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Scaffold Project

Community
faizkhairi
scaffold-project

Scaffold a new project with standard structure, configs, and CLAUDE.md

Overview

Publisherfaizkhairi
Repositoryclaude-code-blueprint
Skill namescaffold-project
Stars
73
Forks
22
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 faizkhairi on GitHub. Read the source before you install it.

Installation

Install the Scaffold Project 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/faizkhairi/claude-code-blueprint/tree/main/skills/scaffold-project
  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/faizkhairi/claude-code-blueprint.git /tmp/claude-code-blueprint
mkdir -p .claude/skills
cp -r /tmp/claude-code-blueprint/skills/scaffold-project .claude/skills/scaffold-project
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Scaffold Project 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 Scaffold Project 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 Scaffold Project 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.

Before using: Replace {PROJECTS_ROOT} and {BOILERPLATE_NAME} with your actual paths in your copy of this skill. (./memory/ is the built-in memory folder, no replacement needed.)

Example only, these scaffolds target JS/TS stacks (Nuxt, Next, Node, npm library). This is a project generator, so its type menu is intentionally stack-specific. Replace the type: list and the per-type steps below with your own stack's scaffolds, such as rails new, django-admin startproject, cargo new, dotnet new, go mod init, mvn archetype:generate, etc.

Initialize a new project at {PROJECTS_ROOT}/$ARGUMENTS:

  1. Parse arguments: Extract project name and type (default: nuxt)

  2. Create project based on type (before copying any boilerplate: verify the template directory exists with test -d. If missing, fall back to framework CLI scaffolding, such as npx nuxi, npx create-next-app, etc.):

    • nuxt (or from template): Use {PROJECTS_ROOT}/{BOILERPLATE_NAME} as template, copy or clone into new directory, then replace app name in package.json/README. Alternatively: npx nuxi@latest init [name] then add Tailwind, Prisma, Vitest.
    • next: Use {PROJECTS_ROOT}/{BOILERPLATE_NAME} as template, copy into new directory, update package name and README.
    • vue-springboot: Use {PROJECTS_ROOT}/{BOILERPLATE_NAME} as template, copy into new directory, update backend/frontend names and README.
    • expo: Use {PROJECTS_ROOT}/{BOILERPLATE_NAME} as template, copy into new directory, update app.json name and README.
    • node: Create Express/Fastify project with TypeScript, Prisma, Vitest
    • library: Create npm package with TypeScript, Vitest, tsup bundler
  3. When using a boilerplate template: Copy the template folder to {PROJECTS_ROOT}/[project-name], then update any project-specific names (package.json name, README title, app.json slug, etc.). Skip step 4 if template already has CLAUDE.md and .env.example.

  4. Generate standard files (if not from template or if template is minimal):

    • CLAUDE.md with project-specific instructions, commands, and stack description
    • .env.example with required environment variables
    • .gitignore tailored to the stack
    • vitest.config.ts with sensible defaults (for JS/TS projects)
  5. Initialize git: git init and create initial commit (if not already a git repo)

  6. Register in memory: Create project entry in ./memory/projects/active/ using the coding template at ./memory/templates/coding-template.md

  7. Report: Show project structure and next steps. For templates, remind user to set env vars (e.g. DATABASE_URL, NEXTAUTH_SECRET, JWT_SECRET) per template README.

Frequently asked questions

What does the Scaffold Project AI skill do?

Scaffold a new project with standard structure, configs, and CLAUDE.md

Why use Scaffold Project on TypingMind?

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

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

Which AI models can use Scaffold Project?

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 Scaffold Project?

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

Is the Scaffold Project AI skill free?

Yes. It is published on GitHub by faizkhairi 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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