How to Integrate the GPT-Image2 Style Library Skill with AI Coding Tools

You can integrate the GPT-Image2 style library skill into AI coding tools by installing the npm package gpt-image-2-style-library and running the install all command, which deploys the skill to Claude Code, Codex, and Cursor skill directories, enabling agents to generate production-ready GPT-Image2 prompts from natural language requests.

The GPT-Image2 style library skill is an agent-ready package shipped in the freestylefly/awesome-gpt-image-2 repository. It allows AI coding assistants to translate natural language descriptions into structured image generation prompts using a curated template system defined in data/style-library.json. By integrating this skill, developers can leverage the complete style catalog directly within their preferred AI coding environment.

Architecture of the GPT-Image2 Style Library Skill

The skill follows a modular architecture that separates data, definition, and deployment logic across specific files in the repository.

Core Components

SKILL.md – Located at agents/skills/gpt-image-2-style-library/SKILL.md, this file declares the skill name, description, workflow, and output defaults. It instructs agents how to transform user requests into concrete GPT-Image2 prompts.

style-library.json – The single source of truth at data/style-library.json holds the complete catalog of categories, styles, scenes, tags, and template metadata. The skill reads this file at runtime, ensuring the website and agent skill remain perfectly synchronized.

package.json – Publishes the skill on npm under the name gpt-image-2-style-library. It includes a CLI that installs the skill into global agent skill folders.

install.mjs – Found at agents/skills/gpt-image-2-style-library/bin/install.mjs, this script copies skill files into local directories used by Claude Code, Codex, and Cursor.

generate:style-skill – A regeneration script that recreates the skill files when the JSON data changes, located in the repository's scripts directory.

Installation Methods for AI Coding Environments

The skill supports multiple installation strategies depending on your workflow preferences.

Global npm Installation

For persistent access across projects, install the package globally:

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

This makes the gpt-image-2-style-library command available system-wide.

One-off npx Execution

For temporary or CI/CD environments, use npx without installation:

npx gpt-image-2-style-library install all

The install all command automatically detects and copies the skill into the default skill directories for Claude Code (~/.codex/skills), Claude (~/.claude/skills), and Cursor (~/.agents/skills).

Verification Steps

Confirm successful installation by inspecting the skill definition:

cat ~/.claude/skills/gpt-image-2-style-library/SKILL.md

This should display the same workflow content defined in the source repository.

Using the Skill in Popular AI Coding Tools

Once installed, the skill integrates seamlessly with agents that support the skills ecosystem.

Claude Code Integration

In Claude Code, activate the skill using the slash command:

/skill add gpt-image-2-style-library

Then invoke it naturally:

Use gpt-image-2-style-library to create an infographic prompt about renewable energy.

The agent will execute the skill workflow: detecting language, classifying the output type, performing a best-match lookup in style-library.json, and constructing the final prompt using subject, composition, style, and constraint blocks.

Cursor IDE Setup

In Cursor, access the skill through the built-in skill manager:

Ctrl+Shift+P → "Add Skill" → select "gpt-image-2-style-library"

Then prompt the agent:

Use gpt-image-2-style-library to generate a product-commerce visual for a smartwatch.

OpenAI Codex CLI

For Codex users, invoke the skill directly via CLI:

codex run "Use gpt-image-2-style-library to design a UI screenshot system for a finance dashboard."

The response includes the generated GPT-Image2 prompt and relevant case IDs from the library for further refinement.

Programmatic Access and Automation

You can integrate the skill into custom tooling by invoking the CLI from Node.js applications.

Node.js Scripting

Import the skill using child process execution:

import { execSync } from 'child_process';

// Execute the skill and capture structured output
const result = execSync(
  'gpt-image-2-style-library run "Create a poster for a new coffee brand"',
  { encoding: 'utf8' }
);

console.log('Generated GPT-Image2 prompt:\n', result);

The command internally loads data/style-library.json, performs the template lookup, and streams the final prompt to stdout, making it suitable for VS Code extensions or automated build pipelines.

Maintaining and Updating the Skill

Because the skill reads style-library.json at runtime, updates to the repository data are instantly available without code changes, provided you regenerate the skill distribution.

Regenerating from Source

After pulling the latest repository changes, rebuild the skill files:

npm run generate:style-skill

This script processes the updated JSON catalog and refreshes the skill metadata.

Updating Skill Definitions

Re-deploy the regenerated skill to agent directories:

npm run install:skill

This ensures Claude Code, Cursor, and Codex environments always reference the current template library and style definitions.

Summary

• Install globally via npm install -g gpt-image-2-style-library or use npx gpt-image-2-style-library install all for one-time setup
• Verify deployment by checking ~/.claude/skills/gpt-image-2-style-library/SKILL.md or equivalent paths
• Invoke naturally in Claude Code, Cursor, or Codex CLI using natural language requests with the skill name
• Maintain synchronization by running generate:style-skill and install:skill after repository updates
• Access programmatically through Node.js child process calls to the CLI for custom tool integration

Frequently Asked Questions

What file does the GPT-Image2 style library skill read at runtime?

The skill reads data/style-library.json at runtime according to the implementation in agents/skills/gpt-image-2-style-library/SKILL.md. This JSON file serves as the master catalog containing all categories, styles, scenes, tags, and template metadata, ensuring that any updates to the repository data are immediately available to all connected agents without requiring code redeployment.

Which AI coding tools support the GPT-Image2 style library skill?

The skill supports any AI coding environment that implements the skills ecosystem, specifically Claude Code, Cursor, and OpenAI Codex. The install.mjs script automatically detects and deploys to the respective skill directories: ~/.claude/skills for Claude Code, ~/.codex/skills for Codex, and ~/.agents/skills for Cursor.

How do I update the skill when the style library changes?

Run the regeneration script npm run generate:style-skill to rebuild the skill files from the updated data/style-library.json source, then execute npm run install:skill to copy the refreshed definitions into your agent skill directories. This two-step process ensures your AI coding tools always reference the latest templates, cases, and style definitions from the repository.

Can I use the skill outside of Claude Code, Cursor, and Codex?

Yes, the skill can be integrated into any tooling that can execute Node.js CLI commands. Import the package in Node.js scripts using child_process.execSync, or call gpt-image-2-style-library run "your prompt" from any shell environment. The skill outputs raw text prompts to stdout, making it compatible with custom VS Code extensions, automated build systems, or other AI agent frameworks.

{
  "mcpServers": {
    "instagit": {
      "command": "npx",
      "args": ["-y", "instagit@latest"]
    }
  }
}