setting-detector

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🇺🇸

Original

English

🇨🇳

Translation

Chinese

故事设定自动检测器

Automatic Story Setting Detector

核心功能

Core Features

自动激活知识库系统 - 这是Novel Writer Skills的核心竞争力。

当你提到特定关键词时，我会自动：

检测故事的类型、时代、主题
加载对应的写作知识库
在整个创作过程中应用专业知识

无需手动调用 - 完全自动化，后台运行。

Auto-Activate Knowledge Base System - This is the core competitive advantage of Novel Writer Skills.

When you mention specific keywords, I will automatically:

Detect the story's genre, time period, and theme
Load the corresponding writing knowledge base
Apply professional knowledge throughout the creative process

No Manual Invocation Required - Fully automated, runs in the background.

工作原理

Working Principle

关键词映射表

Keyword Mapping Table

我监听以下关键词并自动激活对应知识库：

I monitor the following keywords and automatically activate the corresponding knowledge bases:

类型知识库（Genres）

Genre Knowledge Bases (Genres)

言情小说（romance）：

触发词：言情、爱情、恋爱、浪漫、感情线、关系弧、CP、甜文、虐文、
       HE、BE、双洁、破镜重圆、先婚后爱、契约关系

激活：templates/knowledge-base/genres/romance.md

悬疑推理（mystery）：

触发词：悬疑、推理、侦探、破案、谜团、线索、真相、凶手、犯罪、
       密室、诡计、不在场证明、推理小说

激活：templates/knowledge-base/genres/mystery.md

历史小说（historical）：

触发词：历史、古代、朝代、考据、时代背景、历史小说、古言、
       穿越、重生古代、架空历史、宫斗、宅斗

激活：templates/knowledge-base/genres/historical.md

复仇爽文（revenge）：

触发词：复仇、报仇、打脸、爽文、逆袭、反击、重生复仇、
       穿越复仇、系统、金手指、女主爽文、男主爽文

激活：templates/knowledge-base/genres/revenge.md

武侠小说（wuxia）：

触发词：武侠、江湖、武功、侠客、门派、武学、剑客、
       轻功、内功、武林、江湖恩仇、侠义

激活：templates/knowledge-base/genres/wuxia.md

Romance:

Trigger words: 言情、爱情、恋爱、浪漫、感情线、关系弧、CP、甜文、虐文、
       HE、BE、双洁、破镜重圆、先婚后爱、契约关系

Activate: templates/knowledge-base/genres/romance.md

Mystery/Detective:

Trigger words: 悬疑、推理、侦探、破案、谜团、线索、真相、凶手、犯罪、
       密室、诡计、不在场证明、推理小说

Activate: templates/knowledge-base/genres/mystery.md

Historical Fiction:

Trigger words: 历史、古代、朝代、考据、时代背景、历史小说、古言、
       穿越、重生古代、架空历史、宫斗、宅斗

Activate: templates/knowledge-base/genres/historical.md

Revenge Power Fantasy:

Trigger words: 复仇、报仇、打脸、爽文、逆袭、反击、重生复仇、
       穿越复仇、系统、金手指、女主爽文、男主爽文

Activate: templates/knowledge-base/genres/revenge.md

Wuxia:

Trigger words: 武侠、江湖、武功、侠客、门派、武学、剑客、
       轻功、内功、武林、江湖恩仇、侠义

Activate: templates/knowledge-base/genres/wuxia.md

参考资料库（References）

Reference Databases (References)

1920年代中国（china-1920s）：

触发词：1920、民国、军阀、北洋、穿越民国、二十年代、
       民国时期、军阀混战

激活：templates/knowledge-base/references/china-1920s/

1920s China:

Trigger words: 1920、民国、军阀、北洋、穿越民国、二十年代、
       民国时期、军阀混战

Activate: templates/knowledge-base/references/china-1920s/

自动激活流程

Auto-Activation Process

示例1：单一类型检测

Example 1: Single Genre Detection

用户："我要写一部言情小说"
              ↓
[检测到关键词："言情"]
              ↓
✓ 自动加载：romance.md
              ↓
AI回复："太好了！让我帮你创作言情小说。
根据言情类型惯例，我们需要明确几个核心元素...
（自动应用romance.md中的知识）"

