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Selling Point Storyboard

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xianyu110
selling-point-storyboard

卖点分镜表:把商品卖点拆成 15–60 秒带货短视频的逐镜分镜表(时间码、画面、台词、字幕、花字、素材来源、运镜),并直接输出可渲染的 storyboard.json。Use when the user wants a storyboard, 分镜, 分镜脚本, shot list, 带货视频脚本, video script from selling points, or needs to plan a product video before generating or editing.

Overview

Publisherxianyu110
Repositoryecommerce-video-skills
Skill nameselling-point-storyboard
Stars
110
Forks
16
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by xianyu110 on GitHub. Read the source before you install it.

Installation

Install the Selling Point Storyboard AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/xianyu110/ecommerce-video-skills/tree/main/skills/selling-point-storyboard
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/xianyu110/ecommerce-video-skills.git /tmp/ecommerce-video-skills
mkdir -p .claude/skills
cp -r /tmp/ecommerce-video-skills/skills/selling-point-storyboard .claude/skills/selling-point-storyboard
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Selling Point Storyboard in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Selling Point Storyboard on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Selling Point Storyboard is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

卖点分镜表 · Selling-Point Storyboard

从「卖点清单」到「能直接渲染的分镜表」。输出两份:人看的 Markdown 表格 + 机器跑的 storyboard.json(给 ffmpeg-auto-assemble)。

Part of ecommerce-video-skills

输入 Inputs

  • 商品信息与 真实 卖点(3 个最好,最多 5 个)
  • 时长目标:15s(种草/主图视频)· 30s(标准带货)· 60s(测评/讲解)
  • 现有素材:商品图、场景图、实拍视频(文件名列出来)
  • 平台 + 画幅;配音语言与音色偏好

结构公式 Structure

时长结构(镜数)
15s钩子(1) → 产品亮相(1) → 卖点×2–3(2–3) → 行动号召(1),共 5–6 镜
30s钩子 → 痛点放大 → 产品亮相 → 卖点×3(每个「说 + 证明」)→ 使用场景 → 行动号召,8–10 镜
60s钩子 → 我的经历 → 开箱 → 卖点×3–4 演示 → 对比 → 缺点/适合谁 → 行动号召,14–18 镜

规则:一镜一信息;每个卖点都要配「证明画面」(演示、细节、对比),光说不演不算卖点。

步骤 Steps

  1. 卖点排序:按「用户最在意 × 画面最好证明」排序,最强的放第 2–3 镜。
  2. 每镜写:时间、画面(用哪张素材/要拍什么)、台词(每镜 ≤ 2 句,中文 4–5 字/秒)、字幕(关键词用 **加粗** 标高亮)、花字(可选)、运镜。
  3. 时长核算:台词字数 ÷ 4.5 ≈ 秒数;总时长超了就删台词,不要加快语速超过 +20%。
  4. 缺素材的镜头标记 TODO,并给出拍摄/生成建议(可交给 image-to-video-shots 或姊妹仓库 ecommerce-image-skills 出图)。
  5. 输出 Markdown 表 + storyboard.json。

分镜表模板

#时间画面 / 素材台词(配音)字幕(高亮)花字运镜
10–3slifestyle.webp 户外手拿杯夏天带冰水出门,不到中午就变温了?冰水不到中午就变温了?冰水撑不到中午?punch
23–5swhite-bg.webp 白底亮相换这只保温杯试试。换这只保温杯试试—zoom_in
…

storyboard.json 模板

json
{
  "voice": "zh-CN-YunxiNeural", "rate": "+10%", "bgm": "auto", "tag": "品牌名 · 型号",
  "shots": [
    {"image": "assets/scene.jpg", "motion": "punch", "line": "钩子台词", "sub": "钩子**关键词**", "title": "花字"},
    {"image": "assets/main.jpg", "motion": "zoom_in", "line": "产品亮相台词"},
    {"image": "assets/detail.jpg", "motion": "pan_down", "fit": "blur", "line": "卖点一台词", "sub": "卖点一|**证明**"},
    {"video": "clips/demo.mp4", "start": 3.0, "line": "卖点二演示台词"},
    {"image": "assets/end-card.png", "min": 3.0, "line": "行动号召台词", "sub": "", "cta": "点击下方链接 ›"}
  ]
}

字段说明见 ffmpeg-auto-assemble。渲染:python skills/ffmpeg-auto-assemble/scripts/assemble.py storyboard.json -o out/video.mp4。

提示词模板 Prompt template

text
你是电商短视频编导。根据以下信息写一份 {15} 秒竖屏带货分镜表。
商品:{…};目标人群:{…};平台:{…}
真实卖点(不得编造数据、认证、价格):{…}
可用素材文件:{lifestyle.webp, white-bg.webp, …}
要求:一镜一信息;每个卖点配证明画面;台词每镜 ≤ 2 句,总字数 ≤ {时长×4.5};
关键词用 **加粗**;最后一镜是行动号召。
先输出 Markdown 分镜表,再输出符合下面 schema 的 storyboard.json:{粘贴上方模板}

检查清单 Checklist

  • 第 1 镜是钩子(见 hook-3s-script),最后 1 镜是行动号召
  • 总台词字数 ≈ 时长 × 4.5(中文)/ × 2.5 词(英文)
  • 每个卖点都有证明画面;没有编造的数据、认证、价格
  • 每镜素材都存在或标了 TODO
  • JSON 能通过 python -m json.tool storyboard.json

常见问题与修复 Failure fixes

问题修复
成片超时删台词而不是加速;合并信息相近的镜头
卖点像念说明书每个卖点改成「场景 + 结果」:「放包里一下午,本子还是干的」
素材不够同一张图用不同 motion / fit 做两镜;或生成场景图
字幕挡商品卖点镜头用 "fit": "blur",商品放在上半屏

Frequently asked questions

What does the Selling Point Storyboard AI skill do?

卖点分镜表:把商品卖点拆成 15–60 秒带货短视频的逐镜分镜表(时间码、画面、台词、字幕、花字、素材来源、运镜),并直接输出可渲染的 storyboard.json。Use when the user wants a storyboard, 分镜, 分镜脚本, shot list, 带货视频脚本, video script from selling points, or needs to plan a product video before generating or editing.

Why use Selling Point Storyboard on TypingMind?

Because you install it once and use it with any model. Selling Point Storyboard is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Selling Point Storyboard in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/xianyu110/ecommerce-video-skills/tree/main/skills/selling-point-storyboard. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Selling Point Storyboard?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Selling Point Storyboard?

As many as you like. As long as a model supports skills, you can use Selling Point Storyboard with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Selling Point Storyboard AI skill free?

Yes. It is published on GitHub by xianyu110 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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