Plan editorial illustrations
Skill ShenyuanNext/wepr-growth-skills/skills/plan-editorial-illustrations
Turn Chinese or English articles into coherent editorial illustration systems, shot lists, prompts, and visual QA plans. Use for 文章配图, 小红书配图, 公众号插画, editorial illustration, illustration prompts, visual storytelling, recurring character systems, or checking composition, text accuracy, hierarchy, and style consistency.From its SKILL.md
npx -y skills add ShenyuanNext/wepr-growth-skills --skill plan-editorial-illustrationsAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 2 stars2 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
2.6 KB, 442 tokens by cl100k_base, as published. Nobody here has run it
Plan Editorial Illustrations
Translate ideas into visual actions. Do not decorate every paragraph.
Workflow
- Read the complete source and identify the audience, publication surface, aspect ratio, illustration count, brand constraints, and required recurring character or style.
- Extract the article's central thesis, key turns, abstract mechanisms, and moments that benefit from visual explanation.
- Select only illustration-worthy moments. Prefer scenes that clarify tension, sequence, comparison, system, or consequence.
- Create a shot list before generation: purpose, scene, subject action, composition, labels, color accents, and placement.
- Assign one dominant visual structure per image: single action, before/after, path, balance, funnel, loop, ladder, or contrast.
- Keep a consistent visual grammar across the set while varying composition and action.
- Write generation prompts that specify canvas, hierarchy, character action, environment, text limits, palette, line quality, whitespace, and exclusions.
- Generate immediately when the user explicitly requests images and an image tool is available; otherwise return prompts and a shot list.
- Inspect every result for text errors, hierarchy, cropping, duplicated limbs, inconsistent character identity, crowded labels, and accidental commercial-slide styling.
- Revise failed images individually rather than regenerating the whole set without diagnosis.
Default visual direction
When the user requests a restrained hand-drawn editorial style but gives no brand guide, use a clean light background, black imperfect linework, large whitespace, one clear action, and sparse accent colors. Do not copy a living artist's or third party's signature style or protected character.
Route by need
- Read references/shot-list.md to select scenes and structure a set.
- Read references/prompt-and-qa.md to write prompts and review outputs.
Output standard
Return the relevant subset of: visual concept, illustration count, placement map, shot list, production prompts, negative constraints, alt text, and QA findings. Keep in-image text short and reproduce names, numbers, and quotations exactly from verified source material.
What ships with it: 3 files
2.3 KB alongside SKILL.md
agents/
- openai.yaml249 B
references/
- prompt-and-qa.md1.1 KB
- shot-list.md887 B