Creator · zenstory-ai
Last updated · Sep 5, 2026
Design game experience, systems, and levels. Converge the chosen concept into one GAME_DESIGN defining the player promise, core loop, how the world responds, the systems actually needed, level pacing, feedback, failure, and a fully playable prototype. Use for design the game worl
Creator · zenstory-ai
Last updated · Sep 5, 2026
Design game experience, systems, and levels. Converge the chosen concept into one GAME_DESIGN defining the player promise, core loop, how the world responds, the systems actually needed, level pacing, feedback, failure, and a fully playable prototype. Use for design the game worl
Creator · zenstory-ai
Last updated · Sep 5, 2026
Design game experience, systems, and levels. Converge the chosen concept into one GAME_DESIGN defining the player promise, core loop, how the world responds, the systems actually needed, level pacing, feedback, failure, and a fully playable prototype. Use for design the game worl
Creator · zenstory-ai
Last updated · Sep 5, 2026
Design game experience, systems, and levels. Converge the chosen concept into one GAME_DESIGN defining the player promise, core loop, how the world responds, the systems actually needed, level pacing, feedback, failure, and a fully playable prototype. Use for design the game worl
Review then install
Install targets
Codex install prompt
Install the "game-world-design" agent skill from https://github.com/zenstory-ai/novel-to-game/tree/main/skills/game-world-design. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Design game experience, systems, and levels. Converge the chosen concept into one GAME_DESIGN defining the player promise, core loop, how the world responds, the systems actually needed, level pacing, feedback, failure, and a fully playable prototype. Use for design the game world, deepen the gameplay and levels, write the game design document, design the branching story structure, scenes, dialogue and consequences. 游戏体验、系统与关卡策划。把选定概念收束为一份 GAME_DESIGN,定义玩家承诺、核心循环、世界响应、必要系统、关卡节奏、反馈、失败和可完整游玩的原型。用于设计游戏世界、深化玩法和关卡、设计互动叙事的场景对白与分支因果等需求。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"zenstory-ai-game-world-design","task":"Install game-world-design","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add zenstory-ai/novel-to-game --skill game-world-design
Maintenance
fresh
1d since push
Risk
Safe to try
Quality score needs review
GitHub quality
755
76/100 Quality · 82/100 Trust
Coverage tags
Review notes
Quality score needs review
Agent adoption scorecard
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
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Safe to tryA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
755 GitHub stars
Repo activity
755 stars, 107 forks
Maintenance
1d since push
License
MIT
Install
npx skills add zenstory-ai/novel-to-game --skill game-world-design
Install safety
Agent-readable metadata
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.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add zenstory-ai/novel-to-game --skill game-world-designDo not use when
Alternative
174.6K Stars
npx skills add anthropics/skills --skill frontend-design
Alternative
84.6K Stars
npx skills add Leonxlnx/taste-skill --skill design-taste-frontend
Alternative
1.8K Stars
npx skills add Alisa0808/vox-director --skill vox-director
Alternative
174.6K Stars
npx skills add anthropics/skills --skill canvas-design
Agent safety v2
Good audit and safety signals with no high-risk permission hints in public metadata.
Review the audit page, then allow agent install in a sandboxed workflow.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
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 JSON
/api/agent/resolve?task=Use%20game-world-design%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20game-world-design%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/zenstory-ai-game-world-design/install
Agent should check
Copy prompt
Task: Use game-world-design in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20game-world-design%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/zenstory-ai-game-world-design/install
Install command: npx skills add zenstory-ai/novel-to-game --skill game-world-design
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/zenstory-ai-game-world-design/install
LLM text format
/api/skills/zenstory-ai-game-world-design/install?format=text
Find alternatives
/api/skills/search?q=game-world-design&limit=3
Agent prompt
Use game-world-design for this task. Review https://www.openagentskill.com/api/skills/zenstory-ai-game-world-design/install, then install with: npx skills add zenstory-ai/novel-to-game --skill game-world-designRegistry metadata
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.
Manifest
/api/registry/manifest/zenstory-ai-game-world-design
LLM text
/api/registry/manifest/zenstory-ai-game-world-design?format=text
Install alias
/api/registry/install/zenstory-ai-game-world-design
Recommend
/api/registry/recommend?task=Use%20game-world-design%20in%20an%20agent%20workflow&limit=3
Agent fit
Testing and QA
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Testing and QA
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
INFO755 GitHub stars
Stars/forks activity
INFO755 stars, 107 forks; issue activity unavailable in current metadata
Recent maintenance
PASS1d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Verify behavior
I need my agent to test a web app, reproduce bugs, and verify fixes.
