vertical-big-word-cover

name	vertical-big-word-cover
description	竖版大字报封面制作。第一眼只有一个大钩子，人物置顶，大字压在人物后面，底部一个结果承诺。 适合9:16短视频封面、真实案例、避坑内容、老板视角、方法论内容。 当用户说"做封面"、"短视频封面"、"大字报封面"、"竖版封面"、"封面图"时使用。

Vertical Big Word Cover

Goal

Create a 9:16 short-video cover that works as an attention interceptor, not an information page. The viewer should see one hook, one face, one result promise — nothing more.

Required Inputs

• Source video or clearest speaker frame
• Topic or conflict point
• Result promise the viewer should remember
• Optional: category label (e.g. "真实案例", "AI落地指南")

Core Principle

A cover is not an explanation page. It is an attention interceptor.

The shared trait of effective covers is NOT "lots of text" — it is:

• One big hook at first glance
• Speaker face on the top visual layer
• Large text behind the person, poster-style
• One result promise at the bottom
• Small labels only for classification, never for explanation

Layer Order (bottom to top)

1. Background: Source video frame, blurred, darkened, desaturated
2. Big text layer: 4-6 characters, red or white, thick stroke, OK to be partially covered by person
3. Person layer: Cutout or sticker-style speaker, on top, slight stroke or glow
4. Result layer: Bottom text, usually cyan-green / yellow / white combination
5. Label layer: Category tags — small and clear (e.g. "真实案例", "老板必看")

Person must cover the big text, never the reverse.

Copy Formula

Extract "conflict + action + result", not "asset name":

Conflict: 别做X / 别问X / X不等于Y
Action:   先做Y / 先拆Y / 先跑通Y
Result:   变成Z / N天见效 / 3步搞定Z

Bad example: "一堆资料" — just an asset, no relation to the outcome. Good example: "别问需求 / 先拆资料 / 一堆文档变AI工作流"

Text Rules

Three layers maximum:

• Category label: 2-6 characters (e.g. "真实案例")
• Main hook: 4-6 characters (e.g. "别问需求")
• Result promise: 6-12 characters (e.g. "一堆文档变AI工作流")

Never show simultaneously: multiple labels, multiple explanation sentences, multiple process nodes, multiple peer-level titles.

Cover Templates

Template A: Prohibition + Action

别做系统
先跑场景
7天见效

For: enterprise AI, methodology, pitfall-avoidance content.

Template B: Object + Result

一堆资料
变AI工作流
真实案例

For: customer cases, project reviews, data governance content.

Template C: Misconception + Correction

会用AI
不等于提效
先选场景

For: cognitive correction, boss perspective, team efficiency content.

Quality Gates

Fail if:

• More than one main hook competing for attention
• Big text covers the face instead of behind it
• Bottom result is unclear or too long
• Too many explanation sentences
• Cover looks like an information page rather than an attention interceptor

Reference

Read references/cover-sop.md for the full SOP with detailed layer specs, copy extraction methods, and finished cover examples.