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.
npx skills add pixel-cellar/Claude-Code-Game-Studios --skill startgit clone --depth 1 https://github.com/pixel-cellar/Claude-Code-Game-StudiosWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/pixel-cellar/claude-code-game-studios/start)<a href="https://agentmods.dev/skills/pixel-cellar/claude-code-game-studios/start"><img src="https://agentmods.dev/badge/skills/pixel-cellar/claude-code-game-studios/start/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/pixel-cellar/claude-code-game-studios/start"><img src="https://agentmods.dev/badge/skills/pixel-cellar/claude-code-game-studios/start.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00032 | $0.01994 |
| Opus 5.5 | $0.00013 | $0.00798 |
| Sonnet 5.5 | $0.00006 | $0.00399 |
| Haiku 4.5 | $0.00003 | $0.00199 |
Grade A, and why
start 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.
引导式入门
此技能是新用户的入口。它不会假设你已经有了游戏创意、引擎偏好或任何经验。它先询问，然后将你路由到正确的工作流。
工作流
1. 检测项目状态（静默）
在询问任何问题之前，静默收集上下文信息，以便量身定制你的引导建议。不要主动展示这些结果 — 它们用于指导推荐，而非作为对话开场白。
检查：
- 引擎已配置？ 读取
.claude/docs/technical-preferences.md。如果 Engine 字段包含[TO BE CONFIGURED]，说明引擎未设置。 - 游戏概念是否存在？ 检查
design/gdd/game-concept.md。 - 源代码是否存在？ 使用 Glob 搜索
src/中的源文件（*.gd、*.cs、*.cpp、*.h、*.rs、*.py、*.js、*.ts）。 - 原型是否存在？ 检查
prototypes/中的子目录。 - 设计文档是否存在？ 统计
design/gdd/中的 Markdown 文件数量。 - 生产工件（Production Artifacts）？ 检查
production/sprints/或production/milestones/中是否有文件。
在内部保存这些发现。你将用它们来验证用户的自评结果并定制后续推荐。
2. 询问用户当前阶段
这是用户首先看到的内容。清晰地展示以下 4 个选项：
欢迎使用 Claude Code Game Studios！
在提出建议之前，我想了解你目前的起点。你的游戏创意现在处于哪个阶段？
A）还没有想法 — 我完全没有任何游戏概念。我想探索并弄清楚要做什么。
B）模糊的想法 — 我有一个粗略的主题、感觉或类型方向（例如"跟太空有关的东西"或"一款温馨的农场游戏"），但还没有具体内容。
C）清晰的概念 — 我知道核心想法 — 类型、基本机制，可能还有一句话的推介 — 但还没有正式形成文档。
D）已有成果 — 我已经有了设计文档、原型、代码或重要的规划工作。我想整理或继续这些工作。
等待用户回答。在用户回复之前不要继续。
3. 根据回答进行路由
如果选 A：还没有想法
用户在进入其他任何环节之前需要创意探索。引擎选择、技术配置 — 这些都以后再说。
- 确认从零开始完全没问题
- 简要说明
/brainstorm的作用（使用专业框架的引导式创意发想 — MDA 框架、玩家心理学、动词优先设计） - 建议下一步运行
/brainstorm open - 展示推荐路径：
/brainstorm— 发现你的游戏概念/setup-engine— 配置引擎（brainstorm 会推荐一个）/map-systems— 将概念拆解为系统并规划 GDD（游戏设计文档）编写顺序/prototype— 测试核心机制/sprint-plan— 规划第一个冲刺（Sprint）
如果选 B：模糊的想法
用户有一个种子想法，但需要帮助将其发展成完整概念。
- 请他们分享模糊的想法 — 哪怕几个字就够了
- 确认这是一个好的起点（不要评判或改变方向）
- 建议运行
/brainstorm [他们的线索]来发展它 - 展示推荐路径：
/brainstorm [线索]— 将想法发展为完整概念/setup-engine— 配置引擎/map-systems— 将概念拆解为系统并规划 GDD 编写顺序/prototype— 测试核心机制/sprint-plan— 规划第一个冲刺
如果选 C：清晰的概念
用户知道自己要做什么，但还没有形成文档。
- 提出 2-3 个后续问题来了解他们的概念：
- 类型和核心机制是什么？（一句话）
- 有引擎偏好吗，还是需要帮助选择？
- 大致规模如何？（Game Jam 游戏、小型项目、大型项目）
- 根据他们的回答，提供两条路径：
- 先正式化：运行
/brainstorm，将概念结构化为正式的游戏概念文档，包含游戏支柱（Pillars）、MDA 分析和规模层级 - 直接配置引擎：如果用户对概念很有信心，直接进入
/setup-engine，之后手动编写 GDD
- 先正式化：运行
- 展示推荐路径（根据他们的选择调整）：
/brainstorm或/setup-engine（由用户选择）/design-review— 验证概念文档/map-systems— 将概念拆解为独立系统，标记依赖关系和优先级/design-system— 编写各系统的 GDD（引导式，逐节完成）/architecture-decision— 做出第一批技术决策/sprint-plan— 规划第一个冲刺
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.
- 1mo ago First seen · 152 lines · 32 tokens per session scan A 52db6640a646
start is a skill published in the GitHub repository pixel-cellar/Claude-Code-Game-Studios (361 stars, last pushed 6mo ago), licensed MIT. It adds 32 tokens to every session and 1,994 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-03.
Other skills, from other repositories
playtest-report
Structured playtest report template, or turn existing playtest notes into structured feedback.
godot-signals-groups
Build event-driven, decoupled Godot 4.7 gameplay with signals and node groups: declare and emit custom signals, connect with Callables (incl. bind/one-shot), and broadcast to many nodes via groups and callgroup. Use when wiring node communication in a Godot project, replacing tight references with signals…
motion
Reconstruct a skeleton from calibrated mesh projections and sequential VLM joint annotations, then fit joints and skin weights. Generate motion from joint-position trajectories, rhythm and contact constraints through IK; refine bone orientation against the action, then export, retarget and validate on the target mesh.
unity-addressables
Manage Addressables groups, entries, profiles and content builds (com.unity.addressables, reflection-based).
unity-manual-component
Manually add, configure, reorder, and copy components on GameObjects using Unity Editor UI. For one-off Inspector workflows that do not need REST automation.
threejs-exposure-color-grading
Build a measured exposure and grading path in Three.js. Use for a 64x36 encoded luminance meter, asynchronous readback, weighted log-average exposure, asymmetric adaptation, single tone-map ownership, and a generated 32-cube post-tone-map LUT.