game-architect

REVIEW · 57
Registry indexed

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
Version1.0.0
Quality59/100 · Promising
Trust57/100 · Do not auto-install
Audit72/100 · Needs review

Supply asset profile

Research and knowledge work

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

Browse track

Scenario

Research agents

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

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

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

Maintenance

fresh

2d since push

Risk

Needs review

License is unclear

GitHub quality

57

59/100 Quality · 65/100 Trust

Coverage tags

ResearchResearch agentsagent-skill

Review notes

License is unclear · Permission surface may require sandboxing

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Promising
59

Useful candidate, but compare it with alternatives before adopting.

Trust

Do not auto-install
57

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

Audit

Needs review
72

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Human review before install

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

CodexClaude CodeCursorOpenAgentSkill CLI

Stars

57 GitHub stars

Repo activity

57 stars, 9 forks

Maintenance

2d since push

License

Unknown

Install

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

Install safety

standard package or runtime install path

Permission surface

shell or command execution, filesystem or document access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • 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.
  • License is unclear
  • Quality score needs review

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is unclear
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • Research agents workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Search sources

Suited agents

CodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add Yuki001/game-dev-skills --skill game-architect
Policy
block
Human review
yes

Trust and risk

Trust
57/100
Audit
72/100
Risk level
Needs review

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

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

Do not use when

  • teams that need a vendor-supported SLA
  • production agents without a repository review
  • Repository license is unknown; missing explicit license file may cause legal ambiguity.
  • High-risk permission hints: Shell or command execution, Secrets or environment access
  • License is unclear

Agent safety v2

28/100 · Avoid automatic install

Blocked for auto-installblock

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.

Resolve via API

high

Shell or command execution

Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

high

Secrets or environment access

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

  • High-risk permission hints: Shell or command execution, Secrets or environment access
  • License is unclear

Install targets

Install this skill in your agent workflow

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

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 resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

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 handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Agent prompt

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 metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Agent fit

60/100

Research agents

Platforms

Claude Code

Audit report

Needs review · 72/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Fallback candidate for Research agents

Prototype with this skill first; keep a fallback candidate ready.

60
Readiness
Prototype
Stage

Role in stack

Fallback candidate

Primary fit

Research agents

Trust label

Prototype first

Install path

Command ready

Use when

  • Research agents workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 59/100 quality profile
  • 6 OpenAgentSkill engagement events

review first

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

Implementation path

  1. 1Install it in a sandbox agent and run one Research agents task end to end.
  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.

Trust profile

Do not auto-install

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

57
OpenAgentSkill Trust Score

GitHub adoption

CHECK

57 GitHub stars

Stars/forks activity

CHECK

57 stars, 9 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

2d since push

License clarity

CHECK

Unknown

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • 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.
  • License is unclear
  • 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
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

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

Quality profile

Promising candidate for agent workflows

Useful candidate, but compare it with alternatives before adopting.

59
GitHub stars
57
Freshness
2d ago
Install ready
Yes
License
Unknown
Review before install: Repository license is unknown; missing explicit license file may cause legal ambiguity.

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

Overview

--- 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 |

---

Technical details

Version
1.0.0
License
Unknown
Last updated
Aug 20, 2026
Published
Aug 20, 2026

Decision snapshot

Fallback candidate

60
Ready
Prototype
Stage

recent repository activity

Audit

Install review

Install and adoption review

72
Needs review
Security
71/100
Maintenance
100/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
Recent failure
Outcomes
0
Output quality
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Growth loop

Share kit

X

Scenario-led draft for game-architect, ready for a manual X post.

Curator note
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
Open X draft
Optional reply with install command
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

Listing source

Registry indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
Yuki001
Indexed by
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[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/yuki001-game-architect?metric=listed&label=Listed)](https://www.openagentskill.com/skills/yuki001-game-architect)
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[![Agent Proven](https://www.openagentskill.com/api/badge/yuki001-game-architect?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/yuki001-game-architect)

Author

Y

Yuki001

@yuki001

Platform fit

Health signals

GitHub stars
57
Quality score
35/100
Last GitHub push
Aug 20, 2026
Framework hints
Unknown
OpenAgentSkill views
6
Install copies
0
Outbound clicks
0

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & safety

Do not auto-install

57
  • GitHub adoption57 GitHub starsCHECK
  • Stars/forks activity57 stars, 9 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenance2d since pushPASS
  • License clarityUnknownCHECK
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskdatabase surfacePASS