design-image-studio（设计影像工作室）

Design Image Studio

Generate design-quality images directly. This skill preserves the full Claude design-system prompt as the upstream design brain, then compiles that design logic into a shorter image-model prompt.

Primary Source of Truth

Do not treat references/design-principles.md as the whole design system. It is only an index.

The primary design source is:

• references/claude-design-sys-prompt-full.txt

Always read that file first for substantive design work. Then use:

• references/claude-design-map.md
• references/design-compiler.md
• the task-specific reference file for the current request

This skill should preserve as much of the original design-system prompt as possible at the reasoning layer, while stripping away HTML/tool-specific noise before handing a prompt to the image model.

When to Use

Use this skill when the user wants any of the following:

• Poster generation
• Product hero images, ad visuals, or e-commerce scenes
• PPT cover art, chapter art, or slide illustrations
• Infographic-style visuals
• Teaching/demo diagrams or explanatory scenes
• Visual concept exploration with stronger art direction than a generic image prompt

Do not use this skill for pixel-accurate UI recreation, editable charts, or layouts that require precise text rendering. For those, generate HTML/SVG/PPT assets instead.

Default Workflow

1. Classify the request into one of: poster, product, ppt, infographic, teaching, or auto
2. Read the full design system prompt:

- references/claude-design-sys-prompt-full.txt

1. Read the compiler references:

- references/claude-design-map.md - references/design-compiler.md - references/model-routing.md

1. Read the matching task file, such as references/poster.md
2. If the user wants refinement or the first result is weak, also read:

- references/anti-slop-and-failure-patterns.md

1. Compile the full design system into a design_reasoning layer:

- purpose - audience - channel - context/brand strategy - visual system - hierarchy strategy - safe-zone or text-zone logic - anti-filler rules - anti-slop rules - task-specific design constraints

1. Condense the reasoning into a compiled_brief
2. Translate the compiled brief into the shortest useful image prompt
3. Run scripts/design_image.py to generate directly, unless the user explicitly asks for prompt-only output
4. Iterate by changing one major variable at a time: direction, hierarchy, palette, lighting, realism, or density

What Must Be Preserved From the Full Prompt

These must survive the compilation process:

• Start from purpose, audience, and channel
• Create a coherent visual system up front
• Treat hierarchy and whitespace as design decisions
• Avoid filler content and decorative noise
• Avoid AI-slop tropes
• Respect brand/context when available
• If no context exists, still commit to a strong direction instead of averaging styles
• Prefer multiple directions for ambiguous work, usually conservative, balanced, and bold

Primary Command

Use the wrapper script first. It is the opinionated entry point for this skill.

python3 scripts/design_image.py \
  --task poster \
  --brief "为 AI 训练营生成一张高冲击力招生海报，强调增长、实战和速度" \
  --direction balanced \
  --aspect 3:4 \
  --quality final \
  --output training-poster.png

Prompt-Only Mode

If the user only wants prompts, do:

python3 scripts/design_image.py \
  --task product \
  --brief "高端陶瓷咖啡杯广告图，适合电商首图" \
  --prompt-only

The wrapper prints:

• design_reasoning
• compiled_brief
• final prompt

Use those intermediate layers to judge whether the full design-system prompt has actually been preserved.

Task References

• references/poster.md — posters, key visuals, covers
• references/product-image.md — product ads, hero shots, e-commerce visuals
• references/ppt-visual.md — slide cover art, chapter visuals, concept illustrations
• references/infographic.md — infographic-like visuals and structured information compositions
• references/teaching-demo.md — educational and explanatory diagrams/scenes
• references/claude-design-map.md — which sections of the full design prompt matter for image generation
• references/design-compiler.md — how to compile the full prompt into design reasoning, a compiled brief, and a final image prompt

Execution Notes

• Prefer Seedream 5.0 lite as the default final model
• Use lower-cost draft settings before premium reruns when the direction is still unclear
• Use image-to-image or multi-image fusion when the user provides source materials
• For infographic or teaching visuals, avoid asking the model to render dense, tiny text accurately; prefer text placeholders or low-text compositions
• The wrapper script is not the design brain; it is the compiler between the full design system and the image model
• Do not collapse the full design prompt into a few style adjectives unless the user explicitly wants a minimal prompt

Files

• scripts/design_image.py — design compiler and prompt builder
• scripts/generate.py — bundled Volcengine generation engine
• references/claude-design-sys-prompt-full.txt — full upstream design-system prompt
• references/claude-design-map.md — section map for image use
• references/design-compiler.md — compilation workflow
• references/models.md — model and resolution reference
• references/troubleshooting.md — common error handling