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awesome-gpt-image-2

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freestylefly/awesome-gpt-image-2

Prompt-as-Code engine and template library for GPT-Image2, with 470+ reverse-engineered cases, 20+ production templates and distilled agent skills.

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

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stars

2,695

forks

JavaScript

Language

MIT

License

2026-04-25

Created

2026-09-03

Last push

MIT-licensed Prompt-as-Code library: 500+ GPT-Image-2 cases, 20+ industrial templates and an installable gpt-image-2-style-library agent skill — an ecosystem resource reusable from any agent workflow; no DeepSeek Harness-specific integration documented.

DSH integration

Ecosystem-related

Author-claimed

Safety audit

Unaudited

Last verified

2026-08-21

License

MIT

01What can it help you accomplish?

  • Find structured, reusable GPT-Image-2 prompts for a target visual scenario (UI, infographic, poster, product, brand, photography, illustration and more)

    Structured prompts from 526 categorized cases across 13 categories, plus 20+ industrial prompt templates to fill with your own business variables

    Designers, content creators and prompt engineers who want stable, controllable GPT-Image-2 output instead of one-off prose prompts

  • Install an agent skill so coding agents can pick GPT-Image-2 styles, templates, categories and scene tags from a shared style library

    The gpt-image-2-style-library skill installed into local agent skill folders; usage like "Use gpt-image-2-style-library to create an infographic prompt about Codex."

    Developers running CLI coding agents — Claude Code, Codex, Cursor and other tools supported by the skills package — who want automation-friendly image prompts

02How to install into DeepSeek Harness

Prerequisites

  • Node.js with npm/npx for the documented install paths (`npx skills add`, `npm install -g gpt-image-2-style-library`)

Installation steps

  1. 01

    Quick install via the skills CLI: `npx skills add freestylefly/awesome-gpt-image-2 --skill gpt-image-2-style-library --agent claude-code codex --global --yes --copy` — or use `--global --all --copy` to install to every supported local agent

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

  2. 02

    $ npm CLI alternative: `npm install -g gpt-image-2-style-library` then `gpt-image-2-style-library install all` (or `npx gpt-image-2-style-library install all` without a global install); GitHub Packages variant: log in with scope @freestylefly and install `@freestylefly/gpt-image-2-style-library`

  3. 03

    Claude Code plugin marketplace: run `/plugin marketplace add freestylefly/awesome-gpt-image-2` then `/plugin install gpt-image-2-style-library@awesome-gpt-image-2` inside Claude Code

  4. 04

    Restart the agent session after installing

Verify the integration

Not specified by the author

03DSH integration and capability boundaries

DSH integrationEcosystem-related

Prompt-as-Code resource library and agent skill for GPT-Image-2 — ecosystem asset reusable from any agent workflow; no DeepSeek Harness-specific integration documented

  • Structured case gallery (526 cases, 13 categories)

    a visual direction or scenario (UI, infographics, posters, e-commerce, brand, architecture, photography, illustration, characters, scenes, history, documents, other)categorized prompt cases browsable in the gallery docs and the live site, with full prompts to copy — structure first, then style words

  • Industrial prompt template library

    your business variablesreusable structured prompts from 20+ industrial templates across the 13 categories (general or JSON templates)

  • Agent skill with shared style library

    a generation request in a supported agent (Claude Code, Codex, Cursor and other tools supported by the skills package)style / template / category / scene-tag selection from the same data/style-library.json that powers the website

    `install all` writes skill files into local agent folders (`~/.codex/skills`, `~/.claude/skills`, `~/.agents/skills`)the live site's generation feature is login-gated and backed by a paid GPT Image 2 API proxy — generation is not part of the repo itself

04Who is it for? When not to use it?

Good for

  • Designers, content creators and prompt engineers who want stable, controllable GPT-Image-2 output instead of one-off prose prompts
  • Developers running CLI coding agents — Claude Code, Codex, Cursor and other tools supported by the skills package — who want automation-friendly image prompts

Not for

  • Cases are collected from public community sources and the repo does not guarantee that third-party content can be used commercially — obtain authorization from the original rights holder before commercial use.

05Compatibility, maintenance and safety notes

  • Cases are collected from public community sources and the repo does not guarantee that third-party content can be used commercially — obtain authorization from the original rights holder before commercial use.
  • Installing the agent skill requires Node.js tooling (`npx`/`npm`) and writes skill files into local agent directories; no DeepSeek Harness-specific install path is documented.
  • The repository itself provides prompts and templates only; actually generating images needs separate GPT Image 2 access (the live site's login-gated generation or your own API).
  • Content cadence is irregular — the README states new workflows arrive irregularly, and there are no release tags to pin versions against.
2026-04-252026-07-22Not specified by the author

MIT · actively maintained (last push 2026-07-22)

06Frequently asked questions

How do I use this with DeepSeek Harness?

The README documents no DeepSeek Harness-specific integration — it's an ecosystem resource. Install the gpt-image-2-style-library skill via `npx skills add freestylefly/awesome-gpt-image-2 ...` or the npm CLI; the skill files land in common agent skill folders (`~/.claude/skills`, `~/.codex/skills`, `~/.agents/skills`), so any agent reading those folders can use it.

What does the repository actually provide?

526 categorized prompt cases across 13 categories, 20+ industrial prompt templates (general and JSON formats), a live gallery site at gpt-image2.canghe.ai, and the gpt-image-2-style-library agent skill.

What do I need before installing?

Only Node.js for the npx/npm install paths. The gallery and templates are plain Markdown docs you can browse without installing anything.

Can I use the cases and prompts commercially?

Not guaranteed. Cases come from public community sources, and the repo explicitly says it does not guarantee third-party content can be used commercially — obtain authorization from the original rights holder first.

Does it generate images by itself?

No. The repo provides prompts, templates and the style-library skill only. Generating images requires your own GPT Image 2 access; the live site offers login-gated test generation.

08Data and sources

  • Author-claimedgithub.comddef618666f2…

    This project turns scattered community examples into Prompt-as-Code assets that are easier for agents and automation wor…

  • Author-claimedgithub.comddef618666f2…

    ⚙️ Workflow friendly: designed for agents, scripts, and automation systems

  • Author-claimedgithub.comddef618666f2…

    This repository includes an agent skill for choosing GPT-Image2 styles, templates, categories, and scene tags from the s…

This page is generated from the project’s public documentation, repository metadata and a structured parse of DSH Plugins; last verified on 2026-08-21. Found an error? Submit a correction.

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