Agent skill

setup

Configure MeiGen plugin provider and API keys. Use this when the user runs /meigen:setup, asks to "configure meigen", "set up image generation", "add API key", or needs help configuring the plugin.

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Install this agent skill to your Project

npx add-skill https://github.com/jau123/MeiGen-AI-Design-MCP/tree/main/plugin/skills/setup

SKILL.md

MeiGen Plugin Setup

You are guiding the user through configuring the MeiGen plugin for image generation. Follow this flow step by step.

Step 1: Welcome

First, check if a config file already exists:

bash
cat ~/.config/meigen/config.json 2>/dev/null

Also check for existing ComfyUI workflows:

bash
ls ~/.config/meigen/workflows/*.json 2>/dev/null

If config exists, show the current configuration (mask API keys: show first 10 chars + "...") and any saved workflows. Ask if they want to reconfigure.

If no config exists, present this introduction:

MeiGen Plugin Configuration

This is optional. Without configuration, you can still use free features:

  • Search gallery for inspiration and prompts
  • Enhance simple ideas into professional prompts
  • Browse available AI models

Configuring a provider unlocks image generation.

Then proceed to Step 2.

Step 2: Choose Provider

Present these options to the user:

Option A: MeiGen Platform (Recommended)

  • Supports Nanobanana 2, Seedream 5.0, GPT image 1.5 and more
  • Reference image support for style transfer
  • No additional accounts needed — just get a token from meigen.ai

Option B: ComfyUI (Local)

  • Use your local ComfyUI installation for image generation
  • Full control over models, samplers, and workflow settings
  • No cloud API needed — runs entirely on your machine
  • Import your own workflow from ComfyUI

Option C: Custom OpenAI-Compatible API

  • Use your own OpenAI, Together AI, Fireworks AI, or any OpenAI-compatible service
  • Bring your own API key and billing
  • Supports any model that uses the OpenAI /v1/images/generations endpoint

Option D: Import from curl Example

  • Already have a working curl command from your API provider's docs? Paste it directly!
  • We'll automatically extract the API key, base URL, and model name

Option E: Skip image generation for now

  • Free features still available (inspiration search, prompt enhancement, model listing)
  • You can run /meigen:setup anytime later to enable image generation

If user chooses Skip, say goodbye and exit. Otherwise continue to the appropriate Step 3.

Step 3A: MeiGen Platform Setup

Ask the user:

Do you already have a MeiGen API token, or do you need to create one?

If they need to create one:

Provide these instructions:

  1. Go to https://www.meigen.ai
  2. Sign in or create an account
  3. Navigate to Settings (click your avatar) → API Keys
  4. Click Create API Key, give it a name
  5. Copy the token (starts with meigen_sk_)

Then ask them to paste the token.

If they already have one:

Ask them to paste their meigen_sk_... token.

Validate the token:

  • Must start with meigen_sk_
  • Must be at least 30 characters long

If valid, proceed to Step 4 with this config:

json
{
  "meigenApiToken": "<the token>"
}

Step 3B: ComfyUI (Local) Setup

3B-1: Check Connection

Ask the user for their ComfyUI server URL:

What is your ComfyUI server URL? (default: http://localhost:8188)

Test the connection:

bash
curl -s <URL>/system_stats | head -c 200
  • Success: Show confirmation and continue to 3B-2
  • Failure: Tell the user:

    Cannot connect to ComfyUI at <URL>. Please make sure:

    1. ComfyUI is running (start it with python main.py or your launcher)
    2. The URL and port are correct
    3. No firewall is blocking the connection

3B-2: Import Workflow

Explain the workflow export process to the user:

To use ComfyUI with this plugin, you need to export a workflow in API format:

  1. Open ComfyUI in your browser (usually http://localhost:8188)
  2. Load or create your preferred workflow
  3. Click ⚙️ Settings → enable "Enable Dev mode options"
  4. Click the "Save (API Format)" button that appears
  5. Save the downloaded .json file somewhere convenient

Then ask them to provide the file path:

Please provide the path to your exported workflow JSON file: Example: ~/Downloads/workflow_api.json

Use the comfyui_workflow tool with action import to import the workflow:

  • Ask for a short name for the workflow (e.g., "txt2img", "anime", "realistic")
  • Call: comfyui_workflow import with filePath and name
  • Show the detected nodes and parameters to the user for confirmation

If the import succeeds, ask if they want to import additional workflows. If yes, repeat this step.

3B-3: Save Configuration

Build the config JSON:

json
{
  "comfyuiUrl": "<the URL, omit if http://localhost:8188>",
  "comfyuiDefaultWorkflow": "<the first imported workflow name>"
}

Proceed to Step 4 to save. The workflow files are already saved by the import step.

