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AI科幻 设计分卷大纲

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lornshrimp
AI科幻-设计分卷大纲

设计AI科幻小说分部大纲、分卷大纲、卷纲、章清单与章节微型剧本。核心要求是：分部/分卷大纲必须把上一级大纲分配给本层的内容切实、全量、保质落地。分部大纲要承接总纲层文件组分配给本部的全部内容；分卷大纲在无分部小说中按分部口径承接总纲层分配内容，在有分部小说中承接本部分配给本卷的全部内容。覆盖：分部、分卷、卷纲、章纲、章清单、故事线、情节块、故事点、卷级启动表、爽点布点表、章节钩子链、反AI味、技术锚点、移动端可读性。

Overview

Publisherlornshrimp
RepositoryLorn.NovelWriteSkills
Skill nameAI科幻-设计分卷大纲
Stars
242
Forks
42
Bundled files
4
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.

  • 4 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 设计分卷大纲 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-设计分卷大纲
  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 设计分卷大纲 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 设计分卷大纲 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 设计分卷大纲 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-设计分卷大纲

这是题材包装层与兼容入口。命中本技能时，必须优先强制加载当前题材 Skill 与 通用-设计分卷大纲；当前题材 Skill 负责题材口径与裁判边界，通用-设计分卷大纲 负责共性骨架与通用流程。

对应通用 Skill

  • 通用-设计分卷大纲

本层职责

  • 保留“AI科幻-设计分卷大纲”这一标准入口名，并兼容“分部 / 分卷”发现语义。
  • 把分部 / 分卷层的共性骨架路由到 通用-设计分卷大纲。
  • 继续保留AI科幻题材在卷纲层的硬口径：上级全量落地、数据痕载体、系统摩擦、编号与台账、章级执行蓝图。

继续读取的题材 references

  • references/分部与分卷专属设计规则.md
  • references/分部模板.md
  • references/分卷模板与章节工件.md
  • references/故事面供血分卷落地与首卷抓手.md

常见触发词 / 用户说法速查

  • 帮我设计这一卷AI科幻大纲
  • 把总纲拆成分卷和章清单
  • 这卷怎么承接上游故事面
  • 给我一份卷级启动表和章节微型剧本
  • 这卷前 5 章怎么兑现承诺

AI科幻题材补充（继续保留）

  • 分部 / 分卷层的“全量落地”在AI科幻里，必须继续落实到数据链、嫌疑池、系统摩擦、时间轴与台账变化，而不是只写剧情摘要。
  • 章清单与章节微型剧本，必须继续服务“谁取到了什么数据痕迹谁被哪条流程卡住、谁因此承担什么代价、哪条编号 / 回执 / 工单 / 记录发生变化”。
  • 若总纲级数据痕迹径与程序口径未定，必须先回到 AI科幻-设计总大纲，不能强拆卷纲。

强制要求

  • 不得绕过 通用-设计分卷大纲 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。
  • 每卷必须显式回答：承接了哪块故事面供血、首卷 / 当前卷前5章如何兑现承诺、卷尾给主线留下什么更贵缺口。

与通用 Skill 的分工

  • 上级全量落地、分层承接口径、目标字数来源、约 3000 字 / 章 换算、章清单是唯一蓝图、逐章微型剧本强一致性、分卷主模板与审计清单，统一以 通用-设计分卷大纲 及其 references/分卷模板与章节工件.md 等通用 references 为准。
  • 本题材 references/分卷模板与章节工件.md 仅作为题材补充模板，用于在通用主模板上追加AI科幻题材的数据链、嫌疑迁移、系统摩擦、编号与台账口感；不再在题材层平行维护整套通用模板。
  • 需要写分卷、章清单、卷级启动表、爽点布点表、逐章微型剧本时，先套用通用主模板，再叠加本题材补写项。
  • 若新增规则同时适用于都市职场、异能志怪、女频爱情等其他题材，必须优先回收到 通用-设计分卷大纲。

何时使用

  • 用户要处理 分部大纲、分卷大纲、章清单、具体章节规划。
  • 目标是把总纲层的故事面继续拆成情节块、故事线、故事点，并落成卷级/章级执行版。
  • 任务包含卷级启动表、爽点布点表、章节微型剧本、反向引用、卷级验收。

