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Scene Transition Weather Contrast

Community
geegl
scene-transition-weather-contrast

用户提到天气、场景天气、天气配合情绪、天气对比

Overview

Publishergeegl
Repositorydirectorskills
Skill namescene-transition-weather-contrast
Stars
68
Forks
7
Bundled files
1
LicenseMIT
Links
Skill sourceRepository
  • 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 Scene Transition Weather Contrast 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/scene-transitions/scene-transition-weather-contrast
  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/scene-transitions/scene-transition-weather-contrast .claude/skills/scene-transition-weather-contrast
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Scene Transition Weather Contrast 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 Scene Transition Weather Contrast 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 Scene Transition Weather Contrast 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.

天气不必配合情绪

R — 原文 (Reading)

希区柯克的做法旨在打破类型片的陈词滥调，他不会在狂风雷暴里制造悬疑。在《西北偏北》中，他把男主角安置在晴空万里的平原上，以玉米地制造悬疑。这说明了你不一定要使用观众期待的设定，选择矛盾的设定能够增加意想不到的张力和兴奋。

— Jeffrey Michael Bays, 第5章, p.89-92

I — 方法论骨架 (Interpretation)

传统智慧：人物愤怒时狂风大雨，人物快乐时晴空万里。但这是陈词滥调。天气不必配合情绪——反直觉的天气选择反而能增加张力。

三种天气对比策略：

  1. 对比: 阳光下的恐怖比暴风雨中的恐怖更令人不安（希区柯克式）
  2. 强迫: 雨天迫使人物做他们平时不会做的事情
  3. 反讽: 快乐场景放在阴天里创造反讽效果

关键洞察：天气是场景转换中最容易被忽视但最有效的对立维度之一。观众已经习惯了"天气=情绪"的公式，打破这个公式本身就是一种张力。

A1 — 书中的应用 (Past Application)

案例: 《西北偏北》的晴天悬疑

  • 问题: 如何在开阔平原上制造悬疑？
  • 方法论的使用: 希区柯克选择晴空万里的天气——与观众期待的"悬疑=阴暗"完全相反。
  • 结论: 晴天比阴天更令人不安，因为观众的预期被打破。
  • 结果: 成为影史上最经典的悬疑场景之一。

案例 2: 《闪灵》的晴天恐怖

  • 问题: 如何在明亮的酒店走廊中制造恐怖感
  • 方法论的使用: 库布里克故意选择明亮、对称、干净的酒店内部作为恐怖发生的场所——与观众期待的'恐怖=阴暗'完全相反。Danny骑三轮车穿过走廊的场景光线充足，但正是这种'不正常的明亮'让观众感到不安
  • 结论: 阳光下的恐怖比黑暗中的恐怖更令人不安，因为它打破了观众的安全公式
  • 结果: 明亮走廊成为恐怖片中最具辨识度的场景之一

A2 — 触发场景 (Future Trigger) ★

用户会在什么情境下需要这个 skill?

  1. 用户在选择场景天气——"这个场景用什么天气"
  2. 用户觉得天气选择太套路——"天气配合情绪太老套了"
  3. 用户想用天气制造对比——"怎么用天气变化增强转换"

语言信号

  • "天气"、"场景天气"、"天气配合情绪"
  • "天气对比"、"天气变化"

E — 可执行步骤 (Execution)

  1. 确定场景的情感基调
    • 完成标准: 用一个词说清场景的核心情绪
  2. 选择天气策略: 配合（安全但套路）vs 对比（有风险但有力）vs 反讽（创意但需要精准）
    • 完成标准: 天气策略与叙事意图匹配
  3. 在转换瞬间利用天气变化: 天气从A到B的变化本身就是一种二元对立

    • 完成标准: 天气变化增强了场景转换的情感效果

    • 🔴 判停条件: 若天气对比过于直白（如伤心时下雨），回到步骤2改为对比策略或反讽策略；若天气变化缺乏铺垫导致观众困惑，在前一场景中通过窗外、对话等方式暗示天气变化；若天气选择与类型片冲突（如灾难片不适合做天气对比），改用配合策略或选择其他对立维度

B — 边界 (Boundary) ★

不要在以下情况使用此 skill

  • 天气是故事的核心元素——如灾难片不适合用天气做对比
  • 不要用天气对比来替代真正的情感冲突——天气只是辅助工具

作者在书中警告的失败模式

  • 天气对比过于直白——伤心时下雨是陈词滥调
  • 天气变化缺乏铺垫——突然从晴天变暴雨会让观众困惑

作者的盲点

作者假设天气能有效传达情绪，但在绿幕时代观众对天气的情感反应可能减弱

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 Scene Transition Weather Contrast AI skill do?

用户提到天气、场景天气、天气配合情绪、天气对比

Why use Scene Transition Weather Contrast on TypingMind?

Because you install it once and use it with any model. Scene Transition Weather Contrast 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 Scene Transition Weather Contrast in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/geegl/directorskills/tree/main/output/books/scene-transitions/scene-transition-weather-contrast. 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 Scene Transition Weather Contrast?

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 Scene Transition Weather Contrast?

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

Is the Scene Transition Weather Contrast 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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