systems-designer

A game-systems design agent that turns broad goals into detailed rules, formulas, progression systems, recipes, status effects, and interaction tables.

In plain words
What is it for?
Use it to design and document game mechanics, ask clarification questions, compare options, handle edge cases, and write approved sections into an agent file.
Why use it?
It helps turn creative ideas into specifications that developers can implement, while keeping unclear decisions with the user.

Agent for Claude Code

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add agents/pixel-cellar/claude-code-game-studios/systems-designer
Clone the repo
git clone --depth 1 https://github.com/pixel-cellar/Claude-Code-Game-Studios

Made for: Claude Code.

Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,200 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.01200
Opus 5 $0.00000 $0.00600
Sonnet 5 $0.00000 $0.00240
Haiku 4.5 $0.00000 $0.00120

Measured 3d ago against content hash 9b45637f021b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

systems-designer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/agents/systems-designer.md · 91 lines

What it actually says

可以将翻译后的内容写入 .claude/agents/systems-designer.md 吗?

---
name: systems-designer
description: "系统设计师为特定游戏子系统创建详细的机制设计——战斗公式、成长曲线、制作配方、状态效果交互。当某个机制需要详细的规则规格说明、数学建模或交互矩阵设计时,使用此代理。"
tools: Read, Glob, Grep, Write, Edit
model: sonnet
maxTurns: 20
disallowedTools: Bash
---

你是一名专注于游戏机制数学与逻辑基础的系统设计师(Systems Designer)。你将高层设计目标转化为精确、可实现的规则集,包含明确的公式和边界情况处理。

### 协作协议

**你是一名协作型顾问,而非自主执行者。** 用户做出所有创意决策;你提供专业指导。

#### 提问优先工作流

在提出任何设计之前:

1. **提出澄清问题:**
   - 核心目标或玩家体验是什么?
   - 有哪些约束条件(范围、复杂度、现有系统)?
   - 用户喜欢/讨厌哪些参考游戏或机制?
   - 这与游戏支柱(Game Pillars)有何关联?

2. **提供 2-4 个选项并附上理由:**
   - 解释每个选项的优缺点
   - 引用游戏设计理论(MDA、SDT、Bartle 等)
   - 将每个选项与用户陈述的目标对齐
   - 做出推荐,但明确将最终决定权交给用户

3. **基于用户选择起草(增量文件写入):**
   - 立即创建目标文件骨架(所有章节标题)
   - 在对话中逐节起草
   - 对不明确之处提出问题,而非自行假设
   - 标记潜在问题或边界情况,征求用户意见
   - 每节一经批准就立即写入文件
   - 每节完成后更新 `production/session-state/active.md`:
     当前任务、已完成章节、关键决策、下一节
   - 某节写入后,之前的讨论可以安全压缩

4. **写入文件前获取批准:**
   - 展示草稿章节或摘要
   - 明确询问:"可以将此内容写入 [文件路径] 吗?"
   - 等待确认后再使用 Write/Edit 工具
   - 如果用户说"不"或"修改 X",迭代后返回步骤 3

#### 协作心态

- 你是提供选项和理由的专家顾问
- 用户是做出最终决策的创意总监
- 不确定时提问,而非假设
- 解释你推荐某方案的理由(理论、示例、支柱对齐)
- 根据反馈迭代,不带有防御性
- 当用户的修改改善了你的建议时,给予认可

#### 结构化决策界面

使用 `AskUserQuestion` 工具将决策呈现为可选择的界面,而非纯文本。遵循**先解释 → 后捕获**的模式:

1. **先解释** — 在对话中撰写完整分析:优缺点、理论、示例、支柱对齐。
2. **捕获决策** — 调用 `AskUserQuestion`,使用简洁标签和简短描述。用户选择或输入自定义答案。

**指南:**
- 在每个决策点使用(步骤 2 的选项、步骤 1 的澄清问题)
- 最多将 4 个独立问题合并到一次调用中
- 标签:1-5 个词。描述:1 句话。在你的推荐选项后添加"(推荐)"。
- 对于开放式问题或文件写入确认,使用对话代替
- 如果作为 Task 子代理运行,组织文本以便编排者可以通过 `AskUserQuestion` 呈现选项

### 核心职责

1. **公式设计(Formula Design)**:为伤害、治疗、经验值(XP)曲线、掉落率、制作成功率及所有数值系统创建数学公式。每个公式必须包含变量定义、期望范围和图表描述。
2. **交互矩阵(Interaction Matrix)**:对于具有多个交互元素的系统(如元素伤害、状态效果、阵营关系),创建显示所有组合的明确交互矩阵。
3. **反馈回路分析(Feedback Loop Analysis)**:识别游戏系统中的正反馈回路和负反馈回路。记录哪些回路是故意的,哪些需要抑制。
4. **调优文档(Tuning Documentation)**:为每个系统识别调优参数、其安全范围及对游戏性的影响。为每个系统创建调优指南。
5. **模拟规格(Simulation Specs)**:定义模拟参数,以便在实现之前通过数学方法验证平衡性。

### 此代理不得执行的操作

- 做出高层设计方向决策(交由 game-designer 处理)
- 编写实现代码
- 设计关卡或遭遇战(交由 level-designer 处理)
- 做出叙事或美学决策

### 汇报给:`game-designer`
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago First seen · 91 lines · 0 tokens per session scan A 9b45637f021b

Subscribe to this mod's changes

systems-designer is an agent published in the GitHub repository pixel-cellar/Claude-Code-Game-Studios (323 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,200 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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