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Muse Video

Community
LuoJiangYong
muse-video

When the user asks to 策划/构思/设计/写脚本/画分镜 for a video project — e.g. '帮我策划一个广告创意' '这个产品演示视频怎么拍' '帮我写科幻短片的分镜脚本' '给我这个品牌TVC的美术方向'。Not for actual video rendering/compositing or AI image/video generation.

Overview

PublisherLuoJiangYong
Repositorymuse-video-skill
Skill namemuse-video
Stars
51
Forks
7
Bundled files
268
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.

  • 268 bundled files

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

  • Open source

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

Installation

Install the Muse Video 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/LuoJiangYong/muse-video-skill/tree/main
  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/LuoJiangYong/muse-video-skill.git \
  .claude/skills/muse-video
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Muse Video 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 Muse Video 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 Muse Video 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.

Muse Video — AI 视频前期策划引擎

定位:产出 Creative Package(剧本 + 分镜 + 美术 + 提示词),由用户导入下游工具制作。 不做:实际视频渲染、AI 生图/生视频。如有 HyperFrames/ComfyUI 等下游工具可对接;如无,产出策划案供手动制作。 宪法:加载 CONSTITUTION.md 了解 5 条设计原则 + 数据流 + 禁止模式。

路由决策树

用户请求视频相关创作
        │
        ├─ "我做了一个视频,帮我修改/加特效/加字幕" → 这不是本 Skill。如已配置 HyperFrames 等视频合成工具可路由;否则告知用户本 Skill 产出分镜脚本供参考。
        ├─ "帮我生成一个视频/图片" → 这不是本 Skill。如已配置 ComfyUI/image_gen 可在视觉阶段按需调用;否则用文字描述替代。
        │
        └─ "帮我策划/设计/构思一个视频" → ✅ 激活本 Skill
                │
                ├─ 用户提供参考视频(本地文件 / 可下载 URL)?
                │   → 触发 Phase 1 拆解子流程(见 default.md §Phase 1 步骤 2.5)
                │   → 逐镜头拆解为拉片表 → 用户校准 → 聚合为技法摘要
                │   → 技法摘要写入 Project State,后续角色直接消费
                │   → 下载失败:告警 + 问替代方案,不降级不猜测
                │
                ├─ 用户提到具体案例/风格?
                │   → 加载 references/cases/INDEX.md
                │   → 匹配案例 → 加载 references/cases/<id>.md
                │
                ├─ 检测场景类型(关键词匹配):
                │   studio-ad:      "广告/棚拍/TVC/品牌片"
                │   logo-animation: "LOGO/片头/品牌演绎/动画"
                │   product-demo:   "产品/演示/功能介绍/开箱"
                │   sci-fi:         "科幻/Cyberpunk/未来/赛博"
                │   custom:         无匹配 → 用通用流程
                │   新增场景类型 → references/scenes/_TEMPLATE.md
                │
                └─ 检测复杂度:
                    1-2 场景 / 无角色 / 用户催快 → fast-track 管线
                    多场景 / 有角色 / 需要深度策划 → default 管线

管线激活

Default Pipeline(8 阶段 + 1 预留,完整创作)

  1. 需求沟通(Director)→ 确认比例/用途/场景/约束
  2. 内容梳理(Writer + Director)→ 故事、场景、叙事结构
  3. 视觉开发(Art Director + Director)→ 色调、风格、场景搭建、人物设定。含反主观化规则:情绪标签映射 visual_cause 字段(见 references/roles/art-director.md) 3.5 风格定样(条件性)→ 生图前先选模型(references/image-gen-routing.md)→ image_gen 生成场景 moodboard + 角色概念图 → 用户看图确认 → 锁定风格方向。不可用时跳过
  4. 脚本(Writer → DP → Director review)→ 台词、镜头语言、动作、时长
  5. 声音方向(Sound Designer)→ 配乐风格、音效、旁白基调
  6. 分镜(Storyboard Assembly)→ 6/9 宫格分镜 + 显式询问用户是否调用 image_gen 生成分镜图 + 可选实景参考图获取(references/free-image-sources.md);生成产物登记顶层 file_registry
  7. 组装+调优(Director)→ prompt_assembler.py 产出 Creative Pack → HTML storyboard 确认门禁(四选项 + 默认,唯一最终确认关卡)。参考图经顶层 file_registry 全链引用(不转述),确认即锁定 7.5 模型编译(Model Compiler)→ 编译前先选模型(Phase 7 子步骤 6.5);Creative Package 编译为模型调用指令(六段式 prompt + 多模态引用 + arkcli 命令 + 成本估算),导出编译预览 HTML 供用户二次确认。已适配 Seedance 2.0 8 下游工具引导(预留)→ 工具选择与费用预估(不执行,建设时遵循「机场指示牌」原则)

每阶段:角色产出 → Director 审核。通过 → 下一阶段。修改 ≤2 轮。拒绝 → 重启该阶段。 角色文件:按需加载 references/roles/<name>.md,不一次全载入。

Fast-Track Pipeline(简化版)

合并阶段 2+3+4 → 一稿过,跳过 Director 多轮审核。仅适用于简单需求。

案例引用

案例匹配 → 加载 references/cases/INDEX.md。新增案例 → references/cases/_TEMPLATE.md。索引由 scripts/build_index.py 自动生成,禁止手动编辑 INDEX.md。

导出格式

scripts/export_html.py → 文学剧本 HTML(Courier 标准格式)/ 分镜展示 HTML(卡片网格)/ 编译预览 HTML(--literary / --storyboard / --compilation) scripts/export_xlsx.py → 分镜技术表 Excel(镜号/景别/运动/灯光/VFX) 用户说"导出剧本/分镜表" → 自动触发对应脚本。

下游对接

产出 Creative Package 后,按 references/downstream-integration.md 对接下游工具(HyperFrames / ComfyUI / Kling / 火山引擎 / etc.)。

INDEX.md 自动化

见 CONSTITUTION.md §元数据治理。build_index.py --check 校验,--write 重新生成。禁止手动编辑。

产出验证

见 references/meta/verification-checklist.md。

Bundled files

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

and 140 more files.

Frequently asked questions

What does the Muse Video AI skill do?

When the user asks to 策划/构思/设计/写脚本/画分镜 for a video project — e.g. '帮我策划一个广告创意' '这个产品演示视频怎么拍' '帮我写科幻短片的分镜脚本' '给我这个品牌TVC的美术方向'。Not for actual video rendering/compositing or AI image/video generation.

Why use Muse Video on TypingMind?

Because you install it once and use it with any model. Muse Video 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 Muse Video in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/LuoJiangYong/muse-video-skill/tree/main. 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 Muse Video?

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 Muse Video?

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

Is the Muse Video AI skill free?

Yes. It is published on GitHub by LuoJiangYong 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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