game-architect

审查 · 57
已收录

READ this skill when designing or planning any game system architecture — including combat, skills, AI, UI, multiplayer, narrative, or scene systems. Contains paradigm selection guides (DDD / Data-Driven / Prototype), system-specific design references, and mixing strategies. Work

Verified installs0
Stars57
版本1.0.0
质量59/100 · 有潜力
信任57/100 · Do not auto-install
审计72/100 · 需审查

供给资产档案

研究与知识工作

Deep research, source comparison, literature review, RAG, knowledge search, and reports.

浏览赛道

场景

研究 Agent

I need my agent to research a topic, compare sources, and produce a concise report.

适配 Agent

Claude Code + CLI + Codex

适用于 Codex、Claude Code、Cursor、CLI 或自定义 Agent。

安装

就绪

npx skills add Yuki001/game-dev-skills --skill game-architect

维护状态

新鲜

距上次推送 3 天

风险

需审查

许可证不清晰

GitHub 质量

57

59/100 质量 · 65/100 信任

覆盖标签

研究研究 Agentagent-skill

审查说明

许可证不清晰 · Permission surface may require sandboxing

Agent 采用评分卡

一眼查看信任、审计与安装准备度

这些分数综合公开仓库元数据、OpenAgentSkill 审查信号、维护新鲜度与安装准备度。它用于候选筛选,不替代人工审查。

质量

有潜力
59

有用的候选项,但采用前应与替代方案比较。

信任

Do not auto-install
57

Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.

审计

需审查
72

对安装准备度、安全元数据、维护情况与采用风险的机器可读审查。

OpenAgentSkill 信任评分 v5

安装前需人工审查

Choose a stronger alternative or inspect the source manually before any install attempt.

CodexClaude CodeCursorOpenAgentSkill CLI

Stars

57 个 GitHub Stars

仓库活跃度

57 个 Star,9 个 Fork

维护状态

距上次推送 3 天

许可证

未知

安装

npx skills add Yuki001/game-dev-skills --skill game-architect

安装安全性

标准软件包或运行时安装路径

权限范围

shell or command execution, filesystem or document access

Agent 结果

暂未有 Agent 结果数据

文档

README/SKILL.md 上下文充分

风险摘要

生产前审查

  • Repository license is unknown; missing explicit license file may cause legal ambiguity.
  • Financial research output is not financial advice; require human review before any live investment decision.
  • 许可证不清晰
  • Quality score needs review

安装准备度

安装路径可用

  • 安装路径可用
  • 仓库证据可用
  • 许可证不清晰
  • 暂无 Agent 验证结果证据

Agent 可读元数据

这个 Skill 的机器可读决策数据。

使用此区块或内嵌 JSON 判断 Agent 是否应安装该 Skill、选择替代方案,或先请求人工审查。

打开 JSON

适用任务

  • 研究 Agent 工作流
  • Claude Code 团队
  • builders willing to evaluate younger projects
  • 检索来源

适用 Agent

CodexClaude CodeCursorOpenAgentSkill CLICLI

安装决策

命令
npx skills add Yuki001/game-dev-skills --skill game-architect
策略
阻止
人工审查

信任与风险

信任
57/100
审计
72/100
风险级别
需审查

结果闭环

端点
/api/agent/outcome
事件 ID
resolve
结果
5

安装命令

npx skills add Yuki001/game-dev-skills --skill game-architect

不适用场景

  • 需要厂商支持 SLA 的团队
  • production agents without a repository review
  • Repository license is unknown; missing explicit license file may cause legal ambiguity.
  • 高风险权限提示:Shell or command execution, Secrets or environment access
  • 许可证不清晰

Agent 安全 v2

28/100 · 避免自动安装

Blocked for auto-install阻止

This skill should not be selected by an agent without explicit human security review.

Do not auto-install. Inspect the source, dependencies, and permission surface first.

通过 API 解析

Shell 或命令执行

Skill 元数据引用了终端、CLI、Shell、子进程或命令执行工作流。

网络访问

Skill 可能访问远程页面、API、仓库或外部服务。

文件系统访问

Skill 可能读取或写入项目文件、文档、生成产物或本地工作区状态。

Secrets or environment access

Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.