Create assets
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Workflow fit
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Alternative shortlist
Similar skills that may fit this task.
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Turn one topic into a narrated Vox-style paper-collage explainer or ad video, from script through captions.
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
--- name: game-world-design description: "Design game experience, systems, and levels. Converge the chosen concept into one GAME_DESIGN defining the player promise, core loop, how the world responds, the systems actually needed, level pacing, feedback, failure, and a fully playable prototype. Use for design the game world, deepen the gameplay and levels, write the game design document, design the branching story structure, scenes, dialogue and consequences. 游戏体验、系统与关卡策划。把选定概念收束为一份 GAME_DESIGN,定义玩家承诺、核心循环、世界响应、必要系统、关卡节奏、反馈、失败和可完整游玩的原型。用于设计游戏世界、深化玩法和关卡、设计互动叙事的场景对白与分支因果等需求。" --- # 游戏体验与世界设计
把选定概念变成可实现的玩家体验,不写世界观百科、工程方案或美术方向。
输入必须包含 `SOURCE_BIBLE.md`、已选择的 `CONCEPT.md` 和 `PRODUCT_BRIEF.md`。读取 [world-design-method.md](references/world-design-method.md);确有资源、门槛或难度时再读 [numeric-design-method.md](references/numeric-design-method.md)。
`narrative-led` 或 `hybrid` 的叙事层同读 [narrative-design-method.md](references/narrative-design-method.md) 与 [dialogue-design-method.md](references/dialogue-design-method.md)。需要玩家可见文案时按 [game-writing-craft.md](references/game-writing-craft.md) 统一声口,不为所有项目强制写长篇对白。
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。
## 设计原则
- 保护 CONCEPT 的玩家承诺、`experienceProfile` 和不可妥协项;发现范围冲突时回上游修订。 - 最小切片默认 10–30 分钟且不超过 brief 时长;系统预算、因果句式与关卡节拍按 world-design-method。 - 不写文件名、函数、存储键、测试脚本、着色器或资产管线;实现结构由构建阶段决定。
## 输出合同
生成一个 `design/GAME_DESIGN.md`,保持紧凑并包含:
1. **体验与循环合同**:玩家身份、承诺、目标感受、`experienceProfile`、首分钟目标、3–5 个核心动词、 短/长循环和主要玩法先例,以及原作如何改变动作对象、顺序、代价和世界回应; 2. **世界规则与成长**:玩家可见/隐藏信息、行动顺序、随机性、资源或持久状态及其读取点;探索、成长、 成熟阶段新增的参与手段、可达空间或局面,以及可观察结束标记; 3. **决策与关卡节拍**:用一个场景证明最优选择会随局面翻转并写清因果权与结算权;说明路线、地标、 压力、教学、组合和检验如何制造选择; 4. **反馈、失败与重开**:输入反馈、状态变化、失败原因、下次可改之处和定义初态; 5. **叙事附件**:仅在叙事实际承载体验时写场景脊柱、人物议程、知识/证词边界、持久回响、 分支汇流和结局回收;否则写 N/A; 6. **语言、文化与交接边界**:界面语言、术语、阅读顺序、内容尺度,以及交给美术和构建的玩家效果; 7. **可执行切片合同**:最大设计风险、与风险匹配的原型形态、最小状态面、关键动作的前置/效果/观察者、 会被后续读取的事件,以及固定初态、seed、输入序列、预期状态与反馈;若概念选择了 `signature_command`,固定 `id / label / intents / slots / validators / commit` 六组最小结构,再追加 澄清与拒绝条件、委托执行链、实际结果、证物/知情变化和到期回响; 8. **验证切片**:范围、明确非目标、完整路径和会触发设计修改的观察结果。
规则优先用短表表达,不复制成平行 JSON、go/no-go 表或第二份验收矩阵。
## 完成检查
按 world-design-method 反向走读可执行闭环、世界回响、三段弧、重放与范围;存在叙事或专属命令时, 再按对应方法检查知识、分支、人物行动、解析候选与实际执行没有串线。只交付设计合同,不替实现选技术, 也不把趣味或平衡写成确定性 PASS。
输出交回总入口,不自行推进美术、构建或 QA。
Source provenance
Decision snapshot
755 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
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
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for game-world-design, ready for a manual X post.
