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game-design-player-segment-perception-audit游戏设计 玩家细分感知审核

Agent Skill

用于辅助界面设计、视觉规范、排版、配色、布局和交互体验优化。它适合让 Agent 根据产品场景整理页面结构、生成 UI 方案、检查视觉一致性或改进组件层级。使用时需要结合现有品牌、设计系统和用户任务,不应只堆装饰元素;涉及真实页面改动时,应通过截图或浏览器预览检查文本溢出、对齐和响应式表现。

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:game-design-player-segment-perception-audit(游戏设计 玩家细分感知审核)
来源仓库:https://github.com/stanestane/game-design-player-segment-perception-audit
安装命令:
openclaw skills install game-design-player-segment-perception-audit
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install game-design-player-segment-perception-audit

简介

评估不同玩家群体对功能更新的可能反应。

  • 适用于内容掉落、路线图变更或事件设计的包容性分析。
  • 识别潜在误解或负面感知风险。
  • 建议配合用户分层数据使用,提升决策准确性。
  • game-design-player-segment-perception-audit 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
game-design-player-segment-perception-audit
description
Audit a game feature, live update, roadmap item, event, or content drop by how different player segments are likely to perceive it. Use when a feature is aimed at one cohort but visible to others, when update messaging may create excitement for players who cannot meaningfully access the feature, or when you need to understand how new, mid, and elder players will read the same feature differently.

Game Design Player Segment Perception Audit

Check not only who the feature is for, but who will see it, misunderstand it, resent it, or feel left out by it.

Use this skill to audit a feature through the eyes of different player segments. The goal is not to please every segment equally. The goal is to understand who the feature is actually serving, what other groups will perceive, and where update visibility, access, and expectation can create disappointment or wasted communication.

Read references/segment-layers.md when mapping the main audience groups. Read references/perception-failures.md when diagnosing common update-perception mistakes. Read references/recommendation-patterns.md when deciding how to adjust targeting, access, or messaging.

What to produce

Produce:

  1. Feature read - what the feature is and who it seems intended for
  2. Target segment read - which cohort is supposed to care most and why
  3. Cross-segment perception - how other player groups are likely to interpret it
  4. Access and visibility mismatch - who will hear about it versus who can actually use it
  5. Risk diagnosis - what disappointment, alienation, or wasted hype may result
  6. Recommendation - how to retarget, reframe, gate, soften, or broaden the feature rollout

Process

1. Clarify the feature and its intended audience

Ask:

  • what is being added or changed?
  • which player segment is the real target?
  • why would that segment care?
  • what specific value does the feature create for them?

2. Map the main player segments

At minimum consider:

  • new players
  • midgame players
  • elder/endgame players

Also consider when relevant:

  • free players
  • spenders
  • competitive players
  • collectors
  • social players
  • lapsed returners

3. Audit visibility versus access

Check:

  • who will see this feature in patch notes, ads, art, store pages, or UI surfaces?
  • who can actually access it soon?
  • who must wait, grind, pay, or reach a threshold first?
  • is the feature headline content for players who cannot meaningfully touch it?

4. Audit perception by segment

For each important segment ask:

  • will they care?
  • will they understand why it matters?
  • will they feel invited, excluded, indifferent, or misled?
  • does the update strengthen their sense of future aspiration or create disappointment?

5. Diagnose mismatch risk

Look for patterns such as:

  • excitement generated for the wrong audience
  • feature aimed at elder players but marketed broadly to everyone
  • midgame players ignored even though they are the pipeline to elder status
  • access friction turning aspiration into resentment
  • feature value obvious only to one cohort while others see noise

6. Recommend a better segment strategy

Possible moves:

  • target communications more narrowly
  • create smaller companion value for non-target segments
  • adjust unlock timing or access path
  • reduce visible hype for inaccessible content
  • provide aspiration framing without overpromising immediate relevance

Response structure

Feature Read

  • ...

Target Segment Read

  • ...

Cross-Segment Perception

  • ...

Access and Visibility Mismatch

  • ...

Risk Diagnosis

  • ...

Recommendation

  • ...

Fast mode

  • Who is this really for?
  • Who else will see it?
  • Who will care, who will not, and who will feel disappointed?
  • Is the visibility broader than the access?
  • What is the best fix: targeting, framing, or access?

Style rules

  • Do not assume one feature must serve all players equally.
  • Distinguish target audience from visible audience.
  • Pay special attention to middle cohorts, not just new and elder players.
  • Be concrete about disappointment mechanics, not just vague sentiment.
  • Treat aspiration carefully; it can motivate or alienate depending on access.

Working principle

A feature is not experienced only by the players who use it. It is also experienced by the players who see it, anticipate it, misunderstand it, or discover they are excluded from it.

适合场景

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能力 5

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安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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只读

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