  • 高风险权限提示:Shell or command execution, Secrets or environment access
  • 许可证不清晰

安装目标

在你的 Agent 工作流中安装此 Skill

通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。

skill install

OpenAgentSkill CLI

Resolve policy, run the source installer safely, and report a verified install receipt.

$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install yuki001-game-architect

Agent 解析计划

让 Agent 在安装前验证匹配度。

Resolve API 返回首选 Skill、替代方案、安全策略、审计说明、安装目标和可直接执行的提示词,无需抓取此页面。

打开文本计划

Agent 应检查

  • 从 Resolve API 检查任务匹配与替代方案。
  • 检查审计评分、信任评分和安全策略警告。
  • 检查 Codex、Claude Code、Cursor 或 CLI 的安装目标兼容性。

复制提示词

Task: Use game-architect in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20game-architect%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/yuki001-game-architect/install
Install command: npx skills add Yuki001/game-dev-skills --skill game-architect
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent 交接

把安装路径交给 Agent,而不是再给一个目录页。

通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。

打开安装 API

Agent 提示词

Use game-architect for this task. Review https://www.openagentskill.com/api/skills/yuki001-game-architect/install, then install with: npx skills add Yuki001/game-dev-skills --skill game-architect

Registry 元数据

用于自动选择 Skill 的 Agent 可读档案。

本页通过 Registry API 提供相同的决策、信任、审计、场景和安装信号,让 Agent 无需抓取界面即可排序。

打开 Manifest

适配 Agent

61/100

研究 Agent

平台

Claude Code

审计报告

需审查 · 72/100

对安装准备度、安全元数据、维护情况与采用风险的机器可读审查。

查看审计报告查看评估报告

Agent 决策面板

Fallback candidate for Research agents

先用此 Skill 做原型验证,并保留备选方案。

61
就绪度
原型验证
阶段

栈中角色

备选候选

主要匹配

研究 Agent

信任标签

先做原型验证

安装路径

命令已就绪

适用场景

  • 研究 Agent 工作流
  • Claude Code 团队
  • builders willing to evaluate younger projects

证据

  • 仓库近期活跃
  • 已提供安装命令或 GitHub 仓库
  • 59/100 质量档案
  • 7 个 OpenAgentSkill 交互事件

先审查

  • Repository license is unknown; missing explicit license file may cause legal ambiguity.

实施路径

  1. 1在沙盒 Agent 中安装它,并端到端完成一次研究 Agent任务。
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

信任档案

Do not auto-install

Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.

57
OpenAgentSkill 信任评分

GitHub 采用度

检查

57 个 GitHub Stars

Star/Fork 活跃度

检查

57 个 Star,9 个 Fork; 当前元数据中没有议题活跃度信息

近期维护

通过

距上次推送 3 天

许可证清晰度

检查

未知

积极信号

  • AI 审查已通过
  • 安装路径可用
  • 仓库证据可用
  • 近期维护的仓库
  • 安装命令未发现明显高风险模式
  • 结果闭环已就绪,但需要首次真实 Agent 运行

安装前审查

  • Repository license is unknown; missing explicit license file may cause legal ambiguity.
  • Financial research output is not financial advice; require human review before any live investment decision.
  • 许可证不清晰
  • Quality score needs review
  • Permission surface needs review: shell or command execution, filesystem or document access
  • GitHub adoption: 57 GitHub stars
  • Stars/forks activity: 57 stars, 9 forks; issue activity unavailable in current metadata
  • License clarity: Unknown
  • Permission surface: shell or command execution, filesystem or document access
  • 暂未有真实 Agent 结果报告
  • 无人值守安装前需要人工审查

建议操作

Choose a stronger alternative or inspect the source manually before any install attempt.

质量档案

有潜力 适用于 Agent 工作流的候选

有用的候选项,但采用前应与替代方案比较。

59
GitHub Stars
57
新鲜度
3 天前
安装就绪
许可证
未知
安装前审查: Repository license is unknown; missing explicit license file may cause legal ambiguity.