A practical pick for design or creative work: game-world-design: Design game experience, systems, and levels. Converge the chosen concept into one GAME_DESIGN defining the player promise,... 755 stars https://www.openagentskill.com/skills/zenstory-ai-game-world-design?ref=x
Listing + install path for game-world-design: https://www.openagentskill.com/skills/zenstory-ai-game-world-design?ref=x Install: npx skills add zenstory-ai/novel-to-game --skill game-world-design
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to zenstory-ai but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/zenstory-ai-game-world-design?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/zenstory-ai-game-world-design?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/zenstory-ai-game-world-design/audit)
[](https://www.openagentskill.com/skills/zenstory-ai-game-world-design?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)zenstory-ai
@zenstory-ai
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
174.6K StarsTaste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
84.6K StarsVox Director
Turn one topic into a narrated Vox-style paper-collage explainer or ad video, from script through captions.
1.8K StarsCanvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
174.6K StarsReview then install
Install targets
Codex install prompt
Install the "game-world-design" agent skill from https://github.com/zenstory-ai/novel-to-game/tree/main/skills/game-world-design. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Design game experience, systems, and levels. Converge the chosen concept into one GAME_DESIGN defining the player promise, core loop, how the world responds, the systems actually needed, level pacing, feedback, failure, and a fully playable prototype. Use for design the game world, deepen the gameplay and levels, write the game design document, design the branching story structure, scenes, dialogue and consequences. 游戏体验、系统与关卡策划。把选定概念收束为一份 GAME_DESIGN,定义玩家承诺、核心循环、世界响应、必要系统、关卡节奏、反馈、失败和可完整游玩的原型。用于设计游戏世界、深化玩法和关卡、设计互动叙事的场景对白与分支因果等需求。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"zenstory-ai-game-world-design","task":"Install game-world-design","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add zenstory-ai/novel-to-game --skill game-world-design
Maintenance
fresh
1d since push
Risk
Safe to try
Quality score needs review
GitHub quality
755
76/100 Quality · 82/100 Trust
Coverage tags
Review notes
Quality score needs review
Agent adoption scorecard
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
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Safe to tryA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
755 GitHub stars
Repo activity
755 stars, 107 forks
Maintenance
1d since push
License
MIT
Install
npx skills add zenstory-ai/novel-to-game --skill game-world-design
Install safety
Agent-readable metadata
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.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add zenstory-ai/novel-to-game --skill game-world-designDo not use when
Alternative
174.6K Stars
npx skills add anthropics/skills --skill frontend-design
Alternative
84.6K Stars
npx skills add Leonxlnx/taste-skill --skill design-taste-frontend
Alternative
1.8K Stars
npx skills add Alisa0808/vox-director --skill vox-director
Alternative
174.6K Stars
npx skills add anthropics/skills --skill canvas-design
Agent safety v2
Good audit and safety signals with no high-risk permission hints in public metadata.
Review the audit page, then allow agent install in a sandboxed workflow.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
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 JSON
/api/agent/resolve?task=Use%20game-world-design%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20game-world-design%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/zenstory-ai-game-world-design/install
Agent should check
Copy prompt
Task: Use game-world-design in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20game-world-design%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/zenstory-ai-game-world-design/install
Install command: npx skills add zenstory-ai/novel-to-game --skill game-world-design
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/zenstory-ai-game-world-design/install
LLM text format
/api/skills/zenstory-ai-game-world-design/install?format=text
Find alternatives
/api/skills/search?q=game-world-design&limit=3
Agent prompt
Use game-world-design for this task. Review https://www.openagentskill.com/api/skills/zenstory-ai-game-world-design/install, then install with: npx skills add zenstory-ai/novel-to-game --skill game-world-designRegistry metadata
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.
Manifest
/api/registry/manifest/zenstory-ai-game-world-design
LLM text
/api/registry/manifest/zenstory-ai-game-world-design?format=text
Install alias
/api/registry/install/zenstory-ai-game-world-design
Recommend
/api/registry/recommend?task=Use%20game-world-design%20in%20an%20agent%20workflow&limit=3
Agent fit
Testing and QA
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Testing and QA
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
INFO755 GitHub stars
Stars/forks activity
INFO755 stars, 107 forks; issue activity unavailable in current metadata
Recent maintenance
PASS1d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Verify behavior
I need my agent to test a web app, reproduce bugs, and verify fixes.
