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Cs Knowledge Film

Community
ChenShuo2004
cs-knowledge-film

制作明确要求暗夜星空、衬线双语字幕与金色光点风格的知识解说片,或用户显式调用 $cs-knowledge-film:从概念与画面隐喻设计,到口播、场景 spec、配音和 1080p 渲染。普通科普视频不默认套用这一视觉模板;网页产品演示、ChatCut 策划和电商视频复刻各用对应 skill。

Overview

PublisherChenShuo2004
Repositorycs-skills
Skill namecs-knowledge-film
Stars
204
Forks
21
Bundled files
13
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.

  • 13 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 Knowledge Film 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-knowledge-film
  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-knowledge-film .claude/skills/cs-knowledge-film
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cs Knowledge Film 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 Knowledge Film 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 Knowledge Film 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 暗夜知识片

把一个抽象概念讲成一部安静、克制、有电影感的知识短片。本 skill 的暗夜星空视觉是用户选择这一风格时使用的实现,不是所有知识视频的默认视觉。先找到选题的核心问题与可见的动作,再决定使用现有场景、扩展场景,或为该题材另做画面。

交付

  • 一个项目目录:spec.json(唯一需要手写的文件)、audio/、timeline.json、subtitles.srt、preview.jpg、video.mp4。
  • 视频默认 1920×1080、30fps、H.264 + AAC;可选中文配音(edge-tts)+ score.py 生成的配乐与音效(参照原片:A 小调低音长音、温暖和弦铺底、玻璃钟琴、与画面事件逐一对齐的打字/转轮/呼啸/撞击声,-16 LUFS);画面内置中英双语字幕,同时导出 subtitles.srt。
  • 不上传、不发布。BGM 只用用户提供的文件(spec.bgm)。

风格速查(细节见 references/style.md)

  • 底色近黑带一点藏蓝,慢速闪烁的星空,暗角 + 轻微颗粒。
  • 字体:中文宋体/衬线(Noto Serif SC),英文 Lora 斜体;不用黑体。
  • 颜色只有三种语义:金=重点/惊奇/答案,冰蓝=结构/线条/已知,绯红=噪声/错误/被排除。
  • 左上角章节标签 01 猜 THE GUESS;底部中文字幕 + 英文斜体小字。
  • 动效慢:淡入 0.6–1s、缓出曲线;光点有辉光和呼吸感;不要弹跳、不要转场特效。

工作流

1. 先定三件事

缺了才问,能自己判断就不问:

  1. 主题与一句话结论(这支片子最后让观众记住哪一句)
  2. 时长(默认 2–3 分钟;每分钟约 220–250 字口播)
  3. 是否需要英文字幕(默认要,和参考片一致)

2. 写口播稿(见 references/script.md)

先提炼一句话结论、主要误解和适合这个题目的画面隐喻,再设计钩子与章节。可参考“体验式钩子 → 标题 → 3–5 章 → 回到开头收束”,但故事结构由内容决定,不必重复参考片的章节或结尾。

每句 8–25 字,一句一个意思,适合被逐句打在字幕上。数字和史实要核对,不编造。

3. 拆场景写 spec.json(见 references/spec.md)

把 assets/example-spec.json 当作格式示例,不复制其中的场景顺序或视觉隐喻。先列出每章要让观众看见的变化,再选现有场景类型;现有类型表达不了时,按 references/spec.md 的扩展说明新增场景。

概念形态场景类型
预期 / 猜下一个字 / 填空typewriter
候选词概率、采样、温度probs
片名title
二分、度量、量化numberline
罕见事件、时间、希望、灯火landscape(烽火、时间条、弧线、灯)
日常 vs 罕见新闻city(夜景、下雪、头条)
公式、定义formula
语言、冗余、噪声、压缩textplay
传输、编码、信道signal / probe
同样数据不同意义compare
信息茧房、同质化cards
名人原话quote
真实图片(星图、照片)image
停顿、提问orb / blank

事件时间用 "L2"(本场第 2 句开始)、"L2e"(第 2 句结束)、"L2+0.5" 锚定到口播,配音变长变短都不会错位。

4. 配音 → 时间轴 → 预览 → 渲染

把 scripts/ 下 4 个文件放在任意位置,项目目录里只放 spec.json:

bash
python scripts/tts.py  <项目目录>          # 逐句配音 audio/line_XXX.mp3(需联网,免费)
node   scripts/timeline.mjs <项目目录>     # 按真实音频长度排时间轴,拼 narration.wav + subtitles.srt
python scripts/score.py <项目目录>         # 按场景和事件生成配乐 + 音效 score.wav(改了 spec 就重跑)
node   scripts/render.mjs <项目目录> --preview   # 每场 2 帧拼成 preview.jpg —— 必须先看
node   scripts/render.mjs <项目目录> --still 42  # 单帧排查
node   scripts/render.mjs <项目目录>              # 全量渲染 video.mp4
node   scripts/render.mjs <项目目录> --remux      # 只换声音:复用已渲染画面重新混音

依赖:Node 18+、playwright(含 Chromium)、ffmpeg、Python 3;配音需安装 edge-tts,程序配乐需安装 numpy scipy。已有 Chrome 的环境可用 CHROME_EXECUTABLE 指向其可执行文件,PLAYWRIGHT_MODULE 可指向现有的 Playwright 模块目录。在目标环境中显式安装依赖,脚本不会自动修改 Python 环境。没有配音时 timeline 按字数估算,可以先出无声版确认画面;修改文案或音色后重跑 tts.py,它会只更新变化的句子。

5. 验收(见 references/qa.md)

必须实际看 preview.jpg,再抽查关键事件帧(数字揭晓、灯亮、遮罩出现)。常见问题:字幕压住画面元素、事件早于对应口播、文字超出画面、辉光过曝成灰屏。

边界

  • 本 skill 负责“讲清一个知识点”的解说片;真人口播、直播切片、产品演示不在范围。
  • 不把别人的原片文案照搬进新片;参考的是结构和视觉语言,文案自己写。
  • 图片素材只用用户提供或可合法使用的(公共领域 / CC),在 spec 里记录来源。

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 Knowledge Film AI skill do?

制作明确要求暗夜星空、衬线双语字幕与金色光点风格的知识解说片,或用户显式调用 $cs-knowledge-film:从概念与画面隐喻设计,到口播、场景 spec、配音和 1080p 渲染。普通科普视频不默认套用这一视觉模板;网页产品演示、ChatCut 策划和电商视频复刻各用对应 skill。

Why use Cs Knowledge Film on TypingMind?

Because you install it once and use it with any model. Cs Knowledge Film 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 Knowledge Film in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ChenShuo2004/cs-skills/tree/main/cs-knowledge-film. 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 Knowledge Film?

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 Knowledge Film?

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

Is the Cs Knowledge Film 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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