工作流匹配

在这些场景使用此 Skill

工作流匹配

加入完整工作流

替代方案短名单

安装前对比

可能适合该任务的相近 Skill。

对比全部

概览

--- name: game-architect description: READ this skill when designing or planning any game system architecture — including combat, skills, AI, UI, multiplayer, narrative, or scene systems. Contains paradigm selection guides (DDD / Data-Driven / Prototype), system-specific design references, and mixing strategies. Works as a domain knowledge plugin alongside workflow skills (OpenSpec, SpecKit) or plan mode of an agent. ---

# Game Architect Skill

Game architecture domain knowledge reference. Provides paradigm selection, system design references for game project architecture.

> [!NOTE] > This skill contains **domain knowledge only**, not a workflow. Pair it with a workflow skill (e.g., OpenSpec, SpecKit) or an agent's plan mode for structured design flow.

## Usage Modes

### With Workflow Skill (Recommended)

When used with a workflow skill (e.g., OpenSpec, SpecKit) or in the plan mode of an agent, this skill serves as a domain knowledge plugin:

- **During requirements/spec phases**: Consult the Paradigm Selection Guide and System-Specific References to inform architectural decisions - **During design/planning phases**: Use the Reference Lookup Guide below to read relevant `references/` documents

### Knowledge Mode (Query)

When user requests to query knowledge for game architecture, this skill provides a reference lookup guide to relevant `references/` documents based on the task.

---

## Reference Lookup Guide

When designing game architecture, read the relevant `references/` documents based on the task:

### Architecture References

| When | Read | |------|------| | Always (high-level structure) | `references/macro-design.md` | | Always (core principles) | `references/principles.md` | | Requirement analysis | `references/requirements-analysis.md` | | Choosing DDD paradigm | `references/domain-driven-design.md` | | Choosing Data-Driven paradigm | `references/data-driven-design.md` | | Choosing Prototype paradigm | `references/prototype-design.md` | | Evolution & extensibility review | `references/evolution.md` | | Changing requirements in an existing implementation | `references/requirement-change-strategy.md` | | Performance optimization needed | `references/performance-optimization.md` | | Multiplayer support needed | `references/multiplayer-overview.md` |

- For physical architecture design, see the Physical Architecture References table below. - For system-specific design, see the System-Specific References table below. - For multiplayer system design, see the Multiplayer References table below.

Note : Only read the multiplayer references when multiplayer is needed.

### Physical Architecture References

| When | Read | |------|------| | Project structure & file organization | `references/project-structure.md` | | Data formats, processing, custom formats, bundles, metadata | `references/data-files.md` | | Gameplay content editor applications and authoring pipelines | `references/content-editor.md` | | Asset conventions & pipeline | `references/asset-conventions.md` | | Distribution, packaging, hot update, CDN, deployment | `references/distribution.md` |

### System-Specific References

| System Category | Reference | |----------------|-----------| | Foundation & Core (Logs, Timers, Modules, Events, Resources, Audio, Input) | `references/system-foundation.md` | | Time & Logic Flow (Update Loops, Async, FSM, Command Queues, Controllers) | `references/system-time.md` | | Combat & Scene (Scene Graphs, Spatial Partitioning, ECS/EC, Loading) | `references/system-scene.md` | | UI & Modules (Modules Management, MVC/MVP/MVVM, UI Management, Data Binding, Reactive) | `references/system-ui.md` | | Skill System (Attribute, Skill, Buff) | `references/system-skill.md` | | Action Combat System (HitBox, Damage, Melee, Projectiles) | `references/system-action-combat.md` | | Camera, Character & Controller 3C (PlayerController, Physics, Camera, Actor States) | `references/system-3c.md` | | Effect & Feedback System (Screen Shake, VFX, Hit-Stop, Haptics, SFX, Floating Text, UI Feedback, Orchestration) | `references/system-effect-feedback.md` | | Narrative System (Dialogue, Cutscenes, Story Flow) | `references/system-narrative.md` | | Game AI System (Movement, Pathfinding, Decision Making, Tactical) | `references/system-game-ai.md` | | Mod & DLC System (Plugin Architecture, Config Database, Scripting, Hooks, Extensibility) | `references/system-mod.md` | | Procedural Content Generation (PCG) (World/Level Generation, Roguelike, Noise, Simulation) | `references/system-pcg.md` | | Algorithm & Data Structures (Pathfinding, Search, Physics, Generic Solver) | `references/algorithm.md` | | Puzzle Game System (Match-3, Jigsaw, Water Sort, Blocks, Physics Puzzles, Board Games, Content & Presentation Boundaries) | `references/system-puzzle.md` |