Create assets
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Workflow fit
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Alternative shortlist
Similar skills that may fit this task.
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Turn one topic into a narrated Vox-style paper-collage explainer or ad video, from script through captions.
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
--- name: game-world-design description: "Design game experience, systems, and levels. Converge the chosen concept into one GAME_DESIGN defining the player promise, core loop, how the world responds, the systems actually needed, level pacing, feedback, failure, and a fully playable prototype. Use for design the game world, deepen the gameplay and levels, write the game design document, design the branching story structure, scenes, dialogue and consequences. 游戏体验、系统与关卡策划。把选定概念收束为一份 GAME_DESIGN,定义玩家承诺、核心循环、世界响应、必要系统、关卡节奏、反馈、失败和可完整游玩的原型。用于设计游戏世界、深化玩法和关卡、设计互动叙事的场景对白与分支因果等需求。" --- # 游戏体验与世界设计
把选定概念变成可实现的玩家体验,不写世界观百科、工程方案或美术方向。
输入必须包含 `SOURCE_BIBLE.md`、已选择的 `CONCEPT.md` 和 `PRODUCT_BRIEF.md`。读取 [world-design-method.md](references/world-design-method.md);确有资源、门槛或难度时再读 [numeric-design-method.md](references/numeric-design-method.md)。
`narrative-led` 或 `hybrid` 的叙事层同读 [narrative-design-method.md](references/narrative-design-method.md) 与 [dialogue-design-method.md](references/dialogue-design-method.md)。需要玩家可见文案时按 [game-writing-craft.md](references/game-writing-craft.md) 统一声口,不为所有项目强制写长篇对白。
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。
## 设计原则
- 保护 CONCEPT 的玩家承诺、`experienceProfile` 和不可妥协项;发现范围冲突时回上游修订。 - 最小切片默认 10–30 分钟且不超过 brief 时长;系统预算、因果句式与关卡节拍按 world-design-method。 - 不写文件名、函数、存储键、测试脚本、着色器或资产管线;实现结构由构建阶段决定。
## 输出合同
生成一个 `design/GAME_DESIGN.md`,保持紧凑并包含:
1. **体验与循环合同**:玩家身份、承诺、目标感受、`experienceProfile`、首分钟目标、3–5 个核心动词、 短/长循环和主要玩法先例,以及原作如何改变动作对象、顺序、代价和世界回应; 2. **世界规则与成长**:玩家可见/隐藏信息、行动顺序、随机性、资源或持久状态及其读取点;探索、成长、 成熟阶段新增的参与手段、可达空间或局面,以及可观察结束标记; 3. **决策与关卡节拍**:用一个场景证明最优选择会随局面翻转并写清因果权与结算权;说明路线、地标、 压力、教学、组合和检验如何制造选择; 4. **反馈、失败与重开**:输入反馈、状态变化、失败原因、下次可改之处和定义初态; 5. **叙事附件**:仅在叙事实际承载体验时写场景脊柱、人物议程、知识/证词边界、持久回响、 分支汇流和结局回收;否则写 N/A; 6. **语言、文化与交接边界**:界面语言、术语、阅读顺序、内容尺度,以及交给美术和构建的玩家效果; 7. **可执行切片合同**:最大设计风险、与风险匹配的原型形态、最小状态面、关键动作的前置/效果/观察者、 会被后续读取的事件,以及固定初态、seed、输入序列、预期状态与反馈;若概念选择了 `signature_command`,固定 `id / label / intents / slots / validators / commit` 六组最小结构,再追加 澄清与拒绝条件、委托执行链、实际结果、证物/知情变化和到期回响; 8. **验证切片**:范围、明确非目标、完整路径和会触发设计修改的观察结果。
规则优先用短表表达,不复制成平行 JSON、go/no-go 表或第二份验收矩阵。
## 完成检查
按 world-design-method 反向走读可执行闭环、世界回响、三段弧、重放与范围;存在叙事或专属命令时, 再按对应方法检查知识、分支、人物行动、解析候选与实际执行没有串线。只交付设计合同,不替实现选技术, 也不把趣味或平衡写成确定性 PASS。
输出交回总入口,不自行推进美术、构建或 QA。
Source provenance
Decision snapshot
755 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
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
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for game-world-design, ready for a manual X post.
