# How to Install the GPT-Image2 Style Library Agent Skill: Complete Setup Guide

> Install the GPT-Image2 style library agent skill with our easy setup guide. Learn how to build, deploy, and auto-register the skill for your project. Get started now!

- Repository: [苍何/awesome-gpt-image-2](https://github.com/freestylefly/awesome-gpt-image-2)
- Tags: how-to-guide
- Published: 2026-09-09

---

**Run `node scripts/install-style-skill.mjs` after installing dependencies to build the Vite-based ESM bundle, deploy it to `public/skills/`, and auto-register the skill in [`src/main.jsx`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/src/main.jsx).**

The **GPT-Image2 style library agent skill** is a modular extension for the `freestylefly/awesome-gpt-image-2` repository that injects curated image generation styles into the core application. According to the source code, this skill is packaged as a standalone ESM bundle built by Vite and loaded dynamically at runtime. Installation requires executing a Node.js helper script that compiles the assets and patches the application entry point to import the style definitions from [`data/style-library.json`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/data/style-library.json).

## Architecture Overview

Understanding the component structure ensures you can troubleshoot or customize the integration:

| Component | Location | Purpose |
|-----------|----------|---------|
| **CLI Installer** | `scripts/install-style-skill.mjs` | Orchestrates the build, file copy, and registration steps |
| **Style Manifest** | [`data/style-library.json`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/data/style-library.json) | JSON catalog containing style IDs, prompt templates, and preview metadata |
| **Vite Configuration** | [`vite.config.js`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/vite.config.js) | Declares the **ESM** build target for the skill bundle ([`style-library.js`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/style-library.js)) |
| **API Client** | [`src/apimartClient.js`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/src/apimartClient.js) | Accepts the `styleId` parameter to route requests to the backend generation service |
| **Example UI** | [`src/image25/App.jsx`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/src/image25/App.jsx) | Demonstrates rendering style options in the gallery interface |

When active, the skill exports a default registration function that the main application calls to inject new style options into the UI state.

## Step-by-Step Installation

Follow these commands to activate the GPT-Image2 style library agent skill in your local environment.

### 1. Clone and Prepare the Repository

```bash
git clone https://github.com/freestylefly/awesome-gpt-image-2.git
cd awesome-gpt-image-2

```

### 2. Install Node.js Dependencies

Use the lockfile to ensure reproducible builds of the Vite toolchain:

```bash
npm ci

```

### 3. Execute the Installation Script

The installer handles compilation and registration automatically:

```bash
node scripts/install-style-skill.mjs

```

**What the script does internally:**
- Executes `vite build --mode style` using the configuration in [`vite.config.js`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/vite.config.js)
- Moves the generated [`style-library.js`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/style-library.js) bundle to [`public/skills/style-library.js`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/public/skills/style-library.js)
- Patches [`src/main.jsx`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/src/main.jsx) to include the dynamic skill import

### 4. Start the Development Server

Verify the integration with hot-reloading enabled:

```bash
npm run dev

```

Open `http://localhost:5173` and confirm that the style selector populates with entries defined in [`data/style-library.json`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/data/style-library.json).

## Generating a Standalone Skill Bundle

For deployments where you cannot run the installation script on the host, generate a distributable module:

```bash
node scripts/generate-style-skill.mjs

```

This outputs a self-contained [`style-library.js`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/style-library.js) file that any GPT-Image2 instance can load via a standard module script tag:

```html
<script type="module" src="/path/to/style-library.js"></script>

```

The bundle follows the same registration contract as the CLI-installed version, exporting a default function that accepts the core application instance.

## Code Implementation Examples

### Dynamically Loading the Skill at Runtime

If you need manual control over skill initialization, import the module directly and invoke the registry:

```javascript
import { registerSkill } from './utils/skillRegistry.js';
import styleSkill from '/public/skills/style-library.js';

// The skill exports a default function that receives the app instance
registerSkill(styleSkill);

```

### Applying a Style to an API Request

The [`src/apimartClient.js`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/src/apimartClient.js) client accepts a `styleId` field to apply library templates to generation requests:

```javascript
import { generateImage } from './apimartClient.js';
import styles from '../data/style-library.json';

async function createStyledImage(basePrompt) {
  const style = styles.find(s => s.id === 'retro-vaporwave');
  const payload = {
    prompt: basePrompt,
    styleId: style.id,          // Injected by the skill
    ...style.defaultParams,
  };
  return await generateImage(payload);
}

```

## Summary

- The **GPT-Image2 style library agent skill** is installed via `scripts/install-style-skill.mjs`, which builds an ESM bundle and registers it in [`src/main.jsx`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/src/main.jsx).
- Style definitions reside in [`data/style-library.json`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/data/style-library.json) and are exposed to the UI through the skill's registration function.
- The [`src/apimartClient.js`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/src/apimartClient.js) module extends generation requests with a `styleId` parameter to utilize the library.
- For portable deployments, use `scripts/generate-style-skill.mjs` to create a standalone bundle loadable via `<script type="module">`.

## Frequently Asked Questions

### What file does the installation script modify in my project?

The installer appends an import statement to [`src/main.jsx`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/src/main.jsx) to ensure the skill loads when the application initializes. It also copies the compiled [`style-library.js`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/style-library.js) into `public/skills/` so the web server can serve it as a static asset.

### Can I use the style library without running the install script?

Yes. Run `node scripts/generate-style-skill.mjs` to produce a standalone [`style-library.js`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/style-library.js) bundle. You can then load this file in any GPT-Image2 deployment using a dynamic `import()` statement or a `<script type="module">` tag, bypassing the need to modify [`src/main.jsx`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/src/main.jsx).

### Where are the actual style definitions stored?

All style metadata—including IDs, prompt templates, and preview images—is stored in [`data/style-library.json`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/data/style-library.json). The skill reads this file at runtime to populate the UI, and [`src/apimartClient.js`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/src/apimartClient.js) references these IDs when constructing backend requests.

### How does the skill communicate with the image generation backend?

The skill itself does not communicate directly with the backend. Instead, it enriches the application state with style options. When a user selects a style, the [`src/apimartClient.js`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/src/apimartClient.js) method includes the selected `styleId` in the request payload, allowing the backend service to apply the corresponding prompt template and parameters.