Awesome GPT-Image-2 Package Adds Agent Skills to Claude Code and Cursor
Awesome-gpt-image-2 introduces a structured Prompt-as-Code library containing over 530 reverse-engineered prompt cases. It includes native CLI Agent Skills compatible with Claude Code, Cursor, and Codex for automated visual generation.
Impact: Medium
Why it matters
Engineers can install structured image generation skills directly into agentic IDE workflows using a single CLI command.
TL;DR
- 01Convert prose image prompts into modular, schema-driven templates
- 02Install agent skills directly into Claude Code and Codex local config folders
- 03Automate UI asset generation inside developer IDE workflows
Key facts
- Prompt Cases
- 544
- Supported Agents
- Claude Code, Cursor, Codex
Structured Prompt-as-Code Architecture
The repository organizes over 544 reverse-engineered cases into composable schema layers. Prompts are treated as modular code blocks that define subjects, spatial layout, typography, lighting, and materials rather than arbitrary text descriptions.
Cross-Agent CLI Skills Integration
Developers can deploy the project's style library skill directly into agent contexts using npx skills add freestylefly/awesome-gpt-image-2 --skill gpt-image-2-style-library --agent claude-code codex --global --yes --copy. The installer writes skills directly to standard directories including ~/.claude/skills and ~/.codex/skills.
Try it in 2 minutes
npx skills add freestylefly/awesome-gpt-image-2 --skill gpt-image-2-style-library --agent claude-code codex --global --yes --copybash
✓ When to use
- When building automated workflows that need predictable visual asset prompts
- When prompting visual assets through Claude Code or Cursor agents
✕ When NOT to use
- When creating simple, one-off conversational image queries without agents
- When strict adherence to non-visual LLM code generation is required
What to do today
- Run the npx skill installation command to link the style library to local agents
- Restart Claude Code or Cursor sessions to pick up the new skill directory
Sources