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Create a new project to start development quickly

Overview

Publisherclacky-ai
Repositoryopenclacky
Skill namenew
Stars
1.2K
Forks
111
Bundled files
1
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.

  • 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 clacky-ai on GitHub. Read the source before you install it.

Installation

Install the New 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.
    https://github.com/clacky-ai/openclacky/tree/main/lib/clacky/default_skills/new
  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/clacky-ai/openclacky.git /tmp/openclacky
mkdir -p .claude/skills
cp -r /tmp/openclacky/lib/clacky/default_skills/new .claude/skills/new
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable New 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 New 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 New 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.

Create New Project

Usage

When user wants to create a new Rails project:

  • "help me create a new Rails project"
  • "I want to start a new Rails project"
  • "/new"

Process Steps

0. Ask Project Type and Requirement

Before doing anything, call ask_user with a structured prompt. Use the following as a guide:

zh:

json
{
  "question": "请选择项目类型,并用一句话描述你想做什么:",
  "context": "开始新项目前需要知道项目类型和需求,请先完成填写。",
  "options": ["⚡ Demo — 无数据库,AI 自由发挥,快速原型", "🏗️ Production — 真实应用,可部署,完整 Rails 配置"]
}

en:

json
{
  "question": "Choose a project type and describe what you want to build in one sentence:",
  "context": "Tell us what kind of project to create so we can get started.",
  "options": ["⚡ Demo — no database, AI builds freely, quick prototype", "🏗️ Production — real app, ready to deploy, full Rails setup"]
}

Based on user's choice:

  • If Demo: do NOT follow the Rails setup steps below. Instead, freely build a simple HTML/CSS/JS (or React) prototype directly in the working directory based on their requirement. Use your creativity.
  • If Production: continue with steps 1–3 below (full Rails flow).

1. Check Directory Before Starting

Before running the setup script, check if current directory is empty:

  • Use glob tool to check if directory has files: glob("*", base_path: ".")
  • If directory is NOT empty, ask user for confirmation: "Current directory is not empty. Continue anyway? (y/n)"
  • If user declines, abort and suggest creating project in an empty directory

2. Run Setup Script

Execute the create_rails_project.sh script (see Supporting Files below) in current directory. Use the exact absolute path shown in the Supporting Files section:

bash
<absolute path to create_rails_project.sh from Supporting Files>

The script will automatically:

Step 1: Clone Template

  • Clone rails-template-7x-starter to a temporary directory
  • Move all files to current directory
  • Delete template's .git directory
  • Initialize new git repository with initial commit

Step 2: Check Environment

  • Run rails_env_checker.sh to verify dependencies:
    • Ruby >= 3.3.0 (auto-installed via mise if missing or too old — supports CN mirrors)
    • Node.js >= 22.0.0 (will install automatically if missing on macOS/Ubuntu)
    • PostgreSQL (will install automatically if missing on macOS/Ubuntu)
  • Script automatically installs missing dependencies without prompting

Step 3: Install Project Dependencies

  • Run ./bin/setup to:
    • Install Ruby gems (bundle install)
    • Install npm packages (npm install)
    • Copy configuration files
    • Setup database (db:prepare)

Step 4: Project Setup Complete

  • Script completes successfully
  • Project is ready to run

3. Start Development Server

After the script completes, read the .1024 config file in the project root to find the run_command, then start it in the background via the terminal tool:

# First, read .1024 to get the run_command (usually `bin/dev` for Rails):
file_reader(path: ".1024")

# Then start the server in the background:
terminal(command: "<run_command from .1024>", background: true)

Important: If the terminal call returns a session_id (and no error), the server has started successfully. You can inspect logs later by polling the same session_id with an empty input.

Then inform the user and ask what to develop next:

✨ Rails project created successfully!

The development server is now running at: http://localhost:3000

You can open your browser and visit the URL to see the application.

What would you like to develop next?

Error Handling

  • Directory not empty → Ask user confirmation, abort if declined
  • Git clone fails → Check network connection, verify repository URL
  • Ruby < 3.3 or missing → Automatically installs Ruby 3.3 via mise (with CN mirror support); exits with instructions if mise install fails
  • Node.js < 22 → Script installs automatically (macOS/Ubuntu)
  • PostgreSQL missing → Script installs automatically (macOS/Ubuntu)
  • bin/setup fails → Show error, suggest running ./bin/setup manually
  • Dev server fails to start → Poll the terminal session (empty input) to check logs, verify database status

Example Interaction

User: "/new"

Response:

  1. Checking if current directory is empty...
  2. Running create_rails_project.sh in current directory
  3. Cloning Rails template from GitHub...
  4. Checking environment dependencies...
  5. Installing project dependencies...
  6. Project setup complete!
  7. Starting development server via terminal (background)...
  8. ✨ Server running! Visit http://localhost:3000

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 New AI skill do?

Create a new project to start development quickly

Why use New on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/clacky-ai/openclacky/tree/main/lib/clacky/default_skills/new. 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 New?

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 New?

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

Is the New AI skill free?

Yes. It is published on GitHub by clacky-ai 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.

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