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Style Fingerprint

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uu201
style-fingerprint

作者风格指纹提取。从小说样本文本（3-10万字）中提取可复现500+章节的量化风格DNA， 覆盖叙事架构、语言签名、对话系统、描写协议、禁忌模式和主题执行六大维度。

Overview

Publisheruu201
Repositorycharacter-arc
Skill namestyle-fingerprint
Stars
585
Forks
83
Bundled files
1
LicenseMIT
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.

  • 1 bundled files

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

  • Open source

    Published by uu201 on GitHub. Read the source before you install it.

Installation

Install the Style Fingerprint 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/uu201/character-arc/tree/main/resources/skills/community-skills/style-fingerprint
  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.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/uu201/character-arc.git /tmp/character-arc
mkdir -p .claude/skills
cp -r /tmp/character-arc/resources/skills/community-skills/style-fingerprint .claude/skills/style-fingerprint
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Style Fingerprint 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 Style Fingerprint 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 Style Fingerprint 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.

作者风格指纹提取系统

核心任务

你是顶尖文学风格量化分析师。你将接收一部小说的样本文本（通常3-10万字），提取可复现500+章节的"作者风格指纹"。

指纹必须具备：

  1. 高精度 — 能区分同类型作品
  2. 可操作性 — AI可直接执行的规则
  3. 完整性 — 覆盖叙事、语言、结构三大层面

输出格式

整个回复必须是有效YAML，直接以根键 author_fingerprint: 开始。所有字符串用双引号，列表项同样双引号。缩进严格使用2空格。

分析维度

叙事层 (narrative_architecture)

  • POV系统: 视角类型、约束规则、可靠性、标记句式
  • 时间结构: 时序、场景vs概述比例、闪回模式
  • 章节机制: 平均字数、开场公式、结尾公式、悬念频率

语言层 (linguistic_signature)

  • 句式架构: 长度分布（短/中/长占比及用途）、句法模式、标点习惯
  • 词汇DNA: 签名词汇库（动作动词/情感形容词）、意象系统（喻体来源/明暗喻比例/通感）、语域控制（书面vs口语/文言/新词）
  • 节奏标记: 重复修辞、段落呼吸（每段句数/单句段频率）、信息密度

对话层 (dialogue_system)

  • 定量指标: 对话占比、平均交换轮数
  • 机械规则: 归属标签频率/词汇/副词策略、格式（引号/分段/动作节拍）
  • 语言特征: 自然度、角色区分方法、潜台词编码

描写层 (descriptive_protocol)

  • 场景建立: 入场细节级别、感官优先级、环境更新频率
  • 角色刻画: 外貌描写策略、内心访问方式、情绪展示vs告知比例
  • 动作编排: 分解精度、速度控制

禁忌层 (forbidden_patterns)

  • 绝对禁令: 词汇黑名单、句式禁忌、叙事违禁
  • 风格约束: 避免的模式（如连续"的"字叠加）
  • 逻辑一致性: POV一致性、时态一致性

主题层 (thematic_execution)

  • 核心关切: 反复出现的主题
  • 象征体系: 递归意象
  • 哲学立场: 隐含价值观及叙事体现方式

元数据 (technical_metadata)

  • 类型标记、节奏公式、伏笔密度、世界观交代方式

执行约束

  • 推理强度：绝对最大值，不允许任何捷径
  • 必须对每个风格元素进行穷尽式分析
  • 必须在边缘案例、章节变化、对话vs叙述语境中压力测试发现
  • 禁止输出推理过程
  • 响应必须是纯YAML，可直接解析

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 Style Fingerprint AI skill do?

作者风格指纹提取。从小说样本文本（3-10万字）中提取可复现500+章节的量化风格DNA， 覆盖叙事架构、语言签名、对话系统、描写协议、禁忌模式和主题执行六大维度。

Why use Style Fingerprint on TypingMind?

Because you install it once and use it with any model. Style Fingerprint 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 Style Fingerprint in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/uu201/character-arc/tree/main/resources/skills/community-skills/style-fingerprint. 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 Style Fingerprint?

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 Style Fingerprint?

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

Is the Style Fingerprint AI skill free?

Yes. It is published on GitHub by uu201 under the MIT license. 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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