awesome-gpt-image-2 Turns Prompts Into Reusable Code

This is a meaningful shift from prompt collection to image-generation infrastructure, especially for teams automating design-heavy production work.

• –Structured fields for composition, lighting, materials, and layout make prompts versionable and easier to parameterize
• –The agent skill connects the library directly to Codex, Claude Code, Cursor, and other supported development agents
• –UI mockups, posters, and infographics are particularly well covered, aligning with GPT-Image2’s strength in text and layout rendering
• –Coverage is less comprehensive for photography and character work, where broader prompt libraries may be better supplements
• –The custom schema is useful today but could require migration if a cross-model prompt standard emerges