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Sound Design Energy Model

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geegl
sound-design-energy-model

Four-layer sound energy transformation model for film: physical, emotional, intellectual, ethical. Maps how sound travels from source to audience across technical, dramatic, aesthetic, and spiritual dimensions.

Overview

Publishergeegl
Repositorydirectorskills
Skill namesound-design-energy-model
Stars
68
Forks
7
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

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

Installation

Install the Sound Design Energy Model 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/geegl/directorskills/tree/main/output/books/sound-design/sound-design-energy-model
  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/geegl/directorskills.git /tmp/directorskills
mkdir -p .claude/skills
cp -r /tmp/directorskills/output/books/sound-design/sound-design-energy-model .claude/skills/sound-design-energy-model
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Sound Design Energy Model 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 Sound Design Energy Model 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 Sound Design Energy Model 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.

RIA++ Skill: 四层声能转化模型 (Sound Energy Transformation Model)

R — 原文 (Reading)

"声能转化图:连续阶段 影片→放映→观众;平行层面 物理的、情绪的、智力的、道德的。" — 声音设计 — David Sonnenschein, p.g_0003

I — 方法论骨架 (Interpretation)

声音在电影中的作用分为四个平行层面,每个层面从制作到接收都有完整的传导链:

  1. 物理层:声源→声学环境→录制→剪辑→混录→转录→还音系统→影院空间→听觉系统→神经功能。这是技术基础。
  2. 情绪层:故事→人物→目标→冲突→语言音调→音乐→节奏→观众外部反应(笑/哭/心跳)。这是戏剧核心。
  3. 智力层:作曲→语义思想→提升的意识、悬念、幽默。这是美学追求。
  4. 道德/精神层:未解决的困境→不明确的关系→鉴定的机会→内心的质疑。这是最深层的价值。

关键洞察:声音设计师必须同时在所有四个层面工作。只关注物理层(技术)而忽视情绪/智力/道德层,是声音匠人而非声音设计师的区别。

A1 — 书中的应用 (Past Application)

案例 1:《致命谈判》四拍与三拍的多层声能对应

  • 问题:如何用声音同时在物理层(节奏)、情绪层(人物对比)和智力层(音乐结构平行叙事)工作?
  • 方法论的使用:声音设计师将4/4拍(机械/时钟主题)关联到冷酷角色,3/4拍(有机/心跳主题)关联到温暖角色。物理层是节奏选择,情绪层建立人物对比,智力层形成音乐结构与叙事结构的平行。
  • 结论:当一个声音设计决策在三个以上层面同时产生意义时,它就超越了"音效"成为真正的声音叙事。

案例 2:《地心引力》从物理层到道德层的声能传导

  • 问题:太空灾难片如何让观众在技术真实(物理层)的同时感受到存在主义恐惧(道德层)?
  • 方法论的使用:物理层严格模拟太空真空和舱内声学;情绪层用呼吸声的变化传导恐惧升级;智力层通过声音从有声→无声→有声的结构暗示"重生"主题;道德层让观众质疑人类在宇宙中的渺小。
  • 结论:四层声能模型是诊断工具——如果场景"感觉不对",逐层检查哪一层断裂了。

A2 — 触发场景 (Future Trigger) ★

场景1:为一个纪录片设计声音,需要决定声音应该多"真实"。

  • 语言信号:"这个声音应该客观还是主观?"

场景2:在混录中对白和音效冲突,需要决定优先级。

  • 语言信号:"这里观众应该关注什么?"

场景3:为一个有道德困境的角色设计声音主题。

  • 语言信号:"这个人物的声音应该让人感觉怎样?"

E — 可执行步骤 (Execution)

  1. 分层分析:对每个场景,列出四个层面各需要什么声音效果

  2. 层间对齐:检查四个层面是否协调一致——物理层的声音选择是否支持情绪层的目标?

  3. 优先级判断:当层面冲突时,情绪层通常优先于物理层(技术服务于叙事)

    • 🔴 判停条件: 若分层分析后四个层面的目标相互矛盾(如物理层要求冷酷音色但情绪层要求温暖感),回到步骤1重新评估叙事核心需求;若层间对齐后优先级判断导致技术执行偏离原始设计意图,回到步骤3与导演/编剧确认叙事优先级

B — 边界 (Boundary) ★

反场景:纯技术演示(如音响设备测试)、无叙事的环境音乐、纯功能性广播。

失败模式:

  • 过度关注物理层(追求完美录音)而忽视情绪层
  • 在道德层强行植入主题,导致说教感
  • 四个层面相互矛盾(物理层选择温暖声音,但叙事需要冷酷感)

反模式与常见错误

  • 不要只关注物理层而忽视其他三层——追求完美录音技术但忽略声音的情绪和叙事功能,是声效匠人而非声音设计师的典型表现。技术永远服务于故事
  • 不要在道德层强行植入主题——通过声音"教育观众"会产生说教感,道德层应该是观众自己感受到的而非被灌输的
  • 不要假设四个层面的权重相等——不同类型影片的层面优先级不同,纪录片可能物理层优先,剧情片可能情绪层优先,必须根据项目类型判断

作者的盲点 / 时代局限

David Sonnenschein 的声音设计理论源自传统电影声音制作,对数字时代的新声音形态(如 ASMR、空间音频、AI 生成音效)覆盖不足。他假设声音设计师有专业录音棚和拟音资源,独立创作者的低成本声音解决方案讨论较少。书中理论框架偏重感知心理学,对文化差异导致的声音审美差异(如东西方对沉默的不同理解)涉及有限。

此外,声音能量模型的讨论偏重主观感知,对可量化的声音能量指标(如 LUFS 响度标准、动态范围测量)的整合讨论不足。此外,他假设声音设计师有完整的混音环境,对独立创作者在耳机/笔记本音箱上的能量判断策略覆盖较少。

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 Sound Design Energy Model AI skill do?

Four-layer sound energy transformation model for film: physical, emotional, intellectual, ethical. Maps how sound travels from source to audience across technical, dramatic, aesthetic, and spiritual dimensions.

Why use Sound Design Energy Model on TypingMind?

Because you install it once and use it with any model. Sound Design Energy Model 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 Sound Design Energy Model in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/geegl/directorskills/tree/main/output/books/sound-design/sound-design-energy-model. 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 Sound Design Energy Model?

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 Sound Design Energy Model?

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

Is the Sound Design Energy Model AI skill free?

Yes. It is published on GitHub by geegl 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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