A practical pick for design or creative work: game-world-design: Design game experience, systems, and levels. Converge the chosen concept into one GAME_DESIGN defining the player promise,... 755 stars https://www.openagentskill.com/skills/zenstory-ai-game-world-design?ref=x
Listing + install path for game-world-design: https://www.openagentskill.com/skills/zenstory-ai-game-world-design?ref=x Install: npx skills add zenstory-ai/novel-to-game --skill game-world-design
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to zenstory-ai but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/zenstory-ai-game-world-design?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/zenstory-ai-game-world-design?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/zenstory-ai-game-world-design/audit)
[](https://www.openagentskill.com/skills/zenstory-ai-game-world-design?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)zenstory-ai
@zenstory-ai
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
174.6K StarsTaste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
84.6K StarsVox Director
Turn one topic into a narrated Vox-style paper-collage explainer or ad video, from script through captions.
1.8K StarsCanvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
174.6K StarsReview then install
Install targets
Codex install prompt
Install the "game-world-design" agent skill from https://github.com/zenstory-ai/novel-to-game/tree/main/skills/game-world-design. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Design game experience, systems, and levels. Converge the chosen concept into one GAME_DESIGN defining the player promise, core loop, how the world responds, the systems actually needed, level pacing, feedback, failure, and a fully playable prototype. Use for design the game world, deepen the gameplay and levels, write the game design document, design the branching story structure, scenes, dialogue and consequences. 游戏体验、系统与关卡策划。把选定概念收束为一份 GAME_DESIGN,定义玩家承诺、核心循环、世界响应、必要系统、关卡节奏、反馈、失败和可完整游玩的原型。用于设计游戏世界、深化玩法和关卡、设计互动叙事的场景对白与分支因果等需求。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"zenstory-ai-game-world-design","task":"Install game-world-design","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add zenstory-ai/novel-to-game --skill game-world-design
Maintenance
fresh
1d since push
Risk
Safe to try
Quality score needs review
GitHub quality
755
76/100 Quality · 82/100 Trust
Coverage tags
Review notes
Quality score needs review
Agent adoption scorecard
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
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Safe to tryA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
755 GitHub stars
Repo activity
755 stars, 107 forks
Maintenance
1d since push
License
MIT
Install
npx skills add zenstory-ai/novel-to-game --skill game-world-design
Install safety
Agent-readable metadata
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.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add zenstory-ai/novel-to-game --skill game-world-designDo not use when
Alternative
174.6K Stars
npx skills add anthropics/skills --skill frontend-design
Alternative
84.6K Stars
npx skills add Leonxlnx/taste-skill --skill design-taste-frontend
Alternative
1.8K Stars
npx skills add Alisa0808/vox-director --skill vox-director
Alternative
174.6K Stars
npx skills add anthropics/skills --skill canvas-design
Agent safety v2
Good audit and safety signals with no high-risk permission hints in public metadata.
Review the audit page, then allow agent install in a sandboxed workflow.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
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 JSON
/api/agent/resolve?task=Use%20game-world-design%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20game-world-design%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/zenstory-ai-game-world-design/install
Agent should check
Copy prompt
Task: Use game-world-design in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20game-world-design%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/zenstory-ai-game-world-design/install
Install command: npx skills add zenstory-ai/novel-to-game --skill game-world-design
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/zenstory-ai-game-world-design/install
LLM text format
/api/skills/zenstory-ai-game-world-design/install?format=text
Find alternatives
/api/skills/search?q=game-world-design&limit=3
Agent prompt
Use game-world-design for this task. Review https://www.openagentskill.com/api/skills/zenstory-ai-game-world-design/install, then install with: npx skills add zenstory-ai/novel-to-game --skill game-world-designRegistry metadata
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.
Manifest
/api/registry/manifest/zenstory-ai-game-world-design
LLM text
/api/registry/manifest/zenstory-ai-game-world-design?format=text
Install alias
/api/registry/install/zenstory-ai-game-world-design
Recommend
/api/registry/recommend?task=Use%20game-world-design%20in%20an%20agent%20workflow&limit=3
Agent fit
Testing and QA
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Testing and QA
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
INFO755 GitHub stars
Stars/forks activity
INFO755 stars, 107 forks; issue activity unavailable in current metadata
Recent maintenance
PASS1d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Verify behavior
I need my agent to test a web app, reproduce bugs, and verify fixes.
