Creator · zenstory-ai
Last updated · Sep 2, 2026
Direct game art and creative vision. Turn GAME_DESIGN into a production-level ART_DIRECTION defining a recognizable visual style, camera and composition, world and character grammar, functional colour/light/material, HUD feedback, motion and transition specs, audio direction, and
Review then install
Install targets
Codex install prompt
Install the "game-art-direction" agent skill from https://github.com/zenstory-ai/novel-to-game/tree/main/skills/game-art-direction. 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: Direct game art and creative vision. Turn GAME_DESIGN into a production-level ART_DIRECTION defining a recognizable visual style, camera and composition, world and character grammar, functional colour/light/material, HUD feedback, motion and transition specs, audio direction, and a signature moment for every screen and mode. Use for what should the game look like, set the art direction, define the visual style. 游戏美术与创意方向。把 GAME_DESIGN 转成策划级 ART_DIRECTION,定义可辨识视觉风格、镜头构图、世界与角色语法、功能性色光材质、界面反馈、运动与转场规格、声音方向和每个界面/模式的签名游戏时刻。用于判断游戏应该长什么样、制定游戏美术方向等需求。 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-art-direction","task":"Install game-art-direction","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
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 zenstory-ai/novel-to-game --skill game-art-direction
Maintenance
fresh
13d since push
Risk
Safe to try
Quality score needs review
GitHub quality
746
75/100 Quality · 83/100 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
746 GitHub stars
Repo activity
746 stars, 107 forks
Maintenance
13d since push
License
MIT
Install
npx skills add zenstory-ai/novel-to-game --skill game-art-direction
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-art-directionDo not use when
Alternative
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Alternative
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npx skills add mvanhorn/last30days-skill -g
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npx skills add Imbad0202/academic-research-skills
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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.
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-art-direction%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20game-art-direction%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/zenstory-ai-game-art-direction/install
Agent should check
Copy prompt
Task: Use game-art-direction in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20game-art-direction%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/zenstory-ai-game-art-direction/install
Install command: npx skills add zenstory-ai/novel-to-game --skill game-art-direction
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-art-direction/install
LLM text format
/api/skills/zenstory-ai-game-art-direction/install?format=text
Find alternatives
/api/skills/search?q=game-art-direction&limit=3
Agent prompt
Use game-art-direction for this task. Review https://www.openagentskill.com/api/skills/zenstory-ai-game-art-direction/install, then install with: npx skills add zenstory-ai/novel-to-game --skill game-art-directionRegistry 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-art-direction
LLM text
/api/registry/manifest/zenstory-ai-game-art-direction?format=text
Install alias
/api/registry/install/zenstory-ai-game-art-direction
Recommend
/api/registry/recommend?task=Use%20game-art-direction%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
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
Research agents
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
INFO746 GitHub stars
Stars/forks activity
INFO746 stars, 107 forks; issue activity unavailable in current metadata
Recent maintenance
PASS13d 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
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Create assets
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Process rich media
