GPT-Image-2 Style Library - Setup Guide¶

Source: freestylefly/awesome-gpt-image-2 GitHub: freestylefly/awesome-gpt-image-2 (14,716⭐, MIT, active through Aug 24, 2026) Skills: 1 skill (gpt-image-2-style-library), 1.5K installs Category: Creative / Image Generation First Seen: August 24, 2026 sweep (skills.sh first-listed May 8, 2026) Quality Tier: 🟢 Production - 14.7K-star MIT repo, clean Gen Agent Trust Hub / Socket / Snyk audits (all Pass)

The gpt-image-2-style-library skill wraps the awesome-gpt-image-2 knowledge base ("Prompt as Code" - a 530+ case reverse-engineered library with 20+ industrial prompt templates) as a loadable agent skill. An agent that needs to generate or edit images picks a named visual style and an industrial template instead of improvising a prompt from scratch - the difference between "make it look nice" and a reproducible, style-pinned image.

This is a direct match for the Hermes image_generate tool, whose active backend is gpt-image-2 (OpenAI gpt-image-2-medium): the library's styles and templates are written against exactly that model family.

Installation¶

The maintained-checkout pattern (recommended - keeps the skill updateable with git pull):

git clone https://github.com/freestylefly/awesome-gpt-image-2.git

# ~/.hermes/config.yaml
skills:
  external_dirs:
    - /absolute/path/to/awesome-gpt-image-2

Or via the skills.sh marketplace:

npx skills add freestylefly/awesome-gpt-image-2

Prerequisites¶

Requirement	Details
GPT-Image-2 access	The skill is a style/prompt library, not an API client - pair it with any gpt-image-2-capable backend (Hermes image_generate, OpenAI API, or a Claude Code image tool)
A target use case	Styles are selected by task: product shots, thumbnails, avatars, marketing banners, UI mockups

Core Skill¶

Skill	Installs	Use For
gpt-image-2-style-library	1.5K	Choose GPT-Image-2 visual styles and industrial prompt templates from the awesome-gpt-image-2 library - 530+ reverse-engineered cases, 20+ industrial templates; use when an agent needs to create, edit, or restyle images with a reproducible look

Security Audit Status (skills.sh, verified Aug 24, 2026)¶

Skill	Gen Agent Trust Hub	Socket	Snyk
gpt-image-2-style-library	Pass	Pass	Pass

CorpusIQ Use Cases¶

Use Case	How
Brand-consistent image generation	Pin a named style for CorpusIQ social and report imagery instead of per-prompt improvisation - reproducible look across all agent-generated images
Prompt quality floor	The 530+ case library is a reference corpus for auditing our own image prompts: what industrial templates do for composition, lighting, and text rendering
Hermes image_generate pairing	The active Hermes image backend is gpt-image-2-medium - this library's styles and templates are written against that model family, so results translate one-to-one

Integration with CorpusIQ¶

CorpusIQ is the connector layer that lets AI assistants read the systems a business already runs on - accounting, payments, CRM, email, files and analytics - and answer with the source named. It is read-only by design: it retrieves data and never writes to, or acts in, a connected system, which is what makes it safe to point at live accounts.

This page is part of the CorpusIQ directory, the reference we maintain for the MCP server and agent-skill ecosystem. Run alongside CorpusIQ, a third-party server like this one can be combined with a company's own business data in a single answer.

See what CorpusIQ connects

Limitations / Verification¶

The skill is a knowledge library - it does not generate images itself; a gpt-image-2-capable backend is required.
Repo description is Chinese-first ("Prompt as Code - GPT-Image2 industrial prompt engine"); the skill body and template names are usable directly, but expect mixed-language reference material.
Install counts are modest (1.5K) relative to the repo's 14.7K stars - the skill is a thin wrapper over the starred knowledge base, which is the real asset.

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