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Game Design Novelty Spectrum Audit

作者 Stanislav Stankovic · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install game-design-novelty-spectrum-audit
功能描述
Evaluate a game design, feature proposal, system concept, pitch, or prototype on the novelty spectrum between too familiar and too novel. Use when assessing...
使用说明 (SKILL.md)

Game Design Novelty Spectrum Audit

Evaluate whether a design is innovating in the right way, at the right intensity, for the right audience.

Use this skill to assess how a proposal sits on the spectrum between overly familiar and overly novel. The goal is not to praise originality for its own sake. The goal is to judge whether the design balances novelty against player expectations strongly enough to feel fresh, but not so aggressively that it creates avoidable cognitive dissonance or adoption risk.

Read references/mental-model-layers.md when identifying which player expectations matter most. Read references/innovation-patterns.md when classifying what kind of novelty the design is attempting. Read references/verdict-scale.md when selecting a final novelty-spectrum judgment.

What to produce

Produce:

  1. Concept read - what the design is trying to be
  2. Familiarity anchors - what players will immediately recognize
  3. Novel elements - what is genuinely different
  4. Innovation pattern - what kind of innovation is happening
  5. Novelty spectrum verdict - where the design sits between too familiar and too novel
  6. Expectation clashes - where player mental models may resist the design
  7. Adjustment recommendation - what to increase, reduce, simplify, or communicate differently

Process

1. Read the concept through the lens of player expectations

Clarify:

  • what the proposal is trying to offer players
  • what audience it seems to target
  • what genre, fantasy, or product context frames player expectations
  • whether the pitch is leaning on familiarity, novelty, or both

2. Identify the familiarity anchors

Look for the parts of the concept that already fit player mental models. These may include:

  • recognizable fantasy or setting
  • familiar control patterns
  • established genre loops
  • common progression structures
  • known PvP, PvE, crafting, deckbuilding, roguelite, or battle-pass conventions
  • franchise or brand expectations

3. Identify the novelty sources

Ask what is actually new here. Distinguish between:

  • cosmetic novelty
  • thematic novelty
  • interaction novelty
  • systemic novelty
  • social/meta novelty
  • packaging or framing novelty

Do not mistake polish, setting swap, or tone shift for deep innovation unless it really changes player experience.

4. Classify the innovation pattern

Use one or more of these patterns:

  • Incremental innovation - improving an existing design lineage
  • Recombination - combining established elements from different sources
  • Simplification - removing complexity to create a more accessible or elegant version
  • Radical break - departing sharply from established expectations

Prefer the dominant pattern rather than force every category at once.

5. Judge the novelty balance

Decide whether the design is:

  • too derivative to stand out
  • familiar but differentiated enough
  • balanced well between old and new
  • exciting but risky
  • likely too novel for the target audience or context

6. Surface expectation collisions

Identify where mental models may reject the concept. Common clashes include:

  • genre expectations violated without support
  • controls or interactions that feel wrong before they feel interesting
  • fantasy promise undermined by unfamiliar systems
  • too many unfamiliar layers stacked at once
  • innovations that demand learning before the player cares enough to learn

7. Recommend adjustment

Suggest the strongest next move, such as:

  • add one stronger novelty hook
  • reduce novelty load in one layer
  • anchor the idea harder in familiar structures
  • simplify the innovation
  • communicate the novelty better in onboarding or marketing
  • prototype the riskiest novelty first

Response structure

Concept Read

  • ...

Familiarity Anchors

  • ...

Novel Elements

  • ...

Innovation Pattern

  • ...

Novelty Spectrum Verdict

  • ...

Where Player Expectations May Clash

  • ...

Recommended Adjustment

  • ...

Fast mode

  • What will players instantly recognize?
  • What is actually new here?
  • Is the novelty mostly incremental, recombinational, simplifying, or radical?
  • Is the design too safe, well balanced, or too dissonant?
  • What one adjustment would improve its novelty balance most?

Style rules

  • Do not worship novelty.
  • Do not assume familiarity is automatically safe.
  • Distinguish clearly between deep innovation and surface differentiation.
  • Tie judgments to player expectations, not abstract design taste.
  • If the concept is strong but risky, say where the risk sits.
  • If the concept is too derivative, say why players may not care enough.

Working principle

Good innovation in games is rarely pure invention. It usually succeeds by balancing what players already understand with what feels meaningfully fresh.

安全使用建议
This skill appears coherent and low-risk: it only reads its included reference docs and asks the agent to produce a design audit. Before installing, consider provenance: the owner and homepage are not provided, so if you require vendor accountability you may want to verify the source first. Do not paste confidential or secret material into prompts you send to any third-party skill; this skill itself does not request credentials or make external network calls according to the package contents.
功能分析
Type: OpenClaw Skill Name: game-design-novelty-spectrum-audit Version: 1.0.0 The skill bundle is a purely instructional framework designed to guide an AI agent in evaluating game design concepts based on novelty and player expectations. It consists entirely of Markdown documentation (SKILL.md and reference files) and contains no executable code, network requests, file system operations, or attempts at malicious prompt injection.
能力标签
crypto
能力评估
Purpose & Capability
The skill's name and description (game-design novelty audit) align with its contents: an instruction document plus three internal reference files. It requires no binaries, env vars, or external services. Note: the package has no homepage and the source/owner provenance is unknown, which is a trust/provenance note but not an incoherence with capability.
Instruction Scope
SKILL.md directs the agent to read only the included references and produce a structured analysis (concept read, familiarity anchors, novel elements, etc.). There are no instructions to read system files, access environment variables, contact external endpoints, or exfiltrate data.
Install Mechanism
There is no install spec and no code files to install or execute. Being instruction-only, it does not perform downloads or create on-disk artifacts.
Credentials
The skill declares no required environment variables, credentials, or config paths. That is proportionate for a game-design auditing tool which only needs the concept text provided at runtime.
Persistence & Privilege
always is false and disable-model-invocation is false (normal). Autonomous invocation is allowed by default but the skill has no external access or secrets, so its potential blast radius is minimal.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install game-design-novelty-spectrum-audit
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /game-design-novelty-spectrum-audit 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release: evaluates game concepts and features on the familiarity-versus-novelty spectrum using player mental models and innovation patterns.
元数据
Slug game-design-novelty-spectrum-audit
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Game Design Novelty Spectrum Audit 是什么?

Evaluate a game design, feature proposal, system concept, pitch, or prototype on the novelty spectrum between too familiar and too novel. Use when assessing... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 91 次。

如何安装 Game Design Novelty Spectrum Audit?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install game-design-novelty-spectrum-audit」即可一键安装,无需额外配置。

Game Design Novelty Spectrum Audit 是免费的吗?

是的,Game Design Novelty Spectrum Audit 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Game Design Novelty Spectrum Audit 支持哪些平台?

Game Design Novelty Spectrum Audit 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Game Design Novelty Spectrum Audit?

由 Stanislav Stankovic(@stanestane)开发并维护,当前版本 v1.0.0。

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