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AI科幻 设计标题

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lornshrimp
AI科幻-设计标题

用于【AI科幻】题材下的书名设计、筛选、重排与多平台适配。作为题材包装层、兼容入口与路由层,负责保留AI科幻入口名,补充都市现实压迫、数据痕迹常、技术切口与系统性危险感,并明确要求优先强制加载并使用 `通用-设计标题`。支持今日头条平台。

Overview

Publisherlornshrimp
RepositoryLorn.NovelWriteSkills
Skill nameAI科幻-设计标题
Stars
242
Forks
42
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

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

Installation

Install the AI科幻 设计标题 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/lornshrimp/Lorn.NovelWriteSkills/tree/main/AI科幻/skills/AI科幻-设计标题
  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.

Use it in TypingMind

Enable AI科幻 设计标题 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 AI科幻 设计标题 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 AI科幻 设计标题 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.

AI科幻-设计标题

这是题材包装层、兼容入口与路由层。

对应通用 Skill

  • 通用-设计标题

强制要求

  • 不得绕过 通用-设计标题 另写一套平行共性规则。
  • 引用通用能力时只按名称引用,不写路径。

本层职责

  • 保留“AI科幻-设计标题”这一题材入口名。
  • 将书名设计的共性骨架路由到 通用-设计标题。
  • 补充AI科幻题材下的技术切口、数据痕迹常、系统摩擦、数字压迫感与长期谜团承诺。
  • 在“全书名 / 分部名 / 分卷名”分层命名中,补充AI科幻语境下的层级约束:
    • 分部名侧重阶段谜团与阶段真相推进
    • 分卷名侧重当前卷技术事件/事件引擎、数据痕迹点或身份反转
  • 在需要校准题材定位或故事主轴时,先把命名任务接到 AI科幻-设计题材定位框架、AI科幻-设计故事面,再回到本技能收口。

继续读取的题材 references

  • references/题材书名补充规则.md
  • references/各平台题材化书名补丁.md

常见触发词 / 用户说法速查

  • 帮我起一个AI科幻书名
  • 这本AI科幻该叫什么
  • 给我一组更像AI科幻的标题
  • 书名要有数据痕迹和数字压迫感
  • 帮我筛掉不够题材化的书名

何时使用

  • 为AI科幻全书、分部、分卷或多平台版本设计标题。
  • 重排已有书名方案,强化技术切口、异常数据与系统性危险感。
  • 在题材定位或故事面已明确后,为命名做最终收口。

分层命名题材补丁(新增)

  • 若任务是“只做分部名”,分部名称要体现阶段谜面,不得退化为空洞情绪短句。
  • 若任务是“只做分卷名”,分卷名称要能映射当前卷的关键冲突与数据推进,不得写成章节小标题。
  • 若任务是“全书 + 分部 + 分卷”一体设计,必须检查三层一致性:
    • 总书名承诺长期悬疑主命题
    • 分部名承诺阶段谜团与阶段回报
    • 分卷名承诺当前卷推进钩子与风险升级

不适用情形

  • 只写内容简介、推荐文案或章节标题。
  • 只做平台输出,不改作品级命名。

强制要求

  • 命中本技能时,必须优先强制加载当前题材 Skill 与 通用-设计标题。
  • 书名要让读者一眼认出这是AI科幻,而不是纯科技推理、纯社会派或纯民俗惊悚。
  • 优先考虑“职业/身份 + 反常”“数据痕迹编号 + 异常”“数字空间 + 失真”“系统/规则 + 反噬”等命名方向。
  • 标题必须能支撑系列级长期传播,不得把单一技术事件钉子句误当成全书总书名。
  • 分层命名时,分部名与分卷名必须同时保留“谜面吸引力 + 可兑现回报”的双约束,禁止只给悬念不给兑现路径。

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 AI科幻 设计标题 AI skill do?

用于【AI科幻】题材下的书名设计、筛选、重排与多平台适配。作为题材包装层、兼容入口与路由层,负责保留AI科幻入口名,补充都市现实压迫、数据痕迹常、技术切口与系统性危险感,并明确要求优先强制加载并使用 `通用-设计标题`。支持今日头条平台。

Why use AI科幻 设计标题 on TypingMind?

Because you install it once and use it with any model. AI科幻 设计标题 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 AI科幻 设计标题 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/lornshrimp/Lorn.NovelWriteSkills/tree/main/AI科幻/skills/AI科幻-设计标题. 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 AI科幻 设计标题?

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 AI科幻 设计标题?

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

Is the AI科幻 设计标题 AI skill free?

It is published on GitHub by lornshrimp. Check the repository for licensing terms. 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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