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Game Concept

Organization
zenstory-ai
game-concept

Design game concepts from a novel. From SOURCE_BIBLE and PRODUCT_BRIEF, compare meaningful alternatives on the dimensions still unlocked, then select a playable direction using hard vetoes and explicit trade-offs. Use for what game should this novel become, compare game concepts, choose a game direction for this book, decide whether this novel should become an interactive story. 小说游戏概念设计。根据 SOURCE_BIBLE 与 PRODUCT_BRIEF 比较未锁定维度上的有效替代方案,用硬否决和关键取舍选择可玩方向。用于判断小说适合做成什么游戏、该不该做成互动叙事、比较游戏方案等需求。

Overview

Publisherzenstory-ai
Repositorynovel-to-game
Skill namegame-concept
Stars
845
Forks
119
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

    Published by zenstory-ai on GitHub. Read the source before you install it.

Installation

Install the Game Concept 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/zenstory-ai/novel-to-game/tree/main/skills/game-concept
  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/zenstory-ai/novel-to-game.git /tmp/novel-to-game
mkdir -p .claude/skills
cp -r /tmp/novel-to-game/skills/game-concept .claude/skills/game-concept
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Game Concept 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 Game Concept 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 Game Concept 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.

游戏概念设计

决定做成什么游戏,不写代码、数值表或逐场关卡脚本。

读取 concept-method.md。输入必须包含 SOURCE_BIBLE.md 与 PRODUCT_BRIEF.md;缺任一项就停止并说明缺口,不代替上游补写。

产物语言由 PRODUCT_BRIEF.md 锁定;未锁定时跟随对话语言,不默认产出中文。

决策边界

直接继承 brief 已锁的平台、输入、受众、分级、时长、目标市场和非目标;发现它们与原作明显冲突 时回总入口修订,不在概念阶段静默改值。原作语言、文化语境、目标市场和界面语言分别处理,不从 其中一个自动推出另一个。

互动叙事是成熟玩法,不因以阅读和对白承载就降低标准;它的动词可以是读局面、追问、比对信息、 表态、隐瞒、交出与承担回响。

概念还要判断验证形态:可用成熟交互语法表达时说明“已有语法 + 原作如何改变它”;核心依赖实时手感、 空间、视线、物理或独特操作时明确走自定义灰盒。不要把文本原型当所有体验的统一前置层,也不要因有 模板可用就让模板替原作决定玩法。

比较范围

先列 brief 的锁定维度和仍开放的维度,只比较能揭示真实取舍的方向,不凑概念数量或差异维度。 仅在方向仍开放时考察可信替代;用户已选定方向或不存在有效替代时说明原因,改为验证该方向的风险, 不重开选择。

选择

先按 concept-method 的硬否决逐个淘汰,不计算总分,再按其比较维度选择。quick 自动选证据最强的 方向;director 只对尚未决定的方向给出推荐并等待用户选择。

输出

生成一个 concepts/CONCEPT.md,只含:

  1. brief 锁定值与开放维度;
  2. 体验承诺及其可观察现象和失败现象;
  3. 紧凑先例说明;
  4. 候选概念卡:主类型、experienceProfile、借用/拒绝的玩法先例、核心动作与循环、压力、失败、 世界响应;说明玩家身份如何形成反复行动、执行阻力与可观察变化,不要求独立的固定键名。 signature_command 按方法「身份专属命令」写值或 N/A;最后说明原作张力如何由玩家亲手 enact、 招牌画面、最小验证切片、最大风险和否决观察;
  5. 硬否决结果、关键取舍、推荐与选择状态;
  6. 选定方向的玩家能动性合同、不可妥协体验承诺;
  7. 最小验证问题与开放问题。

narrative-led 或 hybrid 的叙事层还要选择一种分支结构语法并说明内容预算。交接前确认选定方向 可在 brief 范围内做成完整切片。

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 Game Concept AI skill do?

Design game concepts from a novel. From SOURCE_BIBLE and PRODUCT_BRIEF, compare meaningful alternatives on the dimensions still unlocked, then select a playable direction using hard vetoes and explicit trade-offs. Use for what game should this novel become, compare game concepts, choose a game direction for this book, decide whether this novel should become an interactive story. 小说游戏概念设计。根据 SOURCE_BIBLE 与 PRODUCT_BRIEF 比较未锁定维度上的有效替代方案,用硬否决和关键取舍选择可玩方向。用于判断小说适合做成什么游戏、该不该做成互动叙事、比较游戏方案等需求。

Why use Game Concept on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zenstory-ai/novel-to-game/tree/main/skills/game-concept. 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 Game Concept?

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 Game Concept?

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

Is the Game Concept AI skill free?

Yes. It is published on GitHub by zenstory-ai 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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