Create assets
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Workflow fit
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Alternative shortlist
Similar skills that may fit this task.
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Turn one topic into a narrated Vox-style paper-collage explainer or ad video, from script through captions.
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
--- name: game-world-design description: "Design game experience, systems, and levels. Converge the chosen concept into one GAME_DESIGN defining the player promise, core loop, how the world responds, the systems actually needed, level pacing, feedback, failure, and a fully playable prototype. Use for design the game world, deepen the gameplay and levels, write the game design document, design the branching story structure, scenes, dialogue and consequences. 游戏体验、系统与关卡策划。把选定概念收束为一份 GAME_DESIGN,定义玩家承诺、核心循环、世界响应、必要系统、关卡节奏、反馈、失败和可完整游玩的原型。用于设计游戏世界、深化玩法和关卡、设计互动叙事的场景对白与分支因果等需求。" --- # 游戏体验与世界设计
把选定概念变成可实现的玩家体验,不写世界观百科、工程方案或美术方向。
输入必须包含 `SOURCE_BIBLE.md`、已选择的 `CONCEPT.md` 和 `PRODUCT_BRIEF.md`。读取 [world-design-method.md](references/world-design-method.md);确有资源、门槛或难度时再读 [numeric-design-method.md](references/numeric-design-method.md)。
`narrative-led` 或 `hybrid` 的叙事层同读 [narrative-design-method.md](references/narrative-design-method.md) 与 [dialogue-design-method.md](references/dialogue-design-method.md)。需要玩家可见文案时按 [game-writing-craft.md](references/game-writing-craft.md) 统一声口,不为所有项目强制写长篇对白。
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。
## 设计原则
- 保护 CONCEPT 的玩家承诺、`experienceProfile` 和不可妥协项;发现范围冲突时回上游修订。 - 最小切片默认 10–30 分钟且不超过 brief 时长;系统预算、因果句式与关卡节拍按 world-design-method。 - 不写文件名、函数、存储键、测试脚本、着色器或资产管线;实现结构由构建阶段决定。
## 输出合同
生成一个 `design/GAME_DESIGN.md`,保持紧凑并包含:
1. **体验与循环合同**:玩家身份、承诺、目标感受、`experienceProfile`、首分钟目标、3–5 个核心动词、 短/长循环和主要玩法先例,以及原作如何改变动作对象、顺序、代价和世界回应; 2. **世界规则与成长**:玩家可见/隐藏信息、行动顺序、随机性、资源或持久状态及其读取点;探索、成长、 成熟阶段新增的参与手段、可达空间或局面,以及可观察结束标记; 3. **决策与关卡节拍**:用一个场景证明最优选择会随局面翻转并写清因果权与结算权;说明路线、地标、 压力、教学、组合和检验如何制造选择; 4. **反馈、失败与重开**:输入反馈、状态变化、失败原因、下次可改之处和定义初态; 5. **叙事附件**:仅在叙事实际承载体验时写场景脊柱、人物议程、知识/证词边界、持久回响、 分支汇流和结局回收;否则写 N/A; 6. **语言、文化与交接边界**:界面语言、术语、阅读顺序、内容尺度,以及交给美术和构建的玩家效果; 7. **可执行切片合同**:最大设计风险、与风险匹配的原型形态、最小状态面、关键动作的前置/效果/观察者、 会被后续读取的事件,以及固定初态、seed、输入序列、预期状态与反馈;若概念选择了 `signature_command`,固定 `id / label / intents / slots / validators / commit` 六组最小结构,再追加 澄清与拒绝条件、委托执行链、实际结果、证物/知情变化和到期回响; 8. **验证切片**:范围、明确非目标、完整路径和会触发设计修改的观察结果。
规则优先用短表表达,不复制成平行 JSON、go/no-go 表或第二份验收矩阵。
## 完成检查
按 world-design-method 反向走读可执行闭环、世界回响、三段弧、重放与范围;存在叙事或专属命令时, 再按对应方法检查知识、分支、人物行动、解析候选与实际执行没有串线。只交付设计合同,不替实现选技术, 也不把趣味或平衡写成确定性 PASS。
输出交回总入口,不自行推进美术、构建或 QA。
Source provenance
Decision snapshot
755 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
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
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for game-world-design, ready for a manual X post.