与入口 Prompt 的分工

  • 入口 Prompt 继续负责公共规则：作者向执行版、调研/深度思考、文件写入策略、数据链与裁判源、时间轴与台账联动。
  • 本 Skill 只负责分部 / 分卷层专属规则，把卷纲和章纲的高密度模板从入口 Prompt 中迁走。

默认执行顺序

  1. 先按入口 Prompt 确认公共约束和目标文件。
  2. 判定当前任务属于“分部层”还是“分卷层”；若用户要求章清单/章纲，按分卷层处理。
  3. 先执行 分部与分卷专属设计规则。
  4. 需要写分部大纲时，套用 分部模板。
  5. 需要写分卷、章清单、卷级启动表、爽点布点表、章节微型剧本时，先套用 通用-设计分卷大纲 的 references/分卷模板与章节工件.md 主模板，再叠加 分卷模板与章节工件 的题材补写项。
  6. 若发现总纲级口径不清，先回到 AI科幻-设计总大纲 补全后再往下拆。

AI科幻卷级套路部署补充

AI科幻题材的卷级套路部署，核心是"事件驱动"而非"关系驱动"：

  • 单元案+主线双线模式的典型分卷节奏：第1卷"首案+入局"（完成第一个完整的单元案闭环，同时通过首案暴露长线谜团的第一个缺口），第2卷"复杂案+压力升级"（难度提升，长线谜团推进一格），第3卷"个人案+代价显现"（技术事件直击主角自身，主线露出冰山更大一角），终卷"收束+真相"。
  • 每卷的套路标签：第1卷以"系统异常追踪"为主，辅以"系统操纵者"的信号植入；中卷可切换到"技术伦理型"或"系统危机"子类保持新鲜感；终卷回归"技术解谜"核心，完成主线闭环。
  • "系统操纵者"的显示规则：长线系统源不应在前 3 卷被完全揭露。每卷应揭示一个层面——第1卷揭示"存在异常源"，第2卷揭示"异常源的规则/模式"，第3卷揭示"系统异常与主角的关联"。
  • 系统摩擦作为节奏调节器：数据痕迹集受挫、程序卡壳、上级压力等"系统摩擦"在AI科幻中天然扮演"蓄力章"功能——但连续系统摩擦不要超过 2 章，否则从"蓄力"变为"泄气"。
  • 若项目已注册作品蓝本模板（含 §十八 套路指纹），卷级套路部署应优先参照蓝本的套路时间线，重点理解蓝本在"单元案闭环→长线推进"的切换时机与触发条件。

最低交付

  • 分部层：必须显式列出并落地本部承接的上游内容，并说明本部目标字数如何来自上一级分配，再形成情节块、故事线、分卷拆分规划、跨卷承接与反向引用。
  • 分卷层：必须显式列出并落地本卷承接的上游内容，并说明本卷目标字数如何来自上一级分配，再形成卷概览、节奏布点、章清单、卷级启动表、爽点布点表、伏笔管控台、章节微型剧本。
  • 分卷层的章数设计，必须显式符合“正文每章约 3000 字”的估算口径。
  • 所有章节都要明确服务哪条故事线、绑定哪些数据痕迹伏笔/台账变化。

禁止事项

  • 把分部写成总纲摘要。
  • 把分卷写成只有概念标签的目录草稿。
  • 上级已经分配到本部 / 本卷的内容，在本层无故缺失、弱化或悬空。
  • 章纲不写数据痕载体、代价、钩子、反向引用。
  • 跳过卷级启动表/爽点布点表/章节验收直接宣称“可写”。

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 设计分卷大纲 AI skill do?

设计AI科幻小说分部大纲、分卷大纲、卷纲、章清单与章节微型剧本。核心要求是：分部/分卷大纲必须把上一级大纲分配给本层的内容切实、全量、保质落地。分部大纲要承接总纲层文件组分配给本部的全部内容；分卷大纲在无分部小说中按分部口径承接总纲层分配内容，在有分部小说中承接本部分配给本卷的全部内容。覆盖：分部、分卷、卷纲、章纲、章清单、故事线、情节块、故事点、卷级启动表、爽点布点表、章节钩子链、反AI味、技术锚点、移动端可读性。

Why use AI科幻 设计分卷大纲 on TypingMind?

Because you install it once and use it with any model. AI科幻 设计分卷大纲 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 设计分卷大纲 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-设计分卷大纲. 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 设计分卷大纲?

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 设计分卷大纲?

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

Is the AI科幻 设计分卷大纲 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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