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Zhangyi Systems

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aph199686
zhangyi-systems

张翼机制与系统设计:核心循环细化、新机制评审过闸、数值纪律与平衡裁决。每个机制必须回答'解决哪个病灶'、区分'强化内核还是堆系统'、推演诱发的玩家行为与情绪,输出系统裁决书。Use when the user designs mechanics/systems, tunes numbers or balance, evaluates adding a new mechanic, designs core loop details, or asks whether a feature is worth building. 用户设计机制与系统、调数值做平衡、纠结加不加某个机制、细化核心循环、或问某个功能值不值得做时使用。

Overview

Publisheraph199686
Repositoryzhangyi-studio
Skill namezhangyi-systems
Stars
119
Forks
0
Bundled files
3
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.

  • 3 bundled files

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

  • Open source

    Published by aph199686 on GitHub. Read the source before you install it.

Installation

Install the Zhangyi Systems 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/aph199686/zhangyi-studio/tree/main/skills/zhangyi-systems
  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/aph199686/zhangyi-studio.git /tmp/zhangyi-studio
mkdir -p .claude/skills
cp -r /tmp/zhangyi-studio/skills/zhangyi-systems .claude/skills/zhangyi-systems
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Zhangyi Systems 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 Zhangyi Systems 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 Zhangyi Systems 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.

张翼 · 机制与系统

机制阶段的核心纪律:机制不是越多越好,是每一个都拔不出来才好。 本 skill 的输出是《系统裁决书》。

前置:用户项目应已有 zhangyi.config.md 和病灶定义(立项裁决书)。 没有病灶定义的机制评审是无的放矢——先回 zhangyi-kickoff 立病灶,或当场 逼用户写出"这个机制要解决什么问题"。

工作流

1. 接过病灶与支柱

从项目的立项裁决书(verdicts/)读出病灶 P1/P2/P3 与设计支柱。 本阶段一切机制都必须挂在病灶上:先说治什么病,再说怎么治。

2. 机制细化:从把手到设计

新机制从哪来不重要(用户灵感 / 机制活检的可杂交把手 / 竞品借鉴), 落地前都要过细化四问:

  1. 它放大内核,还是外挂系统? 强化游戏内核发动机的机制优先; 挂在内核外面的外围系统(养成、装饰性收集)默认可疑。
  2. 它会诱发什么? 推演三件事:玩家会因此做出什么行为、与已有机制 会产生什么涌现反应、做这些行为时是什么情绪。推演得通的机制才进入细化。
  3. 代价是什么? 每个优势必须换一个明确的代价——没有代价的优势 不是设计,是施舍,且一定会被玩家滥用到你后悔。
  4. 玩家能预判吗? 凡是系统施加的惩罚/淘汰/损失,玩家必须能提前 计算和规避。算不出来的是天灾,不是机制;可预判的才叫博弈。

细则与判别示例见 references/机制评审闸门.md。

3. 数值纪律

机制里出现的每个数字按三分类标注:已验证 / 占位 / 待验证; 给机制显式标注平衡旋钮("调这个参数就能救/杀这个机制的那几个数"); 成本评估必须算隐性成本。细则见 references/数值与平衡.md。

4. 环境约束检查

机制在哪个环境里跑?诚实检查,不护短:

  • 单机对 AI:AI 不理解"软信息"(暗示、传话、心理战)。依赖对手 理解信息的机制,在单机下打对折甚至归零——要么给 AI 加理解模块 (高成本,进待拍板),要么降级为硬效果(直接生效、不需要被理解)。
  • 有争议的机制做成开关:玩家群体可能分裂的机制,做成可选开关、 默认关,让数据而不是争吵来决定。

5. 裁决与落档

落裁决按共享原语 原语·落判 执行; 本阶段模板:templates/系统裁决书.md。

卡片引用(见识层)

本 skill 随附提炼卡片库:references/cards-机制.md; 主题关键词示例:"难度曲线""经济系统"。 引用纪律按共享原语 原语·引卡 执行。

边界(与 zhangyi-probe 的分工)

本 skill 的推演全是纸面功夫。机制"有效"(规则上跑得通)可以被模拟验证, 机制"有趣"只能被真人验证——在系统裁决书的诚实声明里,不许出现 "已验证好玩"。需要模拟探针时,路由到 zhangyi-probe(结构化模拟验证), 并保留"探针能否决结构问题、不能证明好玩"的边界。

姿态

  • 用户的直觉方案值得认真推演,但推演的结果可能是"这个方案在你自己的 支柱下不成立"——如实说,引用支柱,不引用权威。

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 Zhangyi Systems AI skill do?

张翼机制与系统设计:核心循环细化、新机制评审过闸、数值纪律与平衡裁决。每个机制必须回答'解决哪个病灶'、区分'强化内核还是堆系统'、推演诱发的玩家行为与情绪,输出系统裁决书。Use when the user designs mechanics/systems, tunes numbers or balance, evaluates adding a new mechanic, designs core loop details, or asks whether a feature is worth building. 用户设计机制与系统、调数值做平衡、纠结加不加某个机制、细化核心循环、或问某个功能值不值得做时使用。

Why use Zhangyi Systems on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/aph199686/zhangyi-studio/tree/main/skills/zhangyi-systems. 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 Zhangyi Systems?

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 Zhangyi Systems?

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

Is the Zhangyi Systems AI skill free?

Yes. It is published on GitHub by aph199686 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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