How to Access the Agent Skills for Style Library in awesome-gpt-image-2

The gpt-image-2-style-library agent skill can be installed via the npx skills CLI and provides structured access to templates, styles, and scene tags through a JSON index and generated reference documentation.

The awesome-gpt-image-2 repository exposes its visual style definitions as a reusable agent skill. This allows AI coding assistants like Claude Code or Codex to query structured image generation parameters. The skill lives in the agents/skills/gpt-image-2-style-library/ directory and wraps the raw data found in data/style-library.json.

Installing the gpt-image-2-style-library Agent Skill

To access the agent skills for style library functionality, you must first register the skill with your local agent environment.

Using npx skills to Install

Run the following command to install the skill globally for both Claude Code and Codex agents:

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

This command is referenced in the repository's UI logic at src/main.jsx (lines 2800–2802), which documents the standard installation pattern for consuming this skill.

Understanding the Style Library Structure

Once installed, the skill exposes three key resources:

• data/style-library.json — The master JSON file containing arrays of templates, categories, styles, and scene tags.
• agents/skills/gpt-image-2-style-library/references/style-library.md — Generated markdown documentation derived from the JSON index.
• agents/skills/gpt-image-2-style-library/SKILL.md — Human-readable documentation defining the skill's capabilities and queryable fields.

The skill also includes a bootstrap script at agents/skills/gpt-image-2-style-library/bin/install.mjs that validates the JSON structure and regenerates the reference documentation when the underlying data changes.

Accessing Style Library Data Programmatically

Applications consuming this skill typically fetch the JSON index at runtime to populate UI components or generate prompts.

Loading the JSON Index

In a React application (as implemented in src/main.jsx lines 3623–3625), fetch the library like this:

fetch('/style-library.json')
  .then(response => response.json())
  .then(styleLibrary => {
    // styleLibrary contains:
    //   - templates[]: id, title, category, cover, anchor
    //   - categories[]: value, cover, templateAnchor
    //   - styles[]: value definitions
    //   - scenes[]: value definitions
    console.log(`Loaded ${styleLibrary.templates.length} templates`);
  });

Generating Prompts with formatTemplatePrompt

To convert a selected template into a full GPT-Image-2 prompt, use the formatTemplatePrompt utility defined in src/main.jsx (lines 1049–1059):

import { formatTemplatePrompt } from './main.jsx';

function createImagePrompt(templateId, language = 'en') {
  const styleLibrary = /* fetched JSON data */;
  const template = styleLibrary.templates.find(t => t.id === templateId);
  
  return formatTemplatePrompt(template, language, styleLibrary);
}

This function assembles the final prompt string using the template's base definition combined with selected style tags, scene tags, and any additional constraints stored in the library.

Managing the Skill Locally

When modifying data/style-library.json, regenerate the reference documentation to keep the skill's markdown documentation in sync:

node agents/skills/gpt-image-2-style-library/bin/install.mjs

This script reads the updated JSON, validates entry integrity, and writes the structured reference guide to agents/skills/gpt-image-2-style-library/references/style-library.md.

Summary

• The gpt-image-2-style-library skill is located at agents/skills/gpt-image-2-style-library/ in the awesome-gpt-image-2 repository.
• Install the skill using npx skills add freestylefly/awesome-gpt-image-2 --skill gpt-image-2-style-library.
• Access template data via data/style-library.json, which contains all categories, styles, scenes, and template definitions.
• Use the formatTemplatePrompt function (found in src/main.jsx) to construct valid GPT-Image-2 prompts from selected templates.
• Regenerate reference docs by running bin/install.mjs whenever the source JSON changes.

Frequently Asked Questions

What is the gpt-image-2-style-library agent skill?

The gpt-image-2-style-library is an agent skill package that exposes the awesome-gpt-image-2 style definitions to AI coding assistants like Claude Code or Codex. It provides structured access to image generation templates, aesthetic styles, and scene classifications through a well-defined JSON schema and accompanying documentation files.

Where is the style library data stored?

The canonical data lives in data/style-library.json at the repository root. The skill package consumes this file and generates agents/skills/gpt-image-2-style-library/references/style-library.md as a human-readable reference. Runtime applications typically fetch the JSON directly from the /style-library.json endpoint or import it as a static asset.

How do I regenerate the style library reference documentation?

Run the Node.js script at agents/skills/gpt-image-2-style-library/bin/install.mjs. This utility validates the schema of data/style-library.json and regenerates the markdown reference files. Execute it from the repository root with: node agents/skills/gpt-image-2-style-library/bin/install.mjs.

Can I use the style library without installing the agent skill?

Yes. The raw JSON data at data/style-library.json is freely accessible and can be fetched or imported directly into any application. However, installing the agent skill provides additional tooling such as the formatTemplatePrompt helper, structured reference documentation, and standardized query interfaces for AI assistants.

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