engine-manage

Manage the Kurtosis engine server. Start, stop, restart the engine, check status, and view engine logs. Covers both Docker and Kubernetes engine backends. Use when the engine won't start, needs restarting, or you need to check engine health.

533 stars

Best use case

engine-manage is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Manage the Kurtosis engine server. Start, stop, restart the engine, check status, and view engine logs. Covers both Docker and Kubernetes engine backends. Use when the engine won't start, needs restarting, or you need to check engine health.

Manage the Kurtosis engine server. Start, stop, restart the engine, check status, and view engine logs. Covers both Docker and Kubernetes engine backends. Use when the engine won't start, needs restarting, or you need to check engine health.

Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.

Practical example

Example input

Use the "engine-manage" skill to help with this workflow task. Context: Manage the Kurtosis engine server. Start, stop, restart the engine, check status, and view engine logs. Covers both Docker and Kubernetes engine backends. Use when the engine won't start, needs restarting, or you need to check engine health.

Example output

A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.

When to use this skill

  • Use this skill when you want a reusable workflow rather than writing the same prompt again and again.

When not to use this skill

  • Do not use this when you only need a one-off answer and do not need a reusable workflow.
  • Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/engine-manage/SKILL.md --create-dirs "https://raw.githubusercontent.com/kurtosis-tech/kurtosis/main/skills/engine-manage/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/engine-manage/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How engine-manage Compares

Feature / Agentengine-manageStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Manage the Kurtosis engine server. Start, stop, restart the engine, check status, and view engine logs. Covers both Docker and Kubernetes engine backends. Use when the engine won't start, needs restarting, or you need to check engine health.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Engine Manage

Manage the Kurtosis engine server lifecycle.

## Status

```bash
kurtosis engine status
```

Shows whether the engine is running and its version.

## Start

```bash
# Start with default settings
kurtosis engine start

# Start with debug images
kurtosis --debug-mode engine start
```

On Kubernetes, the engine runs as a pod in a `kurtosis-engine-*` namespace. You also need to run `kurtosis gateway` to access it from your local machine.

## Stop

```bash
kurtosis engine stop
```

## Restart

```bash
kurtosis engine restart
```

Equivalent to stop + start. Useful after changing cluster settings or upgrading.

## View logs

```bash
kurtosis engine logs
```

Dumps engine server logs. Useful for diagnosing startup failures or API errors.

## Docker vs Kubernetes

```bash
# Check which backend is active
kurtosis cluster get

# Switch to Docker
kurtosis cluster set docker
kurtosis engine restart

# Switch to Kubernetes
kurtosis cluster set kubernetes
kurtosis engine restart
kurtosis gateway  # Required for k8s
```

## Engine on Kubernetes

When running on Kubernetes:

```bash
# The engine runs in its own namespace
kubectl get ns | grep kurtosis-engine

# Check engine pod
kubectl get pods -n <engine-namespace>

# View engine logs directly
kubectl logs <engine-pod> -n <engine-namespace>

# Start the gateway (required for local CLI to reach k8s engine)
kurtosis gateway &
```

## Common issues

| Symptom | Fix |
|---------|-----|
| `No Kurtosis engine is running` | Run `kurtosis engine start` |
| Engine starts but `engine status` shows nothing (k8s) | Start the gateway: `kurtosis gateway` |
| Version mismatch warning | `kurtosis engine restart` to match CLI version |
| Engine start hangs (k8s) | Check pods: `kubectl get pods -A \| grep kurtosis` |
| Old engine blocking new start | `kurtosis engine stop` then clean namespaces |

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