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AI科幻 执行微空间受限场景

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lornshrimp
AI科幻-执行微空间受限场景

用于【AI科幻】题材下的微空间或受限空间场景施工。作为题材包装层、兼容入口与路由层,负责保留AI科幻标准入口名、补充受限数字空间、技术针脚、规则代价与数据痕迹回收口径,并明确要求优先强制加载并使用 `通用-执行微空间受限场景`。关键词:AI科幻微空间、系统机房、电梯井、系统监控室、数据存储区、贴脸技术惊悚。

Overview

Publisherlornshrimp
RepositoryLorn.NovelWriteSkills
Skill nameAI科幻-执行微空间受限场景
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 执行微空间受限场景 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-执行微空间受限场景
  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 执行微空间受限场景 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 执行微空间受限场景 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 执行微空间受限场景 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-执行微空间受限场景

这是题材包装层、兼容入口与路由层。

对应通用 Skill

  • 通用-执行微空间受限场景

本层职责

  • 保留“AI科幻-执行微空间受限场景”这一标准入口名。
  • 将微空间 / 受限空间场景施工的共性骨架路由到 通用-执行微空间受限场景。
  • 补充AI科幻题材下的城市受限空间、技术动作、技术针脚、规则代价与数据痕载体口径。

继续读取的题材 references

  • references/README.md
  • references/都市微空间异化手法与禁行项.md
  • references/控制卡压进微空间镜头的施工桥.md

常见触发词 / 用户说法速查

  • 楼道 / 电梯这场怎么更吓人
  • 帮我把AI科幻微空间写得更贴脸
  • 这段受限空间只有氛围没有后果
  • 把微反常压进这场戏里
  • 给我一个可复盘的城市受限空间场景

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-执行微空间受限场景。
  • 由于 通用-执行微空间受限场景 是专项子 Skill,执行时必须先加载并使用 AI科幻-执行场景单元,再进入当前专项场景处理。
  • 当前题材 Skill 负责题材补充口径与裁判边界,通用-执行微空间受限场景 负责微空间专项工法与共性流程。
  • 不得绕过 通用-执行微空间受限场景 在本文件里恢复一整套平行共性规则。
  • 引用通用能力时只按名称引用,不写路径。

题材补充方向

  • 系统机房、电梯井、系统监控室、隔离区、数据存储区、中心服务器区、机房侧厅等空间,优先先写其"正常数字功能",再写哪一处流程、设备或数据流轻微失真。
  • AI科幻题材下的最低交付口径是:微反常 → 动作选择 → 后果升级 → 数据痕迹收,不能只写到“主角感觉不对劲”。
  • 微空间里的高价值异常优先来自:系统准入控制电梯停靠、值班制度、灯光、监控、工牌、回执、排队与窗口口径。
  • 若上游已有控制卡,优先把其中的反常信号、系统阻力和章末危险升级压进微空间镜头,而不是现场另起一套抽象惊悚设计。

微空间施工最低交付

  • 空间正常秩序已写清。
  • 第一处偏差可被角色动作验证。
  • 验证动作立刻带来后果、风险或数据痕迹
  • 至少一处技术针脚进入可复盘链条,而不是只做氛围摆件。

禁止事项

  • 不要把题材骨架写成 通用-执行微空间受限场景 的平行副本。
  • 不要省略 AI科幻-执行场景单元 与 通用-执行微空间受限场景 的加载关系。
  • 不要把微空间惊悚写成只剩气氛词的静态摆设。

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 执行微空间受限场景 AI skill do?

用于【AI科幻】题材下的微空间或受限空间场景施工。作为题材包装层、兼容入口与路由层,负责保留AI科幻标准入口名、补充受限数字空间、技术针脚、规则代价与数据痕迹回收口径,并明确要求优先强制加载并使用 `通用-执行微空间受限场景`。关键词:AI科幻微空间、系统机房、电梯井、系统监控室、数据存储区、贴脸技术惊悚。

Why use AI科幻 执行微空间受限场景 on TypingMind?

Because you install it once and use it with any model. AI科幻 执行微空间受限场景 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 执行微空间受限场景 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-执行微空间受限场景. 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 执行微空间受限场景?

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 执行微空间受限场景?

As many as you like. As long as a model supports skills, you can use AI科幻 执行微空间受限场景 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the AI科幻 执行微空间受限场景 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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