# How to Integrate GPT-Image2 Style Library with AI Coding Agents: Complete Setup Guide

> Integrate GPT-Image2 style library with AI coding agents. Install the npm package and use the skills framework for automatic template matching and prompt generation. Get started today.

- Repository: [苍何/awesome-gpt-image-2](https://github.com/freestylefly/awesome-gpt-image-2)
- Tags: how-to-guide
- Published: 2026-09-06

---

**AI coding agents can integrate GPT-Image2 style library by installing the npm package and invoking the skill through the `skills` framework, enabling automatic template matching and prompt generation for GPT-Image2 image workflows.**

The **GPT-Image2 style library** is a specialized agent skill that provides structured visual styles, prompt templates, and scene tags for the GPT-Image2 image-generation model. According to the `freestylefly/awesome-gpt-image-2` repository, this integration allows Claude Code, Codex, Cursor, and other AI agents to automatically select optimal templates and produce production-ready prompts without manual curation.

## Installation Methods for AI Coding Agents

You have two primary paths to integrate this library with your agent workflow: global npm installation or the native `skills` helper (recommended for most agents).

### Method 1: Global npm Installation

Install the package globally and populate local agent skill directories using the CLI installer at `bin/install.mjs`:

```bash
npm install -g gpt-image-2-style-library

# Copy skill files to ~/.claude/skills, ~/.codex/skills, ~/.agents/skills

gpt-image-2-style-library install all

```

The `bin/install.mjs` script handles cross-agent discovery by copying files into standard skill locations. After installation, agents automatically detect the skill by name.

### Method 2: Skills Helper (Recommended)

For Claude Code, Codex, and Cursor, use the `skills` CLI for streamlined integration:

```bash
npx skills add freestylefly/awesome-gpt-image-2 \
  --skill gpt-image-2-style-library \
  --agent claude-code codex \
  --global --yes --copy

```

This approach leverages [`package.json`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/package.json) metadata and avoids manual path configuration.

## Core Architecture Components

Understanding the file structure helps you customize and debug GPT-Image2 style library integration.

### Skill Manifest ([`SKILL.md`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/SKILL.md))

The [`agents/skills/gpt-image-2-style-library/SKILL.md`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/agents/skills/gpt-image-2-style-library/SKILL.md) file defines the agent workflow:

1. **Language detection** — Respond in the user's detected language
2. **Target output identification** — Classify requests (product, poster, UI, infographic)
3. **Template matching** — Rank candidates by category → visual style tag → scene tag → example cases
4. **Prompt construction** — Assemble final output using structured blocks
5. **Copy-ready delivery** — Return executable prompt with optional explanations

### Data Store ([`style-library.json`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/style-library.json))

The [`data/style-library.json`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/data/style-library.json) catalog contains:

- **Categories**: UI, Infographic, Poster, Chart, Document
- **Styles**: 3D, Brand, Illustration, Photorealistic, Minimal
- **Scenes**: Tech, Commerce, History, Nature, Urban
- **Templates**: Anchors, covers, guidance text, common pitfalls, reference case IDs

Agents read this file at runtime to perform matching without external network calls.

### Package Definition ([`package.json`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/package.json))

```json
{
  "name": "gpt-image-2-style-library",
  "version": "1.0.0",
  "bin": {
    "gpt-image-2-style-library": "bin/install.mjs"
  },
  "files": [
    "SKILL.md",
    "bin/",
    "data/",
    "references/",
    "assets/"
  ]
}

```

The [`package.json`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/package.json) entry point (`bin/install.mjs`) enables both global CLI usage and `npx` execution.

## Runtime Integration Example

Below is a complete agent plugin configuration and invocation pattern:

### Skill Plugin Definition

```json
{
  "name": "gpt-image-2-style-library",
  "description": "Select a GPT-Image2 template and generate a prompt",
  "type": "skill",
  "entrypoint": "gpt-image-2-style-library"
}

```

### User Invocation

```

/use gpt-image-2-style-library to create an infographic about renewable energy

```

### Agent Runtime (Simplified)

```javascript
// Agent loads skill by name from ~/.claude/skills/
const skill = await loadSkill('gpt-image-2-style-library');

// Execute with natural language request
const result = await skill.run({
  request: 'create an infographic about renewable energy'
});

// Output: structured prompt ready for GPT-Image2 API
console.log(result.prompt);

```

The skill returns prompt blocks for **subject**, **composition**, **visual style**, **text/labels**, **aspect ratio**, and **constraints** — all sourced from [`style-library.json`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/style-library.json).