### Multiplayer References

| Focus | Reference | Use When | |------|------|------| | Multiplayer overview | `references/multiplayer-overview.md` | Decide client/server responsibility, authority split, and gameplay sync style | | Multiplayer protocol and connection | `references/multiplayer-protocol.md` | Design messages, serialization, Req/Resp/Notify, heartbeat, reconnect | | Multiplayer server architecture | `references/multiplayer-server-architecture.md` | Design ownership boundaries, process roles, deployment, persistence, recovery | | Common server components and services | `references/multiplayer-implementation-common.md` | Build shared infrastructure such as auth, gateway, connector, db, cache, discovery, queue, observability | | Room server build playbook | `references/multiplayer-implementation-room.md` | Build a concrete small-to-medium room-based realtime server with join flow, room ownership, settlement, reconnect | | Encounter server build playbook | `references/multiplayer-implementation-encounter.md` | Build a concrete turn-based or combat-workflow server with checkpointing, idempotent actions, settlement | | Persistent world server build playbook | `references/multiplayer-implementation-world.md` | Build a concrete AOI world server with region ownership, transfer, location registry, reconnect | | Deterministic sync, lockstep, and rollback | `references/multiplayer-deterministic-sync.md` | Design deterministic input-sync architectures, frame pipelines, rollback, replay, and desync handling | ---

## Paradigm Selection Guide

| Paradigm | KeyPoint | Applicability Scope | Examples | Reference | | :--- | :--- | :--- | :--- | :--- | | **Domain-Driven Design (DDD)** | OOP & Entity First | High Rule Complexity. <br> Rich Domain Concepts. <br> Many Distinct Entities. | Core Combat Logic, Physics Interactions, Damage/Buff Rules, Complex AI Decision. | `references/domain-driven-design.md` | | **Data-Driven Design** | Data Layer First | High Content Complexity. <br> Flow Orchestration. <br> Simple Data Management. | **Content**: Quests, Level Design.<br>**Flow**: Tutorial Flow, Skill Execution, Narrative.<br>**Mgmt**: Inventory, Shop, Mail, Leaderboard. | `references/data-driven-design.md` | | **Use-Case Driven Prototype** | Use-Case Implementation First | Rapid Validation | Game Jam, Core Mechanic Testing. | `references/prototype-design.md` |

Here, **Data-Driven Design** means a **data-structure-first programming paradigm**, not specifically configuration-driven gameplay. See `references/data-driven-design.md` for the full terminology boundary.

### Mixing Paradigms

Most projects mix paradigms: 1. **Macro Consistency**: All modules follow the same Module Management Framework. 2. **Domain for Core Entities & Rules**: Use DDD for systems with high rule complexity, rich domain concepts, and many distinct entities (e.g., Combat Actors, Damage Formulas, AI Decision). 3. **Data for Content, Flow & State**: Use Data-Driven for expandable content (Quests, Level Design), flow orchestration (Tutorial, Skill Execution, Narrative), and simple data management (Inventory, Shop). 4. **Hybrid Paradigms**: - 4.1 **Entities as Data**: Domain Entities naturally hold both data (fields) and behavior (methods). Design entities to be serialization-friendly (use IDs, keep state as plain fields) so they serve both roles without a separate data layer. - 4.2 **Flow + Domain**: Use data-driven flow to orchestrate the sequence/pipeline, domain logic to handle rules at each step. E.g., Skill System: flow drives cast→channel→apply, domain handles damage calc and buff interactions. - 4.3 **Separate Data/Domain Layers**: Only when edit-time and runtime representations truly diverge. Use a Bake/Compile step to bridge them. E.g., visual node-graph editors, compiled assets. 5. **Paradigm Interchangeability**: Many systems can be validly implemented with either paradigm. E.g., Actor inheritance hierarchy (Domain) ↔ ECS components + systems (Data-Driven); Buff objects with encapsulated rules (Domain) ↔ Tag + Effect data entries resolved by a generic pipeline (Data-Driven). See **Selection Criteria** table above for trade-off signals. 6. **Integration**: Application Layer bridges different paradigms.

