Where to Find Awesome-GPT-Image-2 Documentation: Complete Guide to Repository Files

All awesome-gpt-image-2 documentation is self-hosted in the repository's markdown files, with README.md serving as the central navigation hub linking to galleries, templates, and agent skill guides.

The awesome-gpt-image-2 repository is a comprehensive collection of GPT-Image-2 prompts, case studies, and industrial-grade templates. Unlike external documentation sites, this project maintains all instructional content directly within the codebase, making the GitHub interface the primary documentation browser. Every markdown file is cross-referenced from the main README, ensuring you can navigate the entire knowledge base without leaving the repository.

Main Documentation Entry Point

The README.md file at the repository root serves as the canonical starting point for all awesome-gpt-image-2 documentation. This file contains the high-level project overview, links to the live demo site, sponsor information, and a structured table of contents that branches to every specialized guide. According to the repository structure, opening README.md provides immediate access to installation commands and navigation shortcuts to deeper sections.

When you view README.md, you will find direct links to the case gallery, template library, and agent skill documentation, eliminating the need to browse the file tree manually.

Core Documentation Sections

Case Gallery (docs/gallery.md)

The complete visual reference lives in docs/gallery.md, which catalogs over 544 GPT-Image-2 generation examples. Due to file size considerations, the gallery splits into two parts:

• docs/gallery-part-1.md – Contains cases 1 through 165
• docs/gallery-part-2.md – Contains cases 166 through 544

These files provide the full case gallery with visual examples and generation parameters. Navigate to these markdown files directly to browse the categorized prompts and resulting images.

Prompt Templates and Pitfall Guides (docs/templates.md)

For production-ready implementations, docs/templates.md houses 21 industrial-grade prompt template groups. This documentation includes structured JSON schemas for consistent image generation, common pitfalls to avoid, and platform-specific formatting guidelines.

The templates use strict JSON structures to ensure reproducible results across different GPT-Image-2 sessions:

{
  "type": "UI Screenshot",
  "platform": "iOS",
  "product": "Fitness App",
  "layout": "Card-based feed with bottom tab bar",
  "style": {
    "theme": "Dark Mode",
    "primary_color": "Neon Green",
    "typography": "Clean sans-serif"
  },
  "content": {
    "header": "Today's Activity",
    "cards": [
      {"title": "Running", "data": "5.2 km", "button": "Start"},
      {"title": "Calories", "data": "340 kcal"}
    ]
  },
  "constraints": "High fidelity, readable text, 9:16 aspect ratio"
}

Agent Skill Documentation

The specialized agent skill for style library management is documented in agents/skills/gpt-image-2-style-library/SKILL.md. This file contains installation instructions and usage guidelines for integrating the GPT-Image-2 style library into agent workflows.

To install the skill globally as referenced in the documentation:

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

Utility Scripts and Configuration

Local Development Server

The repository includes scripts/vite-local-api.mjs, a helper script that runs a local Vite server configured to proxy API calls. This utility supports local testing of the documentation examples without deploying to production.

Execute the local server using:

node scripts/vite-local-api.mjs

Project Metadata

The package.json file at the root contains project dependencies, npm scripts, and version metadata essential for developers contributing to the documentation or extending the functionality.

Summary

• Primary navigation occurs through README.md, which links to all sub-documentation
• Visual examples reside in docs/gallery.md (split into part 1 and part 2 for performance)
• Structured prompts are defined in docs/templates.md with 21 template groups and JSON schemas
• Agent integration is documented in agents/skills/gpt-image-2-style-library/SKILL.md
• Local testing is supported via scripts/vite-local-api.mjs

Frequently Asked Questions

Where is the main documentation file for awesome-gpt-image-2?

The main documentation entry point is README.md in the repository root. This file provides the project overview, live site links, and a table of contents that branches to all specialized documentation including galleries, templates, and agent skills.

What documentation is available for the GPT-Image-2 style library skill?

Installation and usage instructions for the style library skill are located in agents/skills/gpt-image-2-style-library/SKILL.md. This file details how to install the package globally via npm and configure the skill for agent-based workflows.

How do I access the prompt templates and examples?

All industrial-grade prompt templates are documented in docs/templates.md. This file contains 21 template groups with JSON-formatted prompts, specific constraints, and common pitfall warnings for production GPT-Image-2 usage.

Are there any local development scripts documented in the repository?

Yes, the repository includes scripts/vite-local-api.mjs, which provides a local Vite server configuration for testing API calls. The README references this script for developers who need to test documentation examples or gallery interactions locally.

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