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Story Design Logline

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geegl
story-design-logline

用户提到logline、一句话简介、故事概念、这个创意怎么样

Overview

Publishergeegl
Repositorydirectorskills
Skill namestory-design-logline
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 Story Design Logline 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/story-design/story-design-logline
  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/story-design/story-design-logline .claude/skills/story-design-logline
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Story Design Logline 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 Story Design Logline 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 Story Design Logline 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.

R — 原文 (Reading)

检查你的概念，确保它真的满足《救猫咪》中概述的成功 logline 的四个要素。一个 logline 必须包含：(1) 一个形容词描述主角；(2) 一个动词描述主角做什么；(3) 一个"坏人"或对手。如果你的 logline 缺少这些，它就不会引起共鸣。

— Blake Snyder, Save the Cat! Strikes Back, ~p.12

I — 方法论骨架 (Interpretation)

Logline 是故事的'电梯演讲'——一句话说清你的故事是什么。Blake Snyder 的 logline 公式是：[形容词] + [主角] + [ ironic situation ]。核心要求是'irony'（反讽）——主角的处境必须与预期相反，这种反差就是故事的'hook'。

4+4公式：前4个词介绍主角和处境，后4个词展示反讽转折。例如：'An uptight lawyer must defend a free-spirited prostitute'——前半建立预期，后半打破预期。

独特价值：如果 logline 不够 ironic，说明概念本身不够强——这是在写剧本之前就能发现的问题。

A1 — 书中的应用 (Past Application)

案例 1

  • 问题: 如何在商业故事中应用此方法论
  • 方法论的使用: Evan Almighty 的 logline 问题：'Modern-day politician builds an ark'——概念有趣但缺乏足够反讽。Bruce Almighty 的 logline 更强：'God gives His powers to a regular guy'——'regular guy'和'God's powers'形成强烈反讽。Blake 认为这个概念差异可能决定了两部电影的成败。
  • 结论: 一个 logline 如果不能在 10 秒内让人产生兴趣，说明概念本身有问题——不是表达问题，是想法问题
  • 结果: 故事获得了清晰的结构和情感弧线

案例 2: 《盗梦空间》的logline测试

  • 问题: 如何用logline检验复杂概念是否可行
  • 方法论的使用: 《盗梦空间》的logline是：'一个能进入别人梦境的盗贼被雇来在目标脑中植入一个想法'——'能进入梦境'与'植入想法'形成强烈反讽（偷东西的人变成了送东西的人）。Blake Snyder指出，如果logline的irony不够强，观众不会理解'进入梦境'这个复杂设定的必要性
  • 结论: 越复杂的故事概念越需要强irony的logline来证明其存在的合理性
  • 结果: logline的反讽结构帮助观众快速理解了高概念设定的核心吸引力

A2 — 触发场景 (Future Trigger) ★

用户会在什么情境下需要这个 skill?

  1. logline怎么写
  2. 一句话简介
  3. 故事概念怎么评估

语言信号 (用户的话里出现这些就应激活)

  • "logline"
  • "一句话简介"
  • "故事概念"
  • "创意评估"
  • "电梯演讲"

与相邻 skill 的区分

  • 与 story-design-beat-sheet 的区别: beat-sheet 是整体15节拍框架，本 skill 聚焦特定方法论
  • 与 story-design-genres 的区别: genres 决定'是什么类型'，本 skill 决定'怎么操作'

E — 可执行步骤 (Execution)

当 skill 被激活后, agent 应按以下步骤执行:

  1. 用4+4公式写出初稿

    • 完成标准: 前4个词介绍主角和处境，后4个词展示反讽转折。完成标准：能用一句话说清'谁+什么处境+什么反讽'

  2. 检查 irony 是否足够

    • 完成标准: 问自己：这个反讽够强烈吗？'uptight lawyer defends prostitute'比'lawyer defends client'强100倍
    • 判停条件: 若核心条件不满足，则回到步骤1重新评估

  3. 用 logline 测试概念可行性

    • 完成标准: 如果 logline 不够 ironic，说明概念本身不够强——在写剧本之前就要发现这个问题

B — 边界 (Boundary) ★

不要在以下情况使用此 skill

  • 不要在概念确定前就开始写剧本——logline 是概念的终极测试
  • 不要写没有 irony 的 logline——'A detective solves a murder case' 不是 logline

作者在书中警告的失败模式

  • Evan Almighty 的 logline 缺乏足够 irony——'politician builds ark'有趣但不够强
  • 标题必须说它是什么——'Redemption' 作为标题太抽象，观众不知道这是什么故事

作者的盲点

作者假设所有好故事都能用一句话说清，但某些复杂叙事（如《盗梦空间》）的 logline 可能需要更多铺垫。此外，作者的 irony 标准偏商业片，艺术电影的概念可能不以反讽为核心。

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 Story Design Logline AI skill do?

用户提到logline、一句话简介、故事概念、这个创意怎么样

Why use Story Design Logline on TypingMind?

Because you install it once and use it with any model. Story Design Logline 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 Story Design Logline in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/geegl/directorskills/tree/main/output/books/story-design/story-design-logline. 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 Story Design Logline?

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 Story Design Logline?

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

Is the Story Design Logline 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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