A practical pick for design or creative work: game-world-design: Design game experience, systems, and levels. Converge the chosen concept into one GAME_DESIGN defining the player promise,... 755 stars https://www.openagentskill.com/skills/zenstory-ai-game-world-design?ref=x
Listing + install path for game-world-design: https://www.openagentskill.com/skills/zenstory-ai-game-world-design?ref=x Install: npx skills add zenstory-ai/novel-to-game --skill game-world-design
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to zenstory-ai but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/zenstory-ai-game-world-design?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/zenstory-ai-game-world-design?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/zenstory-ai-game-world-design/audit)
[](https://www.openagentskill.com/skills/zenstory-ai-game-world-design?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)zenstory-ai
@zenstory-ai
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
174.6K StarsTaste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
84.6K StarsVox Director
Turn one topic into a narrated Vox-style paper-collage explainer or ad video, from script through captions.
1.8K StarsCanvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
174.6K StarsReview then install
Install targets
Codex install prompt
Install the "game-world-design" agent skill from https://github.com/zenstory-ai/novel-to-game/tree/main/skills/game-world-design. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Design game experience, systems, and levels. Converge the chosen concept into one GAME_DESIGN defining the player promise, core loop, how the world responds, the systems actually needed, level pacing, feedback, failure, and a fully playable prototype. Use for design the game world, deepen the gameplay and levels, write the game design document, design the branching story structure, scenes, dialogue and consequences. 游戏体验、系统与关卡策划。把选定概念收束为一份 GAME_DESIGN,定义玩家承诺、核心循环、世界响应、必要系统、关卡节奏、反馈、失败和可完整游玩的原型。用于设计游戏世界、深化玩法和关卡、设计互动叙事的场景对白与分支因果等需求。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"zenstory-ai-game-world-design","task":"Install game-world-design","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add zenstory-ai/novel-to-game --skill game-world-design
Maintenance
fresh
1d since push
Risk
Safe to try
Quality score needs review
GitHub quality
755
76/100 Quality · 82/100 Trust
Coverage tags
Review notes
Quality score needs review
Agent adoption scorecard
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
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Safe to tryA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
755 GitHub stars
Repo activity
755 stars, 107 forks
Maintenance
1d since push
License
MIT
Install
npx skills add zenstory-ai/novel-to-game --skill game-world-design
Install safety
Agent-readable metadata
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.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add zenstory-ai/novel-to-game --skill game-world-designDo not use when
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Agent safety v2
Good audit and safety signals with no high-risk permission hints in public metadata.
Review the audit page, then allow agent install in a sandboxed workflow.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
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 JSON
/api/agent/resolve?task=Use%20game-world-design%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20game-world-design%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/zenstory-ai-game-world-design/install
Agent should check
Copy prompt
Task: Use game-world-design in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20game-world-design%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/zenstory-ai-game-world-design/install
Install command: npx skills add zenstory-ai/novel-to-game --skill game-world-design
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/zenstory-ai-game-world-design/install
LLM text format
/api/skills/zenstory-ai-game-world-design/install?format=text
Find alternatives
/api/skills/search?q=game-world-design&limit=3
Agent prompt
Use game-world-design for this task. Review https://www.openagentskill.com/api/skills/zenstory-ai-game-world-design/install, then install with: npx skills add zenstory-ai/novel-to-game --skill game-world-designRegistry metadata
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.
Manifest
/api/registry/manifest/zenstory-ai-game-world-design
LLM text
/api/registry/manifest/zenstory-ai-game-world-design?format=text
Install alias
/api/registry/install/zenstory-ai-game-world-design
Recommend
/api/registry/recommend?task=Use%20game-world-design%20in%20an%20agent%20workflow&limit=3
Agent fit
Testing and QA
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Testing and QA
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
INFO755 GitHub stars
Stars/forks activity
INFO755 stars, 107 forks; issue activity unavailable in current metadata
Recent maintenance
PASS1d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Verify behavior
I need my agent to test a web app, reproduce bugs, and verify fixes.
Create assets
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Workflow fit
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Alternative shortlist
Similar skills that may fit this task.
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Turn one topic into a narrated Vox-style paper-collage explainer or ad video, from script through captions.
