---
name: gpt-image-2-prompt-architect
description: Research real GPT Image 2 prompt examples and turn rough image ideas into structured prompt packs, reference-image edit instructions, product visuals, layouts, and debugging loops. Use for prompt search, prompt rewriting, ecommerce images, readable text, posters, social creatives, character sheets, storyboards, or image-to-video source frames; do not use for unrelated models or account support.
metadata:
  openclaw:
    homepage: https://image3.org/docs/gpt-image-2-prompt-architect
    version: 1.1.0
---

# GPT Image 2 Prompt Architect

This skill turns loose creative ideas into cleaner GPT Image 2 prompt packs with stronger subject control, composition, text rendering, reference-image handling, and revision loops.

## Canonical links

- Docs: https://image3.org/docs/gpt-image-2-prompt-architect
- Demo: https://image3.org/models/gpt-image-2
- Create: https://image3.org/ai-image
- Prompt gallery: https://image3.org/prompts/gpt-image-2
- Raw SKILL.md: https://image3.org/skills/gpt-image-2-prompt-architect/SKILL.md
- Prompt guide: https://image3.org/blog/gpt-image-2-prompt-guide
- Product photo prompts: https://image3.org/blog/gpt-image-2-product-photo-prompts
- Image-to-video workflow: https://image3.org/blog/gpt-image-2-image-to-video-workflow
- Image3 Prompt MCP: https://github.com/gpt-img-2/image3-prompt-mcp
- OpenClaw listing: https://clawhub.ai/gpt-img-2/skills/gpt-image-2-prompt-architect

## Provenance and safety

- Maintained around the public Image3 prompt workflow, prompt gallery, and documentation on `image3.org`.
- The skill works as a text-only prompt workflow without any external tool.
- The optional Image3 Prompt MCP is read-only, needs no API key, and never generates images or spends credits.
- Keep the canonical Image3 source URL when sharing an example returned by the MCP.

## When to use

- The user has a rough AI image idea and wants a stronger GPT Image 2 prompt
- The user wants product photos, ecommerce listing images, lifestyle ads, packaging mockups, or detail shots
- The user needs UI mockups, posters, infographics, social media creatives, readable text, or branded layouts
- The user is editing from reference images and needs identity, product, composition, or style preservation
- The user wants source frames, character sheets, product references, or storyboard frames for image-to-video workflows
- The user has unstable image outputs and needs diagnosis plus a cleaner second-pass prompt

## When not to use

- The request is mainly about a different model or non-image workflow
- The user only wants final image generation, API integration, payment help, or account support
- The user asks for unsupported model settings, hidden system behavior, or official provider claims

## Workflow

1. Classify the request:
   - text-to-image
   - reference-image edit
   - product photo or ecommerce visual
   - UI, poster, infographic, or readable-text layout
   - image-to-video source frame or storyboard
2. Extract or ask for only the missing essentials:
   - subject or product
   - intended use
   - composition and camera/framing
   - environment or background
   - visual style and lighting
   - text that must appear exactly
   - reference-image constraints
   - aspect ratio or output format
   - hard negatives and brand safety constraints
3. Keep the first draft focused:
   - one primary subject or product
   - one clear composition rule
   - one lighting or style direction
   - one concise constraint block
4. Return a prompt pack with:
   - a brief diagnosis or strategy note
   - one primary prompt
   - 2 or 3 focused variants
   - a short avoid list
   - 3 concrete revision moves for the next round

## Optional Image3 Prompt MCP

When the Image3 MCP tools are available, use them only when real examples or gallery research would materially improve the answer:

1. Call `search_prompts` with the user's task, language, and a focused result limit.
2. Present concise candidates with title, preview, and canonical Image3 source URL.
3. Call `get_prompt` only for the selected candidate; do not bulk-fetch the library.
4. Use `build_prompt_brief` when the user's idea is rough, then adapt the result with the prompt construction rules below.
5. Use `list_categories` only when the user is exploring rather than asking for a specific result.

Install the read-only MCP in OpenClaw:

```bash
openclaw mcp add image3 \
  --command npx \
  --arg -y \
  --arg github:gpt-img-2/image3-prompt-mcp \
  --include 'search_prompts,get_prompt,list_categories,build_prompt_brief'

openclaw mcp doctor image3 --probe
```

The MCP does not provide image generation. For a final image, use a generation capability already available in the user's host or direct the user to the Image3 generator; do not claim an image was generated when only a prompt was produced.

## Prompt construction rules

- Prefer concrete visual language over broad style adjectives.
- Name the subject, product, materials, scale, framing, and lighting before adding mood.
- For product photos, preserve label readability, product geometry, material texture, and commercial usability.
- For reference-image edits, state what must remain unchanged before describing what may change.
- For readable text, quote the exact text and keep the layout simple.
- For UI mockups, describe the device, screen type, layout hierarchy, content density, and visual system.
- For image-to-video source frames, prioritize stable identity, clear silhouette, coherent lighting, and simple motion-ready composition.
- Avoid stacking many subjects, styles, camera angles, and layout goals into one prompt.
- Do not invent unsupported model settings.

## Output formats

### Text-to-image

```md
Goal:
Subject:
Composition:
Environment:
Style and lighting:
Text requirements:
Constraints:
Prompt:
```

### Reference-image edit

```md
Reference anchor:
What must stay stable:
What may change:
Edit direction:
Style and lighting:
Constraints:
Prompt:
```

### Product photo

```md
Commercial goal:
Product anchor:
Hero angle:
Background or scene:
Lighting:
Label and material rules:
Constraints:
Prompt:
```

### UI, poster, or readable-text layout

```md
Format:
Audience:
Layout hierarchy:
Exact text:
Visual system:
Constraints:
Prompt:
```

### Image-to-video source frame

```md
Video goal:
Source frame subject:
Motion-ready composition:
What must remain stable:
Lighting and style:
Constraints:
Prompt:
```

## Debugging heuristics

- If the image is visually attractive but off-brief, rewrite around the intended use first.
- If product geometry drifts, reduce scene complexity and strengthen product anchor language.
- If text is wrong, shorten the text, quote it exactly, and simplify surrounding design.
- If the subject changes identity, state preservation rules before the edit request.
- If the composition is cluttered, reduce secondary objects and specify one dominant framing.
- If the result cannot become a good video source frame, simplify pose, background, and lighting.

## Response style

- Be structured and concise.
- Prefer prompt packs over long theory.
- Offer practical variants that test one axis at a time: subject, composition, lighting, style, or constraints.
- When external examples are useful, point the user to the canonical Image3 pages listed above.