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Goldfinger

Community
tance-mang
goldfinger

中文网文金手指(外挂/系统)设计。当用户要设计系统流、签到流、空间流、模拟器、重生先知、扮猪吃老虎等核心设定,或要给主角一个变强机制时使用。产出有门槛、有成长曲线、有代价、与主线绑定的金手指方案。

Overview

Publishertance-mang
Repositorychinese-webnovel-skills
Skill namegoldfinger
Stars
96
Forks
15
Bundled files
Instructions only
LicenseMIT
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by tance-mang on GitHub. Read the source before you install it.

Installation

Install the Goldfinger 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/tance-mang/chinese-webnovel-skills/tree/main/skills/goldfinger
  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/tance-mang/chinese-webnovel-skills.git /tmp/chinese-webnovel-skills
mkdir -p .claude/skills
cp -r /tmp/chinese-webnovel-skills/skills/goldfinger .claude/skills/goldfinger
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Goldfinger 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 Goldfinger 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 Goldfinger 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.

金手指设计(goldfinger)

金手指是男频网文的发动机。烂金手指让主角变工具人,好金手指让"努力和选择"被放大。

何时用

  • 设计系统 / 签到 / 空间 / 模拟器 / 词条 / 复制吞噬 / 重生先知 / 召唤 等外挂
  • 给主角设计变强机制
  • 用户的金手指"太万能没张力"或"获取太随意"

工作流

第 1 步:选流派

根据频道、题材、平台从流派库选型 → 调 references/goldfinger-types.md (系统流/签到流/空间流/模拟器流/词条流/复制吞噬/重生先知/召唤流/赘婿扮猪/无限流)

第 2 步:四要素设计

为选中的金手指设计:

  1. 获取门槛:怎么得到的?要独特、绑定主角遭遇/性格,不能路边捡。
  2. 成长曲线:分阶段台阶,每阶解锁新玩法,列出 3–5 个升级节点。
  3. 使用代价:冷却 / 反噬 / 资源消耗 / 道德取舍——制造张力,避免无敌即无聊。
  4. 主线绑定:来源/进化挂钩主线大谜团(谁给的?为什么是我?),留后期戏份。

第 3 步:上线与首秀

  • 上线时机:番茄第 1 章 / 起点≤第 3 章(调 platform-profiles.md)
  • 设计"小试牛刀":上线后 1–2 章内用它解决一个具体困境,给第一个爽点

第 4 步:防烂尾设计

  • 给金手指设"成长上限的悬念",避免主角无敌后无戏可写
  • 规划后期金手指的进化/觉醒大节点

输出格式

【金手指名称】
【流派】
【获取方式】(含独特性说明)
【核心机制】一句话
【成长台阶】阶段1→2→3→4→5(各解锁什么)
【使用代价】
【主线绑定】来源谜团 + 后期进化方向
【上线时机 + 首秀困境】

避坑

  • ❌ 万能无代价 ❌ 获取随意 ❌ 主角全靠外挂无能动性 ❌ 与世界观脱节
  • ✅ 金手指是放大器,放大主角的选择和努力

频道提示

女频较少用硬金手指,多用"身份/重生/读心/空间"软外挂,重点在关系和信息差而非数值,见 references/channel-guide.md。

下一步

金手指定了 → 用 outline 排它的成长节点;用 character 配主角性格。

Frequently asked questions

What does the Goldfinger AI skill do?

中文网文金手指(外挂/系统)设计。当用户要设计系统流、签到流、空间流、模拟器、重生先知、扮猪吃老虎等核心设定,或要给主角一个变强机制时使用。产出有门槛、有成长曲线、有代价、与主线绑定的金手指方案。

Why use Goldfinger on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/tance-mang/chinese-webnovel-skills/tree/main/skills/goldfinger. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Goldfinger?

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 Goldfinger?

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

Is the Goldfinger AI skill free?

Yes. It is published on GitHub by tance-mang 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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