Where to Find awesome-gpt-image-2 Documentation: Complete Guide

The awesome-gpt-image-2 documentation is located in the repository's root README.md and the comprehensive docs/ directory, which includes galleries, templates, and agent skill integration guides.

The awesome-gpt-image-2 repository by freestylefly ships with a complete, self-contained documentation site. All documentation lives within the repository itself, allowing you to browse it directly on GitHub or clone it for local access. This guide maps every documentation resource from quick-start overviews to detailed prompt engineering templates.

Primary Documentation Entry Points

Start with the root README.md for project orientation and quick navigation.

The README contains overview information, badge shields, the live site URL, and a "Quick Links" section (lines 66-73) that points directly to the most important resources. From there, you can navigate to the detailed documentation in the docs/ folder or explore the programmatic API via the bundled npm package.

Key entry points include:

• README.md — Project overview, quick-start links, and navigation table
• docs/ — Detailed galleries, template library, payment guides, and runbooks
• package.json — NPM package metadata and build scripts for the style library

Navigating the docs/ Directory

The docs/ folder contains the core reference materials for the project, organized by function.

Case Galleries

The gallery documentation showcases all 538 implementation cases:

• docs/gallery.md — Central gallery with category filters for all cases
• docs/gallery-part-1.md — Cases 1-165
• docs/gallery-part-2.md — Cases 166-538

These files provide visual references and implementation patterns for the GPT Image 2 generation styles.

Prompt Engineering Templates

docs/templates.md serves as the "Industrial prompt templates and pitfalls guide" — the core Prompt-as-Code library. This file contains the master template definitions marked with anchors like #tpl-infographic that allow direct linking to specific categories.

Integration Guides

Specialized documentation for specific implementations:

• docs/alipay-web-payment.md — Instructions for enabling Alipay web-payment integration
• docs/paid-community.md — Runbook for the paid community feature

Agent Skill Documentation

For AI agent integration, the repository includes a ready-to-install skill package.

The Agent Skill documentation lives at agents/skills/gpt-image-2-style-library/SKILL.md. This skill exposes the style library to Claude Code, Codex, Cursor, and other compatible agents by reading from data/style-library.json (the master data source).

Installing the Style Library Skill

Install the skill globally via npm to add CLI commands for agent integration:

# Global install adds the CLI command

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

# Install the skill into all supported local agents

gpt-image-2-style-library install all

The CLI writes skill files into agent-specific directories based on the JSON source data.

Using the Skill in Prompts

Once installed, invoke the skill directly from your agent interface:

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

The skill pulls the Infographic template from data/style-library.json and renders a ready-to-run prompt.

Programmatic Access and Build Scripts

Developers can generate and install the style skill from source using the npm scripts defined in package.json.

Generating Skills from Source

Run the generation script to create the skill from the JSON data:

# Generate the skill from data/style-library.json

npm run generate:style-skill   # → scripts/generate-style-skill.mjs

# Copy the skill to local agent folders

npm run install:skill

These commands process data/style-library.json and output to agents/skills/gpt-image-2-style-library/.

Manual Template Access

For direct template access without the CLI:

# Open templates in your editor

code docs/templates.md

# Search for specific anchors like "#tpl-infographic"

Each template entry includes navigable anchors referenced in the README's quick-link table.

Summary

• Root README.md provides the entry point with quick links to all documentation sections
• docs/gallery.md and paginated parts contain all 538 reference cases
• docs/templates.md houses the complete Prompt-as-Code template library
• agents/skills/gpt-image-2-style-library/SKILL.md documents AI agent integration
• data/style-library.json serves as the master data source for programmatic access
• package.json exposes npm scripts (generate:style-skill, install:skill) for building and deploying documentation tools

Frequently Asked Questions

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

The main entry point is the README.md file in the repository root. It contains the project overview, live site URL, and a "Quick Links" section (lines 66-73) that directs you to the gallery, templates, and agent skill documentation. From there, you can navigate to the docs/ folder for detailed reference materials.

How do I access the prompt templates in awesome-gpt-image-2?

The complete template library is located in docs/templates.md. This file contains industrial prompt templates marked with anchors like #tpl-infographic for direct navigation. You can also access these programmatically by installing the gpt-image-2-style-library npm package, which reads from data/style-library.json and exposes templates to AI agents.

Can I use the awesome-gpt-image-2 documentation with AI coding agents?

Yes. The repository includes a dedicated Agent Skill at agents/skills/gpt-image-2-style-library/SKILL.md. Install it globally via npm install -g gpt-image-2-style-library and run gpt-image-2-style-library install all to integrate with Claude Code, Cursor, Codex, and other agents. The skill consumes data/style-library.json to provide context-aware prompt generation.

What npm scripts are available for working with the documentation?

The package.json defines several key scripts: npm run generate:style-skill executes scripts/generate-style-skill.mjs to build the agent skill from data/style-library.json, and npm run install:skill copies the generated skill to your local agent directories. These allow developers to regenerate documentation tools when the underlying style data changes.

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