Cs Chatcut Video Blueprint logo

Cs Chatcut Video Blueprint

Community
ChenShuo2004
cs-chatcut-video-blueprint

将自媒体素材、内容想法或已有口播写成中文剧本与制作蓝图,附逐镜分镜、逐图图片提示词和按需的视频动作提示词。用于选题、剧本、分镜与制作前文本交接;不操作项目,不生成或导出媒体。

Overview

PublisherChenShuo2004
Repositorycs-skills
Skill namecs-chatcut-video-blueprint
Stars
204
Forks
21
Bundled files
6
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.

  • 6 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by ChenShuo2004 on GitHub. Read the source before you install it.

Installation

Install the Cs Chatcut Video Blueprint 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/ChenShuo2004/cs-skills/tree/main/cs-chatcut-video-blueprint
  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/ChenShuo2004/cs-skills.git /tmp/cs-skills
mkdir -p .claude/skills
cp -r /tmp/cs-skills/cs-chatcut-video-blueprint .claude/skills/cs-chatcut-video-blueprint
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cs Chatcut Video Blueprint 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 Cs Chatcut Video Blueprint 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 Cs Chatcut Video Blueprint 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.

CS 自媒体剧本与制作蓝图

把真实素材变成可录制、可拍摄、可逐图准备的视频文本包,适用于观点口播、项目复盘、教程演示和情景短剧。可交接到 ChatCut 或其他匹配工具;名称保留原调用方式,文本交付不依赖 ChatCut。默认简体中文。

按请求决定交付深度

  • 只选题:去重、比较受众相关性、观点张力、事实支撑和制作可行性,推荐一个主题。只有比较确有帮助时才打分。
  • 只写口播:直接给可复制的完整稿件,不展开分镜。
  • 要自媒体剧本包、剧本附分镜分图提示词或完整蓝图:连续完成正文、视觉约定、逐镜分镜、逐图图片提示词、按需的动作提示词与素材缺口;不要求用户额外说“端到端”。
  • 已有稿件只补分镜或提示词:保留原稿、已定风格和台词,只交付点名范围;不重开选题、不重写正文。
  • 用户要求“先给我选题”“稿子确认后再继续”时,按其明确阶段停下。已有确认继续有效;需要改变已锁定事实、立场或稿件时才说明变更。

从素材推断平台、时长、受众与语气,并简短标注会影响结果的假设。事实来源、说话人真实经历不能猜;缺少关键依据时给出能完成的稿件部分和最小缺口。不要把完整 brief 当作问卷。

自媒体故事开发

需要从素材写剧本、修正中段推进或去模板感时,读取 自媒体剧本方法。先确定内容承诺和可成立的结尾,再按内容形式检查因果或论证;不为填表硬加对手、倒计时、反转或金句。

真实项目的个人 IP 口播可先用 $cs-personal-ip-script 成稿,再在同一请求内接着完成这里的分镜与提示词。已有正文直接复用;只要口播时不增加文本制作包。

口播质量

  • 每条只针对一个具体人群、场景和问题。开头用可识别的事实、损失、动作或矛盾,让观众立刻知道与自己的关系。
  • 每段推进新事实、例子、解释或行动;不重复换说法。结构服从内容,不强塞固定的 Hook、冲突、结论模板。
  • 产品能力、数字与经历回链到素材;用户观点与外部事实分开。未证实的卖点不能写成肯定断言。
  • 纯口播与停顿、重音等表达标注分开,避免被配音读进台词。只在用户需要时提供多个 Hook 或标注稿。
  • 以可朗读字数和明确语速假设估算时长,标为“预计”。最终音频才决定真实时码;不能声称仅凭字数通过了实听或精确时长验收。
  • CTA 最多一个动作;内容不需要引导时可以没有 CTA。明确无 BGM 时,不增加音乐设计。

制作蓝图

需要分镜、分图或生成提示词时读取 分镜与逐图提示词,按镜号关联台词、图片与动作;每条生成提示词完整可复制,不以“同上”省略。需要保存完整剧本包时使用 文本包模板。

完整制作蓝图另读 蓝图格式。每个素材和 Motion Graphics 都要对应具体口播与观看任务;透明叠加、全屏不透明画面要区分,保护人物、产品 UI 与字幕。实拍、录屏和证据截图写获取指令,不能用生成图伪造真实项目证据。

计划时码不能冒充最终音频对齐。已有最终音频且用户需要字幕或动画真实时间时,可交接给 $cs-narration-phrase-timeline。

数字人产品视频的交接读取 产品包摘要,保留事实、禁用断言、证据编号、规格、声音来源和 sample-then-batch 规则。只有满足产品包范围的制作才交给 $cs-digital-human-product-video-pipeline;普通 ChatCut 剪辑不误送到这个专用管线。

执行边界与完成

  • 不创建、选择或修改 ChatCut 项目。
  • 不上传、导入、导出、渲染或把素材放入时间线。
  • 不调用 ChatCut MCP、不编写 Motion Graphics JSX、不虚构 asset ID。
  • 可以在用户指定的本地目录保存脚本、蓝图和产品包草稿。用户要求制作视频时先交付本阶段产物,再使用实际可用且匹配的制作工具。
  • 交付前核对事实来源、口播推进、镜号与图号引用、关键内容的画面/声音承载、跨镜连续性和计划时长覆盖。提示词条目不代表已生成媒体;静态检查不代表画面质量或传播效果。
  • 先给用户所需成品,仅附影响继续制作的待确认项。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Cs Chatcut Video Blueprint AI skill do?

将自媒体素材、内容想法或已有口播写成中文剧本与制作蓝图,附逐镜分镜、逐图图片提示词和按需的视频动作提示词。用于选题、剧本、分镜与制作前文本交接;不操作项目,不生成或导出媒体。

Why use Cs Chatcut Video Blueprint on TypingMind?

Because you install it once and use it with any model. Cs Chatcut Video Blueprint 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 Cs Chatcut Video Blueprint in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ChenShuo2004/cs-skills/tree/main/cs-chatcut-video-blueprint. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Cs Chatcut Video Blueprint?

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 Cs Chatcut Video Blueprint?

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

Is the Cs Chatcut Video Blueprint AI skill free?

Yes. It is published on GitHub by ChenShuo2004 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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