Deploy

Community

fdhhhdjd

deploy

Skill to automate the full deployment process including build, test, and release steps

Overview

Publisher	fdhhhdjd
Repository	`Class-AI-Agent`
Skill name	`deploy`
Stars	268
Forks	168
Bundled files	1
Links	Skill source Repository

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.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by fdhhhdjd on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/fdhhhdjd/Class-AI-Agent/tree/main/.claude/skills/deploy
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.

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/fdhhhdjd/Class-AI-Agent.git /tmp/Class-AI-Agent
mkdir -p .claude/skills
cp -r /tmp/Class-AI-Agent/.claude/skills/deploy .claude/skills/deploy

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable 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 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 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.

Deploy Skill

Purpose

Automate the deployment pipeline: build → test → deploy → verify.

Prerequisites

All tests passing
Environment variables configured
Access to deployment target

Steps

1. Verify Clean State

bash
git status
git pull origin main

2. Run Tests

bash
npm test

If tests fail → STOP. Report failures.

3. Build

bash
npm run build

4. Deploy by Environment

Development:

bash
docker-compose -f docker-compose.dev.yml up -d --build

Production:

bash
docker-compose -f docker-compose.prod.yml pull
docker-compose -f docker-compose.prod.yml up -d

5. Health Check

bash
curl -f http://localhost:3000/health || echo "Health check failed"

6. Tail Logs (first 30 seconds)

bash
docker-compose logs --tail=50 -f app

Rollback

bash
git revert HEAD --no-edit
git push origin main
# Redeploy previous version

Success Criteria

Health endpoint returns 200
No error logs in initial 30 seconds
All smoke tests pass

Bundled files

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

deploy.md24 KB

Frequently asked questions

What does the Deploy AI skill do?

Skill to automate the full deployment process including build, test, and release steps

Why use Deploy on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/fdhhhdjd/Class-AI-Agent/tree/main/.claude/skills/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 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 Deploy?

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

Is the Deploy AI skill free?

It is published on GitHub by fdhhhdjd. Check the repository for licensing terms. 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Deploy Skill

Purpose

Prerequisites

Steps

1. Verify Clean State

2. Run Tests

3. Build

4. Deploy by Environment

5. Health Check

6. Tail Logs (first 30 seconds)

Rollback

Success Criteria

Bundled files

Frequently asked questions

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