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
--- name: game-world-design description: "Design game experience, systems, and levels. Converge the chosen concept into one GAME_DESIGN defining the player promise, core loop, how the world responds, the systems actually needed, level pacing, feedback, failure, and a fully playable prototype. Use for design the game world, deepen the gameplay and levels, write the game design document, design the branching story structure, scenes, dialogue and consequences. 游戏体验、系统与关卡策划。把选定概念收束为一份 GAME_DESIGN,定义玩家承诺、核心循环、世界响应、必要系统、关卡节奏、反馈、失败和可完整游玩的原型。用于设计游戏世界、深化玩法和关卡、设计互动叙事的场景对白与分支因果等需求。" --- # 游戏体验与世界设计
把选定概念变成可实现的玩家体验,不写世界观百科、工程方案或美术方向。
输入必须包含 `SOURCE_BIBLE.md`、已选择的 `CONCEPT.md` 和 `PRODUCT_BRIEF.md`。读取 [world-design-method.md](references/world-design-method.md);确有资源、门槛或难度时再读 [numeric-design-method.md](references/numeric-design-method.md)。
`narrative-led` 或 `hybrid` 的叙事层同读 [narrative-design-method.md](references/narrative-design-method.md) 与 [dialogue-design-method.md](references/dialogue-design-method.md)。需要玩家可见文案时按 [game-writing-craft.md](references/game-writing-craft.md) 统一声口,不为所有项目强制写长篇对白。
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。
## 设计原则
- 保护 CONCEPT 的玩家承诺、`experienceProfile` 和不可妥协项;发现范围冲突时回上游修订。 - 最小切片默认 10–30 分钟且不超过 brief 时长;系统预算、因果句式与关卡节拍按 world-design-method。 - 不写文件名、函数、存储键、测试脚本、着色器或资产管线;实现结构由构建阶段决定。
## 输出合同
生成一个 `design/GAME_DESIGN.md`,保持紧凑并包含:
1. **体验与循环合同**:玩家身份、承诺、目标感受、`experienceProfile`、首分钟目标、3–5 个核心动词、 短/长循环和主要玩法先例,以及原作如何改变动作对象、顺序、代价和世界回应; 2. **世界规则与成长**:玩家可见/隐藏信息、行动顺序、随机性、资源或持久状态及其读取点;探索、成长、 成熟阶段新增的参与手段、可达空间或局面,以及可观察结束标记; 3. **决策与关卡节拍**:用一个场景证明最优选择会随局面翻转并写清因果权与结算权;说明路线、地标、 压力、教学、组合和检验如何制造选择; 4. **反馈、失败与重开**:输入反馈、状态变化、失败原因、下次可改之处和定义初态; 5. **叙事附件**:仅在叙事实际承载体验时写场景脊柱、人物议程、知识/证词边界、持久回响、 分支汇流和结局回收;否则写 N/A; 6. **语言、文化与交接边界**:界面语言、术语、阅读顺序、内容尺度,以及交给美术和构建的玩家效果; 7. **可执行切片合同**:最大设计风险、与风险匹配的原型形态、最小状态面、关键动作的前置/效果/观察者、 会被后续读取的事件,以及固定初态、seed、输入序列、预期状态与反馈;若概念选择了 `signature_command`,固定 `id / label / intents / slots / validators / commit` 六组最小结构,再追加 澄清与拒绝条件、委托执行链、实际结果、证物/知情变化和到期回响; 8. **验证切片**:范围、明确非目标、完整路径和会触发设计修改的观察结果。
规则优先用短表表达,不复制成平行 JSON、go/no-go 表或第二份验收矩阵。
## 完成检查
按 world-design-method 反向走读可执行闭环、世界回响、三段弧、重放与范围;存在叙事或专属命令时, 再按对应方法检查知识、分支、人物行动、解析候选与实际执行没有串线。只交付设计合同,不替实现选技术, 也不把趣味或平衡写成确定性 PASS。
输出交回总入口,不自行推进美术、构建或 QA。
Source provenance
Decision snapshot
755 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
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
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for game-world-design, ready for a manual X post.
A practical pick for design or creative work: game-world-design: Design game experience, systems, and levels. Converge the chosen concept into one GAME_DESIGN defining the player promise,... 755 stars https://www.openagentskill.com/skills/zenstory-ai-game-world-design?ref=x
Listing + install path for game-world-design: https://www.openagentskill.com/skills/zenstory-ai-game-world-design?ref=x Install: npx skills add zenstory-ai/novel-to-game --skill game-world-design
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to zenstory-ai but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
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Review then install
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Agent outcomes
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Docs
Usable metadata, review docs
Risk summary
Install readiness
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Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness
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filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness
Permission surface
filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness