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Vps Docker Traefik Deploy

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thienanblog
vps-docker-traefik-deploy

Prepare or operate production Docker Compose deployments on a VPS with Traefik, DNS, registries, persistent storage, backups, and rollback. Use for production infrastructure and releases, rather than local development.

Overview

Publisherthienanblog
Repositoryawesome-ai-agent-skills
Skill namevps-docker-traefik-deploy
Stars
66
Forks
21
Bundled files
4
LicenseApache-2.0
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.

  • 4 bundled files

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

  • Open source

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

Installation

Install the Vps Docker Traefik 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/thienanblog/awesome-ai-agent-skills.git /tmp/awesome-ai-agent-skills
mkdir -p .claude/skills
cp -r /tmp/awesome-ai-agent-skills/plugins/project-development-skills/skills/vps-docker-traefik-deploy .claude/skills/vps-docker-traefik-deploy
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Vps Docker Traefik 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 Vps Docker Traefik 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 Vps Docker Traefik 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.

VPS Docker Traefik Deploy

Deliver the requested deployment work using the project's operating contract. Distinguish planning and file preparation from changing a live environment.

Working agreement

Follow the user's request and applicable repository instructions over these defaults. Use existing authorization; ask only about missing decisions that materially affect scope, cost, safety, or the result. Continue independent authorized work while awaiting an answer.

Run in the main conversation by default. Delegation can increase usage: obtain explicit approval for the proposed agent count and scope before using subagents. Reuse that approval within its bounds; ask again before expanding the approved count or scope.

Establish the target

Read existing runbooks, Compose and Traefik configuration, release scripts, and available host evidence. Establish the target host, OS, domains, ingress, registry, persistent data, backup/restore expectations, and deployment authorization. Discover facts before asking; a routine release does not need a fresh infrastructure questionnaire.

For an existing deployment, preserve supported topology and required release gates. For a new one, prefer a supported Ubuntu LTS or Debian stable host, an operator account with appropriate privileges, registry-built immutable images, and Traefik ingress. Verify current official installation guidance when provisioning; reference commands are examples, not a reason to reinstall a working host.

Keep production boundaries explicit

  • Use authorization already granted for the named environment and action. Prepare configuration, diffs, checks, and rollback before asking for any missing live-operation approval. Ask about a new destructive migration or exposure outside that scope.
  • Keep databases, caches, registry/admin dashboards, and internal app ports private by default. Expose only needed ingress and operator access, commonly SSH, HTTP/ACME, and HTTPS. Use loopback bindings and SSH tunnels for private operator tools when suitable.
  • Keep credentials out of images, source, logs, and reports. Preserve persistent state outside container writable layers.
  • Use immutable image tags or digests and retain the prior release. Avoid server-side rebuilds and mutable latest references for releases unless the established operating contract provides equivalent reproducibility.
  • Address backup and rollback for affected persistent state. A container rollback cannot undo an incompatible database migration; establish the recovery path before applying it.

Prepare, deploy, verify

Choose only the references needed for the work:

WorkReference
New host, operator access, SSH/firewall, Dockerserver-baseline.md
Traefik, TLS, DNS, dashboard accesstraefik-dns.md
Registries, persistence, capacity, backup and restoreregistry-storage-backup.md
Rollout, health, rollback, maintenancedeploy-checklist.md

Validate the effective configuration without exposing secrets, confirm image availability and recovery readiness, then execute the authorized rollout. Verify container health, public routes/TLS, logs, and affected application flows. Test restore in an isolated target when required; never restore over live data as a casual verification step.

Reuse valid evidence for unchanged responsibilities, while completing the project's production release gate. Pruning, retention changes, DNS changes, and host hardening belong in a release only when needed and authorized.

Handoff

Report what was prepared or deployed, the target and immutable release identifier, checks and results, and rollback readiness. For new infrastructure, include topology, public exposure, state ownership, and recovery commands. Do not reproduce the full infrastructure plan for every routine release or claim a restore was tested when only its configuration was inspected.

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 Vps Docker Traefik Deploy AI skill do?

Prepare or operate production Docker Compose deployments on a VPS with Traefik, DNS, registries, persistent storage, backups, and rollback. Use for production infrastructure and releases, rather than local development.

Why use Vps Docker Traefik Deploy on TypingMind?

Because you install it once and use it with any model. Vps Docker Traefik 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 Vps Docker Traefik Deploy in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/thienanblog/awesome-ai-agent-skills/tree/main/plugins/project-development-skills/skills/vps-docker-traefik-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 Vps Docker Traefik 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 Vps Docker Traefik Deploy?

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

Is the Vps Docker Traefik Deploy AI skill free?

Yes. It is published on GitHub by thienanblog under the Apache-2.0 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.

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