Step 3C: Custom OpenAI-Compatible API Setup

Collect the following information. Present common presets first for convenience:

Quick Presets

Service Base URL Default Model
OpenAI https://api.openai.com (default) gpt-image-1.5
Together AI https://api.together.xyz/v1 (check their docs)
Fireworks AI https://api.fireworks.ai/inference/v1 (check their docs)

Ask the user to either pick a preset or provide custom values.

Required Fields

  1. API Key (required): Their API key for the service

    • Example: sk-... for OpenAI
  2. Base URL (optional): API endpoint URL

    • Default: https://api.openai.com
    • Only needed if using a non-OpenAI service
  3. Model Name (optional): Which model to use

    • Default: gpt-image-1.5
    • Different services use different model names

Optional: Test the connection

After collecting the info, suggest testing with curl:

bash
curl -s <BASE_URL>/v1/models \
  -H "Authorization: Bearer <API_KEY>" | head -c 500

This helps catch invalid keys or wrong URLs before saving.

Proceed to Step 4 with config from the collected fields (see bottom of this section for format).

Only include fields that differ from defaults. Omit openaiBaseUrl if it's https://api.openai.com, omit openaiModel if it's gpt-image-1.5.

Step 3D: Import from curl Example

Ask the user to paste their curl command. Common formats they might paste:

Format 1: Image generation endpoint

bash
curl https://api.openai.com/v1/images/generations \
  -H "Authorization: Bearer sk-xxx" \
  -H "Content-Type: application/json" \
  -d '{"model": "gpt-image-1.5", "prompt": "a cat", "n": 1, "size": "1024x1024"}'

Format 2: Simple model list test

bash
curl https://api.together.xyz/v1/models \
  -H "Authorization: Bearer xxx"

Format 3: With -u flag or other auth styles

bash
curl -u :sk-xxx https://api.fireworks.ai/inference/v1/images/generations \
  -d '{"model": "accounts/fireworks/models/flux", "prompt": "a cat"}'

Parse the curl command and extract:

  1. Base URL: The URL hostname + base path (strip /v1/images/generations, /v1/models, etc.)

    • https://api.openai.com/v1/images/generationshttps://api.openai.com
    • https://api.together.xyz/v1/modelshttps://api.together.xyz/v1
    • If URL ends with /v1/..., keep the /v1 part only if it's NOT api.openai.com
  2. API Key: From Authorization: Bearer <key> header, or -u :<key> flag, or --header variants

  3. Model: From the JSON request body "model": "<value>" if present

Show parsed results for confirmation:

I extracted the following from your curl command:

  • API Key: sk-xxx... (first 10 chars)
  • Base URL: https://api.together.xyz/v1
  • Model: black-forest-labs/FLUX.1-schnell

Does this look correct?

If user confirms, proceed to Step 4. If not, let them correct individual fields.

Step 4: Save Configuration

Build the config JSON based on the chosen provider:

For MeiGen:

json
{
  "meigenApiToken": "<the token>"
}

For ComfyUI:

json
{
  "comfyuiUrl": "<url, omit if default>",
  "comfyuiDefaultWorkflow": "<workflow name>"
}

For OpenAI-compatible (manual or curl import):

json
{
  "openaiApiKey": "<the key>",
  "openaiBaseUrl": "<base url, omit if default>",
  "openaiModel": "<model, omit if default>"
}

Create the config directory and write the file:

bash
mkdir -p ~/.config/meigen

Then use the Write tool to write the JSON config to ~/.config/meigen/config.json.

Important: If the user already has a config file with other providers configured, merge the new config into the existing one rather than overwriting. For example, a user might have both MeiGen and ComfyUI configured.

After writing, set permissions:

bash
chmod 600 ~/.config/meigen/config.json

Step 5: Completion

Tell the user:

Configuration saved! To activate the new settings, please start a new Claude Code session (close and reopen, or open a new terminal tab).

After restarting, you can:

  • Use generate_image to create AI images
  • Run list_models to see available models and workflows
  • Try: "Generate a beautiful sunset over mountains"

You can run /meigen:setup again anytime to change your configuration.

For ComfyUI users, additionally mention:

ComfyUI tips:

  • Use comfyui_workflow list to see your saved workflows
  • Use comfyui_workflow view to see adjustable parameters (steps, CFG, sampler, etc.)
  • Ask me to change any workflow parameter — e.g., "increase steps to 30" or "switch sampler to dpmpp_2m"
  • You can import more workflows anytime with comfyui_workflow import

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