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Gpt Image 2 Style Library

  • 1k installs
  • 9k repo stars
  • Updated July 22, 2026
  • freestylefly/awesome-gpt-image-2

gpt-image-2-style-library is an agent skill that routes GPT-Image2 image generation through battle-tested style templates, visual constraints, and prompt structures for developers who need reproducible production-quality

About

gpt-image-2-style-library is an installable agent skill from freestylefly/awesome-gpt-image-2 that reads a shared data/style-library.json catalog of industrial GPT-Image2 prompt templates and style constraints. A Node CLI exposes install and sync commands that copy the skill into ~/.codex/skills, ~/.claude/skills, and ~/.agents/skills for Claude Code and Codex sessions. The parent repository distills 20+ industrial templates from 470+ reverse-engineered cases into Prompt-as-Code structures agents can reuse. Developers reach for gpt-image-2-style-library when generating marketing visuals, UI mock imagery, or batch image workflows that need consistent style selection instead of one-off prose prompts.

  • Installs style library for Codex, Claude Code, or all agents in one command
  • Provides ready-to-use GPT-Image2 templates, artistic styles, and prompt constraints
  • Creates production-ready image prompts that maintain consistent visual quality
  • Supports three install targets: all, codex, claude-code
  • Includes reference assets and agent-specific configuration files

Gpt Image 2 Style Library by the numbers

  • 1,020 all-time installs (skills.sh)
  • +57 installs in the week ending Aug 2, 2026 (Skillselion tracking)
  • Ranked #1,013 of 16,556 AI & Agent Building skills by installs in the Skillselion catalog
  • Security screen: LOW risk (skills.sh audit)
  • Data as of Aug 3, 2026 (Skillselion catalog sync)
npx skills add https://github.com/freestylefly/awesome-gpt-image-2 --skill gpt-image-2-style-library

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Listed on Skillselion
Installs1k
repo stars9k
Security audit3 / 3 scanners passed
Last updatedJuly 22, 2026
Repositoryfreestylefly/awesome-gpt-image-2

How do you pick GPT-Image2 style templates for agents?

Instantly access battle-tested style templates, visual constraints, and prompt structures when generating production-quality images with GPT-Image2.

Who is it for?

Developers using Claude Code or Codex who generate GPT-Image2 assets and want catalog-driven style and template selection.

Skip if: Developers building non-image backend APIs or teams not using GPT-Image2 image generation workflows.

When should I use this skill?

User requests GPT-Image2 image generation, style templates, prompt constraints, or PPT/visual asset prompts.

What you get

A production-ready GPT-Image2 prompt with selected style template, visual constraints, and scene tags from style-library.json.

  • production-ready GPT-Image2 prompt
  • selected style template and scene tags

By the numbers

  • Parent repository distills 20+ industrial templates from 470+ reverse-engineered cases
  • CLI syncs into 3 agent skill directories including ~/.codex/skills and ~/.claude/skills
  • Exposes install and sync commands via a Node-based skill installer

Files

SKILL.mdMarkdownGitHub ↗

GPT-Image2 Style Library

Use this skill to turn a user's image-generation intent into a production-ready GPT-Image2 prompt using the awesome-gpt-image-2 style library.

Example Output

!City life system map example

Example request: 用 gpt-image-2-style-library 技能生成城市生命系统图谱

Reference

  • Read references/style-library.md before choosing a template or style.
  • The reference is generated from data/style-library.json in the repository.
  • Prefer the reference over memory when template names, categories, covers, or style tags matter.

Workflow

1. Detect the user's language and answer in that language. 2. Identify the user's target output: product, poster, UI, infographic, brand, photo, illustration, character, scene, history, document, or special task. 3. Match the request in this order: template category, visual style tag, scene tag, then nearest example cases. 4. If one template is clearly strongest, use it directly. If several are plausible, present 2-3 options with short reasons and ask the user to choose. 5. Build the final prompt with these blocks:

  • subject and task
  • composition and layout
  • visual style and materials
  • text and label requirements
  • aspect ratio and output format
  • constraints and negative details

6. Include the selected template name and any useful example case IDs.

Output Defaults

  • Provide a copyable prompt first.
  • Keep constraints concrete: exact text, aspect ratio, readable labels, layout hierarchy, and avoided artifacts.
  • For Chinese requests, write the final prompt in Chinese unless the user asks for English.
  • For English requests, write the final prompt in English unless the user asks for Chinese.
  • When the user asks for multiple concepts, reuse one template and vary subject, composition, palette, and scene.

Maintenance

When the source repository changes, run:

npm run generate:style-skill

To install the skill into the local Codex skill folder, run:

npm run install:skill

Related skills

How it compares

Pick gpt-image-2-style-library over ad-hoc image prompts when you need catalog-driven GPT-Image2 style and template reuse.

FAQ

How do you install gpt-image-2-style-library?

gpt-image-2-style-library installs via npx skills add freestylefly/awesome-gpt-image-2 --skill gpt-image-2-style-library or gpt-image-2-style-library install all, syncing into ~/.codex/skills, ~/.claude/skills, and ~/.agents/skills.

Where does gpt-image-2-style-library get its templates?

gpt-image-2-style-library reads data/style-library.json generated from the awesome-gpt-image-2 repository, which shares one style catalog across the website and agent workflow.

Is Gpt Image 2 Style Library safe to install?

skills.sh reports 3 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.

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