gpt_image_2_skill
Reduces iteration time for visual asset generation by providing battle-tested prompts across 12+ image categories.
GPT Image 2 skill for Claude Code / Codex / OpenCode. Curated prompt templates and text-to-image templates across 12+ categories (Chinese typography, research figures, games, photography, posters, …).
- Generate Chinese typography samples for international product demos
- Create research figure templates for technical documentation
- Produce game asset concept sketches from text descriptions
Reduces iteration time for visual asset generation by providing battle-tested prompts across 12+ image categories. Cuts back-and-forth with design or external tools when rapid mockups or marketing collateral are needed.
Developers and product teams who need to generate reference images, UI mockups, or category-specific visuals without leaving their code environment.
https://github.com/wuyoscar/gpt_image_2_skill
By wuyoscar
How to Get It
claude plugins install wuyoscar/gpt_image_2_skill
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me generate Chinese typography samples for international product demos
Trust Signals Auto-scanned
Community Pulse Active
Discussed on Hacker News, Reddit
- Slechte Paint skills van GPT image 2 — Reddit · 150 pts
- I made a small GPT Image 2 prompt gallery with the generated outputs — Reddit · 5 pts
- I saw the Live stream for ChatGPT Image 2.0 and I decided "you know what GPT wou — Reddit · 5 pts
3 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 3,952 GitHub stars; 1 contributors; last commit 5d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
- Single maintainer. Consider the risk if this person stops maintaining the project.
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Evaluation
Scored from trust signals (evidence-eval-v1): 3,952 GitHub stars; 1 contributors; last commit 5d ago; license MIT.