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Image Assistant - Convert article/module content into 16:9 infographic prompts with a unified style, minimal text, and high readability; first determine "how many images are needed + what each image covers", then condense copy and metaphors, and finally output directly copyable image generation prompts and iterate.
npx skill4agent add yunshu0909/yunshu_skillshub image-assistant| Stage | Name | Goal | Detailed File |
|---|---|---|---|
| 1 | Requirements Clarification (Spec/DoD) | First explore requirements: content/scenario/audience/text density; default size and style; produce a one-sentence restatement and requirement summary | |
| 2 | Image Planning (Chunking → List) | Chunk content → define image list (quantity / what each image covers / recommended template) | |
| 3 | Copy Finalization (Copy Spec) | Finalize "what text to put on the image" word by word (single source of truth) | |
| 4 | Prompt Packaging (Prompt Pack) | Package Copy Spec into copyable prompts; generate batch request packages and batch generate images after user confirmation | |
| 5 | Iterative Polishing | Reduce text, replace metaphors, and improve readability based on feedback | |
templates/style-block.mdstages/
├── 01-brief.md
├── 02-plan.md
├── 03-copy.md
├── 04-prompts.md
└── 05-iterate.md
templates/
├── style-block.md
├── 16x9-infographic.md
├── 16x9-contrast-2cards.md
├── 16x9-3cards-insights.md
├── 16x9-cover-roadmap.md
├── 16x9-5panel-comic.md
├── api-config.md
├── apimart-curl.md
├── apimart-requests-jsonl.md
└── checklist.md
examples/
└── ai-tools-selection.md
scripts/
├── apimart_batch_generate.py
├── apimart.env.example
└── README.md