### Selection Criteria

When both DDD and Data-Driven fit, use these signals:

| Signal | Favor DDD | Favor Data-Driven | |--------|-----------|-------------------| | Entity interactions | Complex multi-entity rules (attacker × defender × buffs × environment) | Mostly CRUD + display, few cross-entity rules | | Behavior source | Varies by entity type, hard to express as pure data | Driven by config tables, designer-authored content | | Change frequency | Rules change with game balance iterations | Content/flow changes far more often than logic | | Performance profile | Acceptable overhead for rich object graphs | Needs batch processing, cache-friendly layouts | | Networking | Stateful objects acceptable | Flat state snapshots preferred (sync, rollback) | | Team workflow | Programmers own the logic | Designers need to iterate without code changes |

---

技术详情

版本
1.0.0
许可证
Unknown
最近更新
2026年8月20日
发布时间
2026年8月20日

决策摘要

备选候选

61
就绪
原型验证
阶段

仓库近期活跃

审计

安装审查

安装与采用审查

72
需审查
安全性
71/100
维护状态
100/100
安装
92/100
打开完整审计查看评估报告

Agent 验证证据

Agent 验证证据

来自解析、审查、安装和一次小范围运行后的结果报告。

0
已验证
Needs first agent run自动安装: 先审查最近: 未知
成功率
近期失败
结果
0
输出质量
失败
0
不相关
0
安装次数
0
风险拦截
0
需要配置
0
生产环境
0

暂时没有 Agent 结果数据。首次 Agent 执行可以通过 /api/agent/outcome 报告成功、需要设置、风险拦截、失败或不相关。

安装

加入 Agent 工作流

免费且开源. 在生产 Agent 中安装前请先审查报告。

增长闭环

分享工具包

X

为 game-architect 准备的场景化草稿,可手动发布到 X。

策展说明
game-architect: READ this skill when designing or planning any game system architecture — including combat, s...

57 stars

https://www.openagentskill.com/skills/yuki001-game-architect?ref=x
打开 X 草稿
可选:带安装命令的回复
Listing + install path for game-architect:
https://www.openagentskill.com/skills/yuki001-game-architect?ref=x

Install: npx skills add Yuki001/game-dev-skills --skill game-architect
打开回复草稿

收录来源

Registry 收录

可认领

此列表来自公开来源,维护者认领获批前不会标记为官方。

创作者
Yuki001
收录方
OpenAgentSkill 社区索引

归属链接指向公开仓库或创作者主页。创作者可认领列表以更新所有权信号。

认领此 Skill

所有者认领

认领此 Skill 页面

这条 Registry 收录 列表归属于 Yuki001,但尚未标记为官方。认领后可增加已验证所有者信号,使后续发布、安装和审计更新更值得信赖。

创作者外链工具包

将证据徽章加入你的 README

在开发者评估仓库的位置展示规范页面、当前信任与审计信号,以及真实的 Agent 验证证据。

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/yuki001-game-architect?metric=listed&label=Listed)](https://www.openagentskill.com/skills/yuki001-game-architect)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/yuki001-game-architect?metric=trust&label=Trust)](https://www.openagentskill.com/skills/yuki001-game-architect)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/yuki001-game-architect?metric=audit&label=Audit)](https://www.openagentskill.com/skills/yuki001-game-architect/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/yuki001-game-architect?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/yuki001-game-architect)

作者

Y

Yuki001

@yuki001

平台适配

健康信号

GitHub Stars
57
质量评分
35/100
最近 GitHub 推送
2026年8月20日
框架提示
未知
OpenAgentSkill 浏览量
7
复制安装命令
0
跳转点击
0

社区信号

告诉我们这个 Skill 是否对你的 Agent 工作流有帮助。汇总反馈会持续改善排序。

信任与安全

Do not auto-install

57
  • GitHub 采用度57 个 GitHub Stars检查
  • Star/Fork 活跃度57 个 Star,9 个 Fork; 当前元数据中没有议题活跃度信息检查
  • 近期维护距上次推送 3 天通过
  • 许可证清晰度未知检查
  • README/SKILL.md 完整度元数据包含足够的用法与工作流上下文通过
  • 依赖与运行时风险database surface通过