## Direct Catalog Access for Custom Agent Logic

For agents requiring programmatic template selection, query [`style-library.json`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/style-library.json) directly:

```javascript
import { readFile } from 'fs/promises';

const lib = JSON.parse(
  await readFile('data/style-library.json', 'utf-8')
);

// Find templates matching specific criteria
const infographicTemplates = lib.templates.filter(t =>
  t.styles.includes('Infographic') &&
  t.scenes.includes('Tech')
);

// Access template metadata
console.log(infographicTemplates.map(t => ({
  title: t.title.en,
  anchor: t.anchor,
  guidance: t.guidance
}));

```

This pattern enables custom ranking algorithms or UI presentations beyond the default skill behavior.

## Reference Documentation for Transparency

The [`agents/skills/gpt-image-2-style-library/references/style-library.md`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/agents/skills/gpt-image-2-style-library/references/style-library.md) file provides human-readable documentation generated from the JSON catalog. Agents should surface this reference when:

- Users request explanation of selected templates
- Debugging template matching decisions
- Providing style previews (paired with files in `assets/`)

Example asset: `assets/city-life-system-map.png` illustrates system diagram styling options.

## Key Integration File Paths

| File | Purpose | Path |
|------|---------|------|
| Skill manifest | Workflow definition | [`agents/skills/gpt-image-2-style-library/SKILL.md`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/agents/skills/gpt-image-2-style-library/SKILL.md) |
| Package metadata | npm/registry integration | [`agents/skills/gpt-image-2-style-library/package.json`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/agents/skills/gpt-image-2-style-library/package.json) |
| CLI installer | Cross-agent setup | `agents/skills/gpt-image-2-style-library/bin/install.mjs` |
| Master catalog | Template/style/scene data | [`data/style-library.json`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/data/style-library.json) |
| Human reference | Generated documentation | [`agents/skills/gpt-image-2-style-library/references/style-library.md`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/agents/skills/gpt-image-2-style-library/references/style-library.md) |
| Visual assets | Example outputs | `agents/skills/gpt-image-2-style-library/assets/` |

## Summary

- **GPT-Image2 style library integration** requires installing the npm package `gpt-image-2-style-library` and registering it via `npx skills add` or the global CLI installer.
- **No network dependencies** at runtime—the skill operates entirely on local JSON data from [`style-library.json`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/style-library.json).
- **Template matching** follows a ranked hierarchy: category → visual style → scene tag → example cases, as defined in [`SKILL.md`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/SKILL.md).
- **Cross-agent compatibility** is built into `bin/install.mjs`, which populates `~/.claude/skills`, `~/.codex/skills`, and `~/.agents/skills` directories.
- **Production prompts** are assembled from structured blocks and delivered copy-ready for GPT-Image2 API consumption.

## Frequently Asked Questions

### What AI coding agents are compatible with GPT-Image2 style library?

Claude Code, Codex, Cursor, and any agent implementing the `skills` framework can integrate this library. The `bin/install.mjs` script specifically targets `~/.claude/skills`, `~/.codex/skills`, and `~/.agents/skills` directories for automatic discovery.

### Does the skill require internet access after installation?

No. The skill reads exclusively from local files—primarily [`data/style-library.json`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/data/style-library.json)—making it safe for sandboxed environments. No external API calls occur during template matching or prompt generation.

### How can I customize templates for my organization's brand?

Modify [`data/style-library.json`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/data/style-library.json) to add custom styles, scenes, or templates, then reinstall the skill. The JSON schema supports organization-specific anchors, guidance text, and example cases. Regenerate [`references/style-library.md`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/references/style-library.md) to keep documentation synchronized.

### What is the difference between `npx skills add` and `npm install -g`?

`npx skills add` uses the native agent CLI (when available) for cleaner versioning and dependency management. `npm install -g` followed by `gpt-image-2-style-library install all` works universally but requires manual reinstallation for updates.