Hetzner Cloud logo

Hetzner Cloud

Community
laguagu
hetzner-cloud

Manage Hetzner Cloud infrastructure with the `hcloud` CLI — servers, networks, firewalls, load balancers, volumes, DNS zones, SSH keys, primary/floating IPs, snapshots, certificates, placement groups, storage boxes. Use whenever the user mentions Hetzner, hcloud, VPS provisioning, or Hetzner location codes (fsn1, hel1, nbg1, ash, hil, sin) — even if they don't say "hcloud". CLI-only; does NOT cover Hetzner Robot (dedicated servers, separate product and API).

Overview

Publisherlaguagu
Repositoryclaude-code-nextjs-skills
Skill namehetzner-cloud
Stars
64
Forks
18
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by laguagu on GitHub. Read the source before you install it.

Installation

Install the Hetzner Cloud AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/laguagu/claude-code-nextjs-skills.git /tmp/claude-code-nextjs-skills
mkdir -p .claude/skills
cp -r /tmp/claude-code-nextjs-skills/skills/hetzner-cloud .claude/skills/hetzner-cloud
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hetzner Cloud in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Hetzner Cloud on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Hetzner Cloud is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Hetzner Cloud

Operate Hetzner Cloud through the hcloud CLI. When in doubt about server types, prices, locations, images, or flag syntax, run the discovery command rather than rely on this file or pretraining — the CLI is current.

Authenticate

Generate a token in Hetzner Console → project → Security → API Tokens, then either:

bash
hcloud context create <name>      # interactive: stored in cli.toml, persists across shells
export HCLOUD_TOKEN="…"           # CI/scripts: most commands read this automatically

hcloud context create is the one common case that still prompts even with the env var set — pass --token-from-env to skip the prompt in non-interactive sessions.

Health check: hcloud datacenter list.

Mental model

hcloud manages everything inside Hetzner Cloud: servers, networks, firewalls, load balancers, volumes, DNS zones, SSH keys, primary/floating IPs, snapshots, certificates, placement groups, storage boxes.

It does not manage:

  • Hetzner Robot — dedicated/auction servers, separate product and API.
  • Project creation, billing, team membership, API token issuing — web console only.

Discovery beats memorization. Pretraining ages; the CLI is current.

QuestionCommand
Server types and priceshcloud server-type list
Locations and datacentershcloud location list
OS imageshcloud image list --type system (add --architecture arm for ARM)
Command/flag detailshcloud <resource> <verb> --help
Everything in this project at a glancehcloud all list
Is a server actually reachable?hcloud server describe <srv> -o jsonpublic_net.ipv4.blocked (see gotcha 9)

Structured output for scripts: --output json | jq …, --output columns=id,name,status, --output format='{{.PublicNet.IPv4.IP}}'.

Workflows where order matters

Single commands are well-covered by --help. The chains worth pinning down:

Server with SSH key + firewall, ready to log in — key and firewall must exist before server create references them:

bash
hcloud ssh-key  create --name <key> --public-key-from-file ~/.ssh/id_ed25519.pub
hcloud firewall create --name <fw>  --rules-file rules.json
hcloud server   create --name <srv> --type <type> --image ubuntu-24.04 \
                       --location hel1 --ssh-key <key> --firewall <fw>
hcloud server ssh <srv>

Replace firewall rules atomically (don't drift via repeated add-rule):

bash
hcloud firewall replace-rules --rules-file rules.json <fw>

Gotchas

  1. Public IPs get recycled. A new server may inherit a previously-used IP and SSH refuses with REMOTE HOST IDENTIFICATION HAS CHANGED!. After deleting a server, ssh-keygen -R <ip> and let ssh-keyscan re-add the new host key.

  2. Context vs HCLOUD_TOKEN. Context (in user-config cli.toml) persists across shells — preferred for interactive work. Env var is preferred for non-interactive use, paired with --token-from-env. A token sitting in a .env file is not automatically exported — shells must source it.

  3. Volumes are location-pinned. A volume in fsn1 cannot attach to a server in hel1. Match --location at creation.

  4. hcloud zone is only half of DNS. The registrar's NS records must point to Hetzner's nameservers before queries resolve. Without that, the zone is just an internal database.

  5. Match location to where users are; pretraining defaults to fsn1. Run hcloud location list and pick the closest. Private networks can't span network zones, only locations within one: eu-central (fsn1/hel1/nbg1), us-east (ash), us-west (hil), ap-southeast (sin).

  6. Don't quote prices or server-type specs from memory. Always verify with hcloud server-type list before committing — names, specs, and pricing shift.

  7. Deletion is immediate and unrecoverable. No undo on server delete or volume delete. describe first; create a snapshot (hcloud server create-image --type snapshot <srv>) beforehand if you might want the server back.

  8. Hetzner Cloud ≠ Hetzner Robot. If the user mentions dedicated servers, server auctions, or the Robot dashboard — that's the other product. Surface the distinction; don't try to manage it here.

  9. status: running is not reachability — check blocked. Hetzner null-routes a server's IPs at the network level for abuse reports or unpaid invoices. The server keeps reporting running and locked: false while nothing reaches it: not SSH, not the app, not ICMP.

    bash
    hcloud server describe <srv> -o json | jq '.public_net | {v4:.ipv4.blocked, v6:.ipv6.blocked}'

    blocked: true cannot be cleared from the API or the console — only Hetzner support lifts it. Do not debug firewalls, pg_hba, or application timeouts until you have ruled this out; the symptom is an indistinguishable ETIMEDOUT. Two tells that point here rather than at an allowlist: a port that is open to 0.0.0.0/0 (usually SSH/22) times out at the same moment as the application port, and every server on the account is blocked at once — that means an account-level action (billing or abuse), not a per-server fault.

  10. replace-rules needs source_ips as a real JSON array. The file must match the API schema exactly, and hcloud rejects the whole file — leaving the old rules silently in place — if one field is shaped wrong:

    json: cannot unmarshal object into Go struct field FirewallRule.source_ips of type []string

    In PowerShell, build source_ips as an array (for example @('10.0.0.0/8', '192.168.0.0/16')) and pass enough ConvertTo-Json -Depth for the full rule structure. Since the write is all-or-nothing, always read the result back rather than assuming it applied:

    bash
    hcloud firewall describe <fw> -o json | jq '.rules[] | {port, n: (.source_ips|length)}'

Docs

Frequently asked questions

What does the Hetzner Cloud AI skill do?

Manage Hetzner Cloud infrastructure with the `hcloud` CLI — servers, networks, firewalls, load balancers, volumes, DNS zones, SSH keys, primary/floating IPs, snapshots, certificates, placement groups, storage boxes. Use whenever the user mentions Hetzner, hcloud, VPS provisioning, or Hetzner location codes (fsn1, hel1, nbg1, ash, hil, sin) — even if they don't say "hcloud". CLI-only; does NOT cover Hetzner Robot (dedicated servers, separate product and API).

Why use Hetzner Cloud on TypingMind?

Because you install it once and use it with any model. Hetzner Cloud is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Hetzner Cloud in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/laguagu/claude-code-nextjs-skills/tree/main/skills/hetzner-cloud. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Hetzner Cloud?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Hetzner Cloud?

As many as you like. As long as a model supports skills, you can use Hetzner Cloud with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Hetzner Cloud AI skill free?

Yes. It is published on GitHub by laguagu under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