Hetzner Deploy logo

Hetzner Deploy

CommunityPopular
fcakyon
hetzner-deploy

This skill should be used when user asks to "deploy to Hetzner", "create Hetzner server", "manage Hetzner Cloud", "hcloud CLI", or works with Hetzner Cloud infrastructure including servers, networks, firewalls, load balancers, DNS zones, and volumes.

Overview

Publisherfcakyon
Repositoryclaude-codex-settings
Skill namehetzner-deploy
Stars
1.1K
Forks
109
Bundled files
20
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.

  • 20 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Hetzner Deploy 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/fcakyon/claude-codex-settings.git /tmp/claude-codex-settings
mkdir -p .claude/skills
cp -r /tmp/claude-codex-settings/plugins/hetzner-skills/skills/hetzner-deploy .claude/skills/hetzner-deploy
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hetzner Deploy 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 Deploy 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 Deploy 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 CLI Skill

Skill for provisioning and managing infrastructure on Hetzner Cloud using the hcloud CLI. Use the decision trees below to find the right command group, then load detailed references.

Your knowledge of Hetzner Cloud pricing, server types, locations, and API behavior may be outdated. Prefer retrieval over pre-training when citing specific numbers, available types, or configuration options. The reference files alongside this skill are starting points extracted from the official CLI docs.

Authentication

The CLI authenticates via API token. Set the HCLOUD_TOKEN environment variable or create a named context:

bash
# Stateless (CI, scripting, agent use)
export HCLOUD_TOKEN="your-api-token"

# Named context (interactive use)
hcloud context create my-project

Generate tokens at https://console.hetzner.cloud under your project's Security > API Tokens.

Installation

bash
# macOS / Linux (Homebrew)
brew install hcloud

# Linux (binary)
curl -sSLO https://github.com/hetznercloud/cli/releases/latest/download/hcloud-linux-amd64.tar.gz
sudo tar -C /usr/local/bin --no-same-owner -xzf hcloud-linux-amd64.tar.gz hcloud

# Docker
docker run --rm -e HCLOUD_TOKEN="$HCLOUD_TOKEN" hetznercloud/cli:latest <command>

Quick Decision Trees

"I need compute"

Need a server?
├─ Create a new server → hcloud server create --name <n> --type <t> --image <img>
├─ With cloud-init user data → add --user-data-from-file <path>
├─ With firewall + network → add --firewall <fw> --network <net>
├─ List available types → hcloud server-type list
├─ List available images → hcloud image list
├─ SSH into server → hcloud server ssh <name>
├─ Create snapshot → hcloud server create-image --type snapshot <name>
├─ Rescue mode → hcloud server enable-rescue <name>
└─ Delete server → hcloud server delete <name>

"I need networking"

Need networking?
├─ Private network (VPC) → hcloud network create --name <n> --ip-range <cidr>
│  ├─ Add subnet → hcloud network add-subnet --network <n> --type cloud --network-zone <z> --ip-range <cidr>
│  └─ Attach server → hcloud server attach-to-network --network <n> --server <s>
├─ Firewall → hcloud firewall create --name <n> --rules-file <json>
│  ├─ Apply to server → hcloud firewall apply-to-resource --firewall <n> --type server --server <s>
│  └─ Replace rules → hcloud firewall replace-rules --rules-file <json> <name>
├─ Load balancer → hcloud load-balancer create --name <n> --type <t> --location <loc>
│  ├─ Add target → hcloud load-balancer add-target --server <s> <lb>
│  └─ Add service → hcloud load-balancer add-service --protocol <p> --listen-port <port> <lb>
├─ Floating IP → hcloud floating-ip create --type ipv4 --home-location <loc>
│  └─ Assign → hcloud floating-ip assign <ip> --server <s>
└─ Primary IP → hcloud primary-ip create --name <n> --type ipv4 --datacenter <dc>

"I need storage"

Need storage?
├─ Block volume → hcloud volume create --name <n> --size <gb> --server <s> --automount --format ext4
│  ├─ Resize → hcloud volume resize --size <gb> <name>
│  └─ Detach → hcloud volume detach <name>
└─ Storage Box (managed NFS/CIFS/SCP) → hcloud storage-box create --name <n> --type <t> --location <loc>
   ├─ Subaccounts → hcloud storage-box subaccount create <box>
   └─ Snapshots → hcloud storage-box snapshot create <box>

"I need DNS"

Need DNS?
├─ Create zone → hcloud zone create --name <domain>
├─ Add records → hcloud zone add-records --zone <z> --type A --name <n> --value <ip>
├─ Set full record set → hcloud zone set-records --zone <z> --type A --name <n> --value <ip1> --value <ip2>
├─ Import zone file → hcloud zone import-zonefile --zone <z> <file>
├─ Export zone file → hcloud zone export-zonefile <zone>
└─ Manage individual RRSets → hcloud zone rrset list <zone>

"I need info"

Need reference data?
├─ Server types + pricing → hcloud server-type list / describe <type>
├─ Locations → hcloud location list / describe <loc>
├─ Datacenters → hcloud datacenter list / describe <dc>
├─ Available images → hcloud image list
├─ ISO images → hcloud iso list
├─ Load balancer types → hcloud load-balancer-type list
└─ Storage box types → hcloud storage-box-type list

"I need to configure the CLI"

Need CLI config?
├─ Create context → hcloud context create <name>
├─ Switch context → hcloud context use <name>
├─ Set default SSH key → hcloud config set default-ssh-keys <key>
├─ View config → hcloud config list
└─ Shell completion → hcloud completion bash/zsh/fish

Common Workflows

Quick server deploy

bash
# Upload SSH key, create server, connect
hcloud ssh-key create --name deploy-key --public-key-from-file ~/.ssh/id_ed25519.pub
hcloud server create --name web-1 --type cpx21 --image ubuntu-24.04 --ssh-key deploy-key --location fsn1
hcloud server ssh web-1

Full stack with network + firewall

bash
# Network
hcloud network create --name prod-net --ip-range 10.0.0.0/16
hcloud network add-subnet --network prod-net --type cloud --network-zone eu-central --ip-range 10.0.1.0/24

# Firewall (allow SSH + HTTP/S)
cat > rules.json << 'EOF'
[
  {"direction":"in","protocol":"tcp","port":"22","source_ips":["0.0.0.0/0","::/0"]},
  {"direction":"in","protocol":"tcp","port":"80","source_ips":["0.0.0.0/0","::/0"]},
  {"direction":"in","protocol":"tcp","port":"443","source_ips":["0.0.0.0/0","::/0"]}
]
EOF
hcloud firewall create --name web-fw --rules-file rules.json

# Server with network + firewall
hcloud server create --name app-1 --type cpx21 --image ubuntu-24.04 \
  --ssh-key deploy-key --network prod-net --firewall web-fw --location fsn1

# Load balancer
hcloud load-balancer create --name web-lb --type lb11 --location fsn1
hcloud load-balancer attach-to-network --network prod-net web-lb
hcloud load-balancer add-target --server app-1 web-lb
hcloud load-balancer add-service --protocol tcp --listen-port 80 --destination-port 80 web-lb

Output Formats

All describe, list, and create commands support structured output for scripting and agent use:

bash
hcloud server list --output json          # JSON array
hcloud server describe my-srv --output yaml  # YAML
hcloud server describe my-srv --output format='{{.ServerType.Cores}}'  # Go template
hcloud server list --output columns=id,name,status  # Custom table columns

Resource Index

Compute

ResourceReference
Serverreferences/server/
Server Typesreferences/info/

Networking

ResourceReference
Network (VPC)references/network/
Firewallreferences/firewall/
Load Balancerreferences/load-balancer/
Floating IPreferences/floating-ip/
Primary IPreferences/primary-ip/

Storage

ResourceReference
Volumereferences/volume/
Storage Boxreferences/storage-box/

DNS

ResourceReference
Zone & Recordsreferences/dns/

Security & Access

ResourceReference
SSH Keyreferences/ssh-key/
Certificatereferences/certificate/
Imagereferences/image/
Placement Groupreferences/placement-group/

Reference Data

ResourceReference
Server Types, LB Types, Storage Box Types, Datacenters, Locations, ISOsreferences/info/

CLI Configuration

ResourceReference
Config, Context, Completionreferences/config/
All Resourcesreferences/all/

Getting Started

ResourceReference
Setup, Server Tutorial, Output Options, Configurationreferences/getting-started/

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Hetzner Deploy AI skill do?

This skill should be used when user asks to "deploy to Hetzner", "create Hetzner server", "manage Hetzner Cloud", "hcloud CLI", or works with Hetzner Cloud infrastructure including servers, networks, firewalls, load balancers, DNS zones, and volumes.

Why use Hetzner Deploy on TypingMind?

Because you install it once and use it with any model. Hetzner Deploy 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 Deploy in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/fcakyon/claude-codex-settings/tree/main/plugins/hetzner-skills/skills/hetzner-deploy. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Hetzner Deploy?

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 Deploy?

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

Is the Hetzner Deploy AI skill free?

Yes. It is published on GitHub by fcakyon 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 👇