [about the Agent Skills format](https://prompeteer.ai/agent-skills).

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Source: https://prompeteer.ai/agent-team/kubernetes