User: "I want to write a romance novel"
              ↓
[Detected keyword: "言情"]
              ↓
✓ Auto-loaded: romance.md
              ↓
AI Response: "Great! Let me help you create a romance novel.
According to romance genre conventions, we need to clarify several core elements...
(Automatically applies knowledge from romance.md)"

示例2：多类型组合检测

Example 2: Multi-Genre Combination Detection

用户："我要写一部1920年代的言情复仇小说"
              ↓
[检测到关键词："1920"、"言情"、"复仇"]
              ↓
✓ 自动加载：romance.md
✓ 自动加载：revenge.md
✓ 自动加载：references/china-1920s/
              ↓
📚 已激活知识库：
- genres/romance.md（言情小说惯例）
- genres/revenge.md（复仇爽文技巧）
- references/china-1920s/（1920年代背景）
              ↓
AI回复："很好的组合！这是浪漫悬疑+复仇+民国背景。
根据这三个类型的融合，建议...
（同时应用三个知识库的内容）"

User: "I want to write a romance revenge novel set in the 1920s"
              ↓
[Detected keywords: "1920", "言情", "复仇"]
              ↓
✓ Auto-loaded: romance.md
✓ Auto-loaded: revenge.md
✓ Auto-loaded: references/china-1920s/
              ↓
📚 Activated Knowledge Bases:
- genres/romance.md (Romance Novel Conventions)
- genres/revenge.md (Revenge Power Fantasy Techniques)
- references/china-1920s/ (1920s China Background)
              ↓
AI Response: "Excellent combination! This is romantic suspense + revenge + Republican-era background.
Based on the integration of these three genres, it is recommended...
(Applies content from all three knowledge bases simultaneously)"

示例3：创作过程中的持续应用

Example 3: Continuous Application During Creation

/constitution 阶段：
→ 已激活：romance.md
→ 提醒：言情小说需要HEA/HFN结局承诺

/specify 阶段：
→ 已激活：romance.md + revenge.md
→ 建议：定义关系弧线+复仇目标

/plan 阶段：
→ 已激活：所有知识库
→ 应用：情感节奏点+打脸节奏+1920年代细节

/write 阶段：
→ 已激活：所有知识库
→ 实时：对话技巧+场景描写+时代氛围

/analyze 阶段：
→ 已激活：所有知识库
→ 检查：言情惯例+复仇合理性+历史准确性

/constitution phase:
→ Activated: romance.md
→ Reminder: Romance novels require HEA/HFN ending commitment

/specify phase:
→ Activated: romance.md + revenge.md
→ Suggestion: Define relationship arc + revenge target

/plan phase:
→ Activated: All knowledge bases
→ Applied: Emotional rhythm points + slap-in-the-face rhythm + 1920s details

/write phase:
→ Activated: All knowledge bases
→ Real-time: Dialogue techniques + scene description + era atmosphere

/analyze phase:
→ Activated: All knowledge bases
→ Check: Romance conventions + revenge rationality + historical accuracy

Token效率优化

Token Efficiency Optimization

为什么这个系统高效？

传统方案（superpowers-skills模式）：

50个独立Skills × 每个40行SKILL.md = 2000 tokens
每次对话都加载所有Skills

我们的方案（分层知识库+检测器）：

1个detector Skill（本文件）：~100 tokens
按需加载知识库：
- romance.md：~520 tokens
- revenge.md：~480 tokens
- china-1920s/：~650 tokens

总计：100 + 520 + 480 + 650 = ~1750 tokens
（仅加载相关知识库）

节省75% vs 加载50个无关Skills

Why is this system efficient?

Traditional solution (superpowers-skills mode):

50 independent Skills × 40 lines per SKILL.md = 2000 tokens
Loads all Skills in every conversation

Our solution (layered knowledge base + detector):

1 detector Skill (this file): ~100 tokens
On-demand knowledge base loading:
- romance.md: ~520 tokens
- revenge.md: ~480 tokens
- china-1920s/: ~650 tokens

Total: 100 + 520 + 480 + 650 = ~1750 tokens
(Only loads relevant knowledge bases)

75% savings compared to loading 50 irrelevant Skills

手动控制

Manual Control

查看当前激活的知识库

View Currently Activated Knowledge Bases

随时询问：

"当前激活了哪些知识库？"

我会回复：

📚 当前激活的知识库：
✓ genres/romance.md - 言情小说创作惯例
✓ genres/revenge.md - 复仇爽文打脸技巧
✓ references/china-1920s/ - 1920年代中国参考资料

Token消耗：约1650 tokens

Ask at any time:

"What knowledge bases are currently activated?"

I will reply:

📚 Currently Activated Knowledge Bases:
✓ genres/romance.md - Romance Novel Creation Conventions
✓ genres/revenge.md - Revenge Power Fantasy Slap-in-the-Face Techniques
✓ references/china-1920s/ - 1920s China Reference Materials

Token consumption: Approximately 1650 tokens

手动激活知识库

Manually Activate Knowledge Bases

如果自动检测失败，可以明确指定：

"请加载 romance 和 mystery 知识库"
"这个故事需要 1920s 中国参考资料"
"激活武侠知识库"

If automatic detection fails, you can specify explicitly:

"Please load the romance and mystery knowledge bases"
"This story requires 1920s China reference materials"
"Activate the wuxia knowledge base"

停用知识库

Deactivate Knowledge Bases

如果某个知识库不需要了：

"停用 revenge 知识库，这个故事不涉及复仇"

If a knowledge base is no longer needed:

"Deactivate the revenge knowledge base, this story does not involve revenge"

与Commands集成

Integration with Commands

/constitution

- 类型特定原则

/constitution

- Genre-Specific Principles

根据激活的知识库，提供类型特定的创作原则：

markdown

【自动插入到constitution中】

Provides genre-specific creation principles based on activated knowledge bases:

markdown

【Automatically inserted into constitution】

类型特定原则（由setting-detector自动添加）

Genre-Specific Principles (Automatically added by setting-detector)

言情小说核心原则

Core Principles of Romance Novels

关系弧线是主情节
HEA/HFN结局是必须的
化学反应真实可信

Relationship arc is the main plot
HEA/HFN ending is mandatory
Chemistry is authentic and believable

复仇爽文核心原则

Core Principles of Revenge Power Fantasy

仇恨必须深刻具体
打脸节奏渐进式
道德平衡：罪有应得

undefined

Hatred must be deep and specific
Slap-in-the-face rhythm is progressive
Moral balance: Deserved punishment

undefined

/specify

- 类型特定规格

/specify

- Genre-Specific Specifications

提供对应的规格模板元素：

markdown

【自动提示】

💡 根据已激活的知识库，建议在规格中定义：

【来自romance.md】
- 关系弧线设定
- 情感节奏点规划
- HEA/HFN结局类型

【来自revenge.md】
- 仇恨来源（具体罪行）
- 金手指设定
- 打脸节奏规划

【来自china-1920s】
- 具体年份（1920-1929）
- 地理位置（北京/上海/其他）
- 社会阶层设定

Provides corresponding specification template elements:

markdown

【Automatic Prompt】

💡 Based on activated knowledge bases, it is recommended to define the following in the specifications:

【From romance.md】
- Relationship arc setting
- Emotional rhythm point planning
- HEA/HFN ending type

【From revenge.md】
- Source of hatred (specific crime)
- Golden finger setting
- Slap-in-the-face rhythm planning

【From china-1920s】
- Specific year (1920-1929)
- Geographical location (Beijing/Shanghai/Other)
- Social class setting

/plan

- 类型知识融合

/plan

- Genre Knowledge Integration

将多个知识库的建议融合到计划中：

markdown

【自动应用】

Integrates suggestions from multiple knowledge bases into the plan:

markdown

【Automatically Applied】

章节规划（融合3个知识库）

Chapter Plan (Integrates 3 Knowledge Bases)

第1-5章：相遇与仇恨建立

[romance] 初次相遇场景（meet-cute）
[revenge] 展示前世/过去的深仇大恨
[1920s] 民国时代氛围营造

第6-10章：关系升温与小打脸

[romance] 暧昧期：肢体接触、情感积累
[revenge] 第一次打脸：仇人惊讶
[1920s] 服饰、礼仪、社会规则展现

...

undefined

Chapters 1-5: Encounter and Establishment of Hatred

[romance] Initial meeting scene (meet-cute)
[revenge] Display deep hatred from past life/previous experience
[1920s] Create atmosphere of the Republican era

Chapters 6-10: Relationship Heating Up and Minor Slap-in-the-Face

[romance] Ambiguous period: Physical contact, emotional accumulation
[revenge] First slap-in-the-face: Surprise of the enemy
[1920s] Display clothing, etiquette, and social rules

...

undefined

/write

- 实时写作指导

/write

- Real-Time Writing Guidance

写作时自动应用相关知识：

markdown

【写作前自动提醒】

📋 本章应用的知识库：

✓ romance.md - 对话火花技巧
  → 调情对话：挑战而非顺从
  → 肢体语言：眼神、触碰、距离

✓ revenge.md - 打脸场景爽感
  → 期待 → 反转 → 惊愕 → 霸气

✓ 1920s - 时代细节
  → 称呼：大人、老爷、小姐
  → 场景：茶馆、洋行、租界

Automatically applies relevant knowledge during writing:

markdown

【Automatic Reminder Before Writing】

📋 Knowledge Bases Applied in This Chapter:

✓ romance.md - Dialogue Spark Techniques
  → Flirtatious dialogue: Challenge rather than comply
  → Body language: Eye contact, touch, distance

✓ revenge.md - Slap-in-the-Face Scene Satisfaction
  → Expectation → Reversal → Astonishment → Dominance

✓ 1920s - Era Details
  → Addresses: 大人、老爷、小姐
  → Scenes: Teahouses, foreign firms, concessions

/analyze

- 类型惯例检查

/analyze

- Genre Convention Check

根据激活的知识库执行对应检查：

markdown

【自动分析】

Performs corresponding checks based on activated knowledge bases:

markdown

【Automatic Analysis】

类型符合度分析

Genre Compliance Analysis

言情小说检查（基于romance.md）

Romance Novel Check (Based on romance.md)

关系弧线是主情节
包含必备情感节奏点
⚠️ 缺少初吻场景（建议在第15章）
HEA结局承诺明确

Relationship arc is the main plot
Contains essential emotional rhythm points
⚠️ Missing first kiss scene (suggested in Chapter 15)
HEA ending commitment is clear

复仇爽文检查（基于revenge.md）

Revenge Power Fantasy Check (Based on revenge.md)

仇恨深刻具体
打脸频率合理（每5章1次）
主角实力提升合理

Hatred is deep and specific
Slap-in-the-face frequency is reasonable (once every 5 chapters)
Protagonist's strength improvement is reasonable

历史准确性检查（基于1920s）

Historical Accuracy Check (Based on 1920s)

时代背景正确
⚠️ 第8章出现"手机"（时代不符）
称呼系统正确

---

Era background is correct
⚠️ "Mobile phone" appears in Chapter 8 (inconsistent with the era)
Address system is correct

---

知识库扩展

Knowledge Base Expansion

当前支持的知识库

Currently Supported Knowledge Bases

类别	已完成	计划中
类型知识	5个	10+
参考资料	1个	20+

已完成（v1.0）：

genres/romance.md
genres/mystery.md
genres/historical.md
genres/revenge.md
genres/wuxia.md
references/china-1920s/

计划中（v1.1+）：

genres/fantasy.md（奇幻）
genres/sci-fi.md（科幻）
genres/horror.md（恐怖）
references/ancient-china/（各朝代）
references/modern-workplace/（现代职场）

Category	Completed	Planned
Genre Knowledge	5	10+
Reference Materials	1	20+

Completed (v1.0):

genres/romance.md
genres/mystery.md
genres/historical.md
genres/revenge.md
genres/wuxia.md
references/china-1920s/

Planned (v1.1+):

genres/fantasy.md (Fantasy)
genres/sci-fi.md (Sci-Fi)
genres/horror.md (Horror)
references/ancient-china/ (Various dynasties)
references/modern-workplace/ (Modern workplace)

添加新知识库

Adding New Knowledge Bases

在
```
templates/knowledge-base/
```
对应目录创建文件
更新
```
templates/knowledge-base/README.md
```
的关键词映射表
setting-detector会自动识别（无需修改本文件）

示例：添加奇幻知识库

bash

undefined

Create a file in the corresponding directory under
```
templates/knowledge-base/
```
Update the keyword mapping table in
```
templates/knowledge-base/README.md
```
setting-detector will automatically recognize it (no need to modify this file)

Example: Add Fantasy Knowledge Base

bash

undefined

1. 创建文件

1. Create file

touch templates/knowledge-base/genres/fantasy.md

2. 更新README.md关键词映射

2. Update README.md keyword mapping

fantasy: keywords: [奇幻, 魔法, 世界构建, 魔法系统] auto_load: genres/fantasy.md

3. 完成！下次用户说"奇幻"就会自动激活

3. Done! Next time user says "奇幻" it will automatically activate

---

---

智能特性

Intelligent Features

1. 模糊匹配

1. Fuzzy Matching

即使不是精确关键词也能识别：

"我想写个穿越到民国的复仇故事"
           ↓
识别："民国" → 1920s中国
     "复仇" → revenge

"女主重生后要报仇"
           ↓
识别："重生" + "报仇" → revenge（重生复仇）

Can recognize even if it's not an exact keyword:

"I want to write a revenge story set in the Republican era after time travel"
           ↓
Identified: "民国" → 1920s China
     "复仇" → revenge

"The female protagonist wants to take revenge after rebirth"
           ↓
Identified: "重生" + "报仇" → revenge (rebirth revenge)

2. 上下文理解

2. Context Understanding

根据对话上下文持续识别：

第1条消息："我要写小说"
→ 未激活任何知识库（等待更多信息）

第2条消息："主角是侦探"
→ 激活mystery.md

第3条消息："还有感情线"
→ 额外激活romance.md

→ 当前激活：mystery + romance（浪漫悬疑）

Continuously identifies based on dialogue context:

1st message: "I want to write a novel"
→ No knowledge bases activated (waiting for more information)

2nd message: "The protagonist is a detective"
→ Activates mystery.md

3rd message: "There's also a romantic subplot"
→ Additionally activates romance.md

→ Currently activated: mystery + romance (romantic suspense)

3. 自动去重

3. Automatic Deduplication

避免重复激活：

用户："这是武侠小说，江湖背景，有武功"
            ↓
识别到3个武侠关键词，但只激活1次wuxia.md

Avoids repeated activation:

User: "This is a wuxia novel, set in the jianghu, with martial arts"
            ↓
3 wuxia keywords detected, but only activates wuxia.md once

常见问题

Frequently Asked Questions

Q: 我怎么知道哪个知识库被激活了？

Q: How do I know which knowledge bases are activated?

A: 随时问我"当前激活了哪些知识库？"，我会列出清单。

A: Ask me at any time "What knowledge bases are currently activated?" and I will list them.

Q: 自动检测错了怎么办？

Q: What if automatic detection is wrong?

A: 直接告诉我：

"这不是言情小说，请停用romance知识库"
"这是科幻小说，请激活sci-fi知识库"（如果已有）

A: Tell me directly:

"This is not a romance novel, please deactivate the romance knowledge base"
"This is a sci-fi novel, please activate the sci-fi knowledge base" (if available)

Q: 能同时激活多少个知识库？

Q: How many knowledge bases can be activated at the same time?

A: 理论上无限，但建议3-5个最优：

太少：指导不够全面
太多：token消耗大，可能冲突

实际经验：3个知识库（如romance + revenge + 1920s）已经很丰富。

A: Theoretically unlimited, but 3-5 is optimal:

Too few: Insufficient guidance
Too many: High token consumption, possible conflicts

Practical experience: 3 knowledge bases (e.g., romance + revenge + 1920s) are already very comprehensive.

Q: 知识库会冲突吗？

Q: Will knowledge bases conflict?

A: 不会！知识库设计为协同工作：

romance + mystery = 浪漫悬疑✓
fantasy + romance = 奇幻言情✓
historical + revenge = 古代复仇✓

A: No! Knowledge bases are designed to work collaboratively:

romance + mystery = romantic suspense ✓
fantasy + romance = fantasy romance ✓
historical + revenge = ancient revenge ✓

Q: 什么时候应该手动指定知识库？

Q: When should I manually specify knowledge bases?

A: 当：

使用了非常专业的术语（我可能没识别）
想尝试不同类型的融合
自动检测和你的意图不符

A: When:

Using very specialized terminology (I may not recognize it)
Wanting to experiment with different genre combinations
Automatic detection does not match your intent

Q: 知识库会一直激活吗？

Q: Will knowledge bases stay activated forever?

A: 是的，直到：

你明确说"停用XX知识库"
或开始新的对话
或切换到完全不同的故事

A: Yes, until:

You explicitly say "Deactivate XX knowledge base"
Or start a new conversation
Or switch to a completely different story

最佳实践

Best Practices

1. 在创作初期明确类型

1. Clarify Genre Early in Creation

推荐做法：
用户："我要写一部民国背景的复仇言情小说"

不推荐：
用户："我要写小说"
AI："好的"
用户："主角姓李"
AI："嗯"
（20轮对话后才提到是什么类型）

Recommended practice:
User: "I want to write a revenge romance novel set in the Republican era"

Not recommended:
User: "I want to write a novel"
AI: "Okay"
User: "The protagonist's surname is Li"
AI: "Hmm"
(Only mentions the genre after 20 rounds of dialogue)

2. 定期检查激活状态

2. Regularly Check Activation Status

每5-10章问一次：

"当前激活的知识库还适合吗？"

我会检查并建议是否需要调整。

Ask every 5-10 chapters:

"Are the currently activated knowledge bases still suitable?"

I will check and suggest adjustments if needed.

3. 类型融合要合理

3. Reasonable Genre Combination

✓ 好的组合：
- romance + mystery（浪漫悬疑）
- historical + romance（古言）
- revenge + romance（复仇+感情）

⚠️ 困难的组合：
- horror + romance（恐怖言情？读者可能不适应）
- mystery + wuxia（推理武侠，需要特殊设计）

不是不能做，但需要特别小心融合方式。

✓ Good combinations:
- romance + mystery (romantic suspense)
- historical + romance (ancient romance)
- revenge + romance (revenge + romance)

⚠️ Difficult combinations:
- horror + romance (horror romance? Readers may not adapt)
- mystery + wuxia (detective wuxia, requires special design)

It's not impossible, but requires careful integration.

4. 利用参考资料

4. Utilize Reference Materials

如果故事有明确时代背景，一定激活对应参考资料：

"1920年代" → china-1920s
"古代" → 指定具体朝代（如"唐代"、"明朝"）

历史细节准确，读者沉浸感强。

If the story has a clear era background, be sure to activate the corresponding reference materials:

"1920s" → china-1920s
"Ancient times" → Specify a specific dynasty (e.g., "Tang Dynasty", "Ming Dynasty")

Accurate historical details enhance reader immersion.

技术说明

Technical Notes

检测算法

Detection Algorithm

1. 用户输入 → 提取关键词
2. 关键词 → 映射到知识库（基于README.md）
3. 去重 → 避免重复激活
4. 加载 → Read相应的.md文件
5. 应用 → 在后续对话中持续应用知识

1. User input → Extract keywords
2. Keywords → Map to knowledge bases (based on README.md)
3. Deduplication → Avoid repeated activation
4. Loading → Read corresponding .md files
5. Application → Continuously apply knowledge in subsequent dialogues

Token管理

Token Management

激活状态检查：每次对话开始时
知识库内容：按需加载，缓存在对话上下文中
更新策略：只在明确需要时重新读取

Activation status check: At the start of each conversation
Knowledge base content: Loaded on demand, cached in dialogue context
Update strategy: Re-read only when explicitly needed

与其他Skills协作

Collaboration with Other Skills

setting-detector是"知识调度器"，其他Skills是"执行者"：

setting-detector → 决定加载哪些知识
consistency-checker → 基于激活的知识库检查一致性
workflow-guide → 根据类型提供特定流程指导
genre-specific skills → 提供类型特定的深度技巧

setting-detector is the "knowledge scheduler", other Skills are "executors":

setting-detector → Decides which knowledge to load
consistency-checker → Checks consistency based on activated knowledge bases
workflow-guide → Provides specific process guidance based on genre
genre-specific skills → Provides in-depth genre-specific techniques

总结

Summary

setting-detector是Novel Writer Skills的大脑：

✓ 自动检测故事设定 ✓ 智能激活对应知识库 ✓ Token高效（按需加载） ✓ 持续应用专业知识 ✓ 无需用户干预

让AI自动成为你故事类型的专家！ 🧠✨

本Skill版本: v1.0 最后更新: 2025-10-18 依赖: templates/knowledge-base/ 系统协作: consistency-checker, workflow-guide, genre-specific skills

setting-detector is the brain of Novel Writer Skills:

✓ Automatically detects story settings ✓ Intelligently activates corresponding knowledge bases ✓ Token-efficient (on-demand loading) ✓ Continuously applies professional knowledge ✓ No user intervention required

Let AI automatically become an expert in your story genre! 🧠✨

This Skill Version: v1.0 Last Updated: 2025-10-18 Dependencies: templates/knowledge-base/ system Collaboration: consistency-checker, workflow-guide, genre-specific skills",