
Setting Detector
This automatically detects story genres, time periods, and themes from your writing conversation, then loads the relevant knowledge bases in the background without you asking. Say you're writing a "1920s revenge romance" and it pulls in three knowledge bases: romance writing conventions, revenge story beats, and 1920s China historical details. It's designed to save tokens compared to loading 50 different skills upfront. You just write naturally and it activates the right reference material as it recognizes keywords like "言情", "复仇", or "民国". The detection is fuzzy enough to catch "重生后要报仇" as a revenge trigger. Currently supports five genre types and 1920s China references, with more planned. You can always ask what's activated or manually override if it guesses wrong.
- skills.sh installs
- 339
- GitHub stars
- 270
- last updated
- Aug 21, 2026
Install
$ npx -y skills add wordflowlab/novel-writer-skills --skill setting-detector --agent claude-codeInstalls into .claude/skills of the current project.
Files
故事设定自动检测器
核心功能
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。
工作原理
关键词映射表
我监听以下关键词并自动激活对应知识库:
类型知识库(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
参考资料库(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/
自动激活流程
示例1:单一类型检测
Sponsors
Details
- Repository
- github.com/wordflowlab/novel-writer-skills
- Category
- Documentation
- First seen
- Jun 3, 2026
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