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Setup

Organization
WellApp-ai
setup

One-time environment setup for new team members

Overview

PublisherWellApp-ai
RepositoryWell
Skill namesetup
Stars
342
Forks
48
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 WellApp-ai on GitHub. Read the source before you install it.

Installation

Install the Setup 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/WellApp-ai/Well.git /tmp/Well
mkdir -p .claude/skills
cp -r /tmp/Well/cursor-rules/skills/setup .claude/skills/setup
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Setup 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 Setup 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 Setup 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.

Environment Setup Skill

Use this skill for first-time setup of your development environment.

Phase 1: Core Development Tools

Verify these are installed:

  • Cursor IDE (latest version)
  • GitHub Desktop
  • Docker
  • TablePlus (database GUI)
  • Figma Desktop App - https://www.figma.com/downloads/
  • Screen.studio (optional, for demos)
  • Google Cloud SDK (only for admins)

Phase 2: Repository Setup

  1. Clone the repository
  2. Run npm install in monorepo root
  3. Start Docker: docker-compose up -d
  4. Run migrations: npm run migrate
  5. Seed database: npm run seed

Phase 2.5: Pattern Resources Orientation

Familiarize yourself with design resources:

  1. Read /docs/pattern-resources.md - External UI/UX references
  2. Read /docs/design-system/ folder - Internal tokens and guidelines
  3. Bookmark key competitor sites for your domain:

Phase 3: Environment Configuration

  1. Copy .env.example to .env in:
    • apps/api/.env
    • apps/web/.env
  2. Configure required variables

Phase 4: MCP Configuration

Installation Method: Manual (Recommended)

Cursor's UI auto-install can loop indefinitely. Edit ~/.cursor/mcp.json directly.

Complete mcp.json Template

Copy this to ~/.cursor/mcp.json and replace YOUR_* placeholders:

json
{
  "mcpServers": {
    "notion": {
      "command": "npx",
      "args": ["-y", "@notionhq/notion-mcp-server"],
      "env": {
        "OPENAPI_MCP_HEADERS": "{\"Authorization\": \"Bearer YOUR_NOTION_TOKEN\", \"Notion-Version\": \"2022-06-28\"}"
      }
    },
    "n8n-mcp": {
      "command": "npx",
      "args": ["-y", "supergateway", "--streamableHttp", "YOUR_N8N_URL/mcp-server/http", "--header", "authorization:Bearer YOUR_N8N_TOKEN"]
    },
    "context7": {
      "command": "npx",
      "args": ["-y", "@upstash/context7-mcp@latest"]
    },
    "figma": {
      "url": "http://127.0.0.1:3845/mcp"
    }
  }
}

Authentication by MCP

MCPAuth TypeHow to Get Token
NotionAPI Tokennotion.so/my-integrations > New integration > Copy token
n8nBearer Tokenn8n instance > Settings > API > Create key
Context7NoneJust works
Figma DesktopNoneEnable in Figma app Dev Mode (Shift+D)
Figma RemoteOAuthUse "url": "https://mcp.figma.com/mcp", click Connect in Cursor
BrowserNoneBuilt-in to Cursor

Browser MCP (Built-in)

Browser MCP is built into Cursor and requires no setup. Use it for:

  • Taking screenshots of competitor apps during DIVERGE phase
  • Testing Storybook stories
  • E2E workflow verification

Tip: During feature exploration, navigate to competitor apps and use browser_take_screenshot to capture reference designs.

Troubleshooting

MCP won't install (infinite loop):

  1. Cancel the operation (Cmd+C or close dialog)
  2. Manually edit ~/.cursor/mcp.json
  3. Add the config block directly
  4. Restart Cursor: Cmd+Shift+P > "Reload Window"

MCP shows disconnected:

  1. Verify JSON syntax is valid (use jsonlint.com)
  2. Check token is correct and not expired
  3. For Figma: ensure desktop app is running with MCP enabled

Verification: After restart, list MCP folder to confirm all servers loaded:

bash
ls ~/.cursor/projects/*/mcps/

Phase 5: Cursor Settings

Configure in Cursor Settings:

  • Model: Claude Opus 4.5
  • Auto mode: Disabled
  • Completion sounds: Enabled
  • Usage summary: Always

Phase 6: Verification

Run these to verify setup:

  • npm run dev - starts without errors
  • npm run typecheck - passes
  • npm run storybook - loads components

Completion

When all phases complete, you're ready to use:

  • init [Notion URL] - Start a new feature
  • plan [feature] - Create implementation plan

Frequently asked questions

What does the Setup AI skill do?

One-time environment setup for new team members

Why use Setup on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/WellApp-ai/Well/tree/main/cursor-rules/skills/setup. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Setup?

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 Setup?

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

Is the Setup AI skill free?

Yes. It is published on GitHub by WellApp-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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