I need my agent to process images, video, or audio and extract useful information.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
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.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
A relentless interview to sharpen a plan or design.
--- name: game-art-direction description: "Direct game art and creative vision. Turn GAME_DESIGN into a production-level ART_DIRECTION defining a recognizable visual style, camera and composition, world and character grammar, functional colour/light/material, HUD feedback, motion and transition specs, audio direction, and a signature moment for every screen and mode. Use for what should the game look like, set the art direction, define the visual style. 游戏美术与创意方向。把 GAME_DESIGN 转成策划级 ART_DIRECTION,定义可辨识视觉风格、镜头构图、世界与角色语法、功能性色光材质、界面反馈、运动与转场规格、声音方向和每个界面/模式的签名游戏时刻。用于判断游戏应该长什么样、制定游戏美术方向等需求。" --- # 游戏美术与创意方向
定义玩家最终看见、听见和读懂的体验;资产怎样生产、使用什么渲染库、模型或供应商由构建阶段决定。
读取 [art-direction-method.md](references/art-direction-method.md)。必须已有 `GAME_DESIGN.md` 与 `PRODUCT_BRIEF.md`;视觉服务玩法,不能用漂亮参考图重写游戏。
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。
继承目标平台、视口/朝向、画风、内容尺度、`targetFinish` 与 `experienceProfile`。视觉参考只借 声明的构图、材质、色光或信息原则,不复制他作角色、地图、界面和资产。原作文化与目标市场分别 研究,不用流行刻板符号替代原作身份。
默认不得把“高级、电影感、成人、历史、严肃”翻译成全局低曝光。除非原作依据、产品承诺或核心玩法 明确属于恐怖、黑色、潜行、灾难等低照度题材,否则首屏与核心循环应保持可辨的中高明度,并用局部 对比、材质、构图和功能性色表达压力。夜景也必须看清人物轮廓、关键器物、可行动目标与正文;不能让 黑幕、暗角、降饱和或烟雾同时吞掉信息。确需整体偏暗时,在 `ART_DIRECTION.md` 写出依据、受影响界面、 最低可读层级和亮度 fallback。
历史、神话、民俗等题材还要把“时代真实性”和“当代审美媒介”分开裁决。用户要现代人喜欢的古风, 不等于批准现代服装、摄影棚、品牌海报、几何背景或真人皮肤;用户否决古旧感,也不等于必须抛弃古代 空间、器物、发式和关系礼法。先锁世界属于哪个时代,再锁画面是古画复刻、二维游戏插画、动画化角色、 3D 场景或真人摄影中的哪一种媒介。高风险风格在批量生产前必须用一张实际目标图校准,并记录“太旧、 太现代、太真实、太幼态、太暗”等反向边界;未通过目标图时不得把同一偏差扩散到整批资产。
## 设计
1. 定义 3–5 个能否决错误方案的视觉原则和反向原则;时代题材分别锁定世界真实性、媒介风格与人物理想化程度; 2. 为玩家、目标、威胁、奖励和地标建立镜头、焦点、轮廓、尺度与密度语法; 3. 让颜色、光、材质和运动编码真实状态,并提供非颜色冗余、低动效表达与明度可读边界; 4. 定义首屏焦点、HUD 信息层级、输入反馈、结果分级、失败与结果状态; 5. 为环境、角色、交互物和关键道具定义共享世界语法与各自识别锚点; 6. 定义目标语言的字体覆盖、阅读顺序、文本密度与文化符号边界; 7. 为每个实际交互界面或模式描述一个招牌时刻,说明玩家动作、压力、焦点、前后节拍和界面; 8. 定义声音世界、功能反馈层级和音乐边界;语音只在确有独特价值时选择,并始终保留字幕/静音路径。
`narrative-led` 或 `hybrid` 的叙事层还要说明人物距离、朝向、遮挡和姿态如何表现关系变化;对白区 怎样保证阅读、历史回看、跳过与加速;隐藏关系或立场优先通过称呼、站位、可选行动和场景可达性 表达,不默认做成数字面板。
动态媒体只规定体验角色、触发状态、镜头两端必须接续的事实和静帧/低动效 fallback;生成资产只 规定风格、身份、构图和状态连续性。生产台账、调用、格式、缓存与接入属于构建阶段。
表现层读取已经裁决的状态、事件与知识权限:同一个“获得物件、隐瞒证词、公开承诺”可以换文字、镜头 或动画,但不能由表现代码另算一次效果,也不能向玩家或角色提前泄露未获知事实。
若 GAME_DESIGN 选择了 `signature_command`,界面必须区分玩家原表述、待补/被拒的候选、执行过程、 实际结果、留下的证物/见证和到期事项;输入已接收不能画成事情已经办成,部分完成或泄露也不能被成功 动画覆盖。
不要写着色器、拓扑、贴图规格、接口、文件格式教程或供应商参数。
## 输出
生成 `design/ART_DIRECTION.md`,包含:
- `targetFinish` 与视觉原则; - 镜头/构图、世界/角色/道具语法、功能性色光材质; - HUD、反馈、运动/转场、语言/文化与声音方向; - 各界面/模式的招牌时刻; - 必需与可降级资产,以及原创/授权边界和仍未确定的视觉风险。
只有 `targetFinish`、用户用途或高风险视觉问题确实需要时,才追加 `design/VISUAL_TARGETS.md` 与少量 持久目标图;文字方向本身不因缺图片工具而失效。采用语音或动态媒体时只在 ART_DIRECTION 中补方向 条目,不建立生产级空表。
交付前确认:玩家一眼能找到当前动作与压力;非低照度题材没有用全局压暗冒充气氛;夜景仍能辨认 人物、器物、目标与正文;招牌时刻在实际界面而非概念海报中成立;方向覆盖核心循环、失败和结果; 构建无需重新发明风格或反馈,但仍保有实现自由。
Source provenance
Decision snapshot
746 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-art-direction, ready for a manual X post.
A practical pick for design or creative work: game-art-direction: Direct game art and creative vision. Turn GAME_DESIGN into a production-level ART_DIRECTION defining a recognizable visual... 746 stars https://www.openagentskill.com/skills/zenstory-ai-game-art-direction?ref=x
Listing + install path for game-art-direction: https://www.openagentskill.com/skills/zenstory-ai-game-art-direction?ref=x Install: npx skills add zenstory-ai/novel-to-game --skill game-art-direction
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Review then install
mono-color
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no high-risk permission surface in public metadata
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No agent outcome data yet
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Usable metadata, review docs
Risk summary
Install readiness