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game-design-player-need-satisfaction-audit游戏设计玩家需求满意度审核

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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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

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请帮我安装这个 Agent Skill:game-design-player-need-satisfaction-audit(游戏设计玩家需求满意度审核)
来源仓库:https://github.com/stanestane/game-design-player-need-satisfaction-audit
安装命令:
openclaw skills install game-design-player-need-satisfaction-audit
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openclaw skills install game-design-player-need-satisfaction-audit

简介

判断游戏功能是否有效满足玩家核心需求。

  • 适用于入门流程、回报循环或社交机制的满意度评估。
  • 基于需求匹配度提供优化优先级建议。
  • 结果为设计层面分析,不反映真实用户行为数据。
  • game-design-player-need-satisfaction-audit 属于效率类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
game-design-player-need-satisfaction-audit
description
Audit a game, feature, live-ops system, onboarding flow, progression loop, social feature, monetization flow, or return loop for player need satisfaction using Self-Determination Theory and the PENS lens. Use when evaluating whether a design is actually fun beyond surface KPIs, diagnosing weak retention or shallow engagement, comparing variants, identifying where a system denies autonomy, competence, or relatedness, or understanding whether a game feels emotionally nourishing or quietly depleting.

Game Design Player Need Satisfaction Audit

Audit a design by asking whether it satisfies core psychological needs rather than merely driving activity.

Use this skill to examine whether a game, feature, or live-ops system supports autonomy, competence, and relatedness, and where it may be denying those needs instead. Keep the analysis practical and design-facing. Treat fun as need satisfaction rather than as a vague entertainment label.

Core principle

People do not play games only because they are interactive or rewarding. They play because games satisfy core psychological needs. A feature can have solid metrics, clean progression, and monetization hooks, yet still feel emotionally weak if it fails to satisfy these needs.

Need lenses

1. Autonomy

The need to feel like a causal agent of one's own actions.

In game terms: meaningful choice, ownership, self-directed action, strategic freedom, and perceived control.

2. Competence

The need to feel effective, capable, and progressively more skillful.

In game terms: clear goals, understandable feedback, mastery, successful execution, improvement, and meaningful progress.

3. Relatedness

The need to feel socially connected, embedded, recognized, compared, valued, or bonded with others.

In game terms: cooperation, rivalry, status visibility, shared progress, belonging, social ritual, and social meaning.

4. Benevolence (optional)

Use this supplementary lens when the design includes helping, gifting, nurturing, stewardship, caretaking, or contribution to others.

What to produce

Generate an audit with these outputs:

  1. Need satisfaction profile - how strongly the design satisfies autonomy, competence, and relatedness
  2. Need denial profile - where the design frustrates or blocks those needs
  3. Mechanism map - which systems create or reduce satisfaction
  4. Risk diagnosis - where the design is emotionally hollow, coercive, or overly one-dimensional
  5. Improvement recommendations - targeted design changes to improve need satisfaction

Process

1. Define the audit target

Clarify exactly what is being audited.

Possible targets:

  • full game
  • core loop
  • new feature
  • onboarding
  • event structure
  • social system
  • monetization flow
  • return loop
  • session opener

Write:

  • Audit target
  • Player context
  • Why this audit matters

2. Map intended player experience

Describe what the design is supposed to make the player feel and do.

This step prevents theory from floating free of the actual experience.

Ask:

  • What is the intended player fantasy?
  • What actions define the loop?
  • What are players choosing?
  • What are they trying to master?
  • Where are they encountering other people, directly or indirectly?
  • What does success look like from the player's perspective?

Write:

  • Intended player experience
  • Core actions
  • Sources of progress
  • Sources of social meaning

3. Audit autonomy

Ask whether the design helps the player feel like an active agent rather than a passenger.

Signs of autonomy satisfaction:

  • meaningful choices, not fake choices
  • multiple valid paths or priorities
  • flexible pacing or self-directed goals
  • player expression of preference or playstyle
  • guidance that supports choice rather than replacing it
  • actions that feel intentional and consequential
  • constraints that are understandable rather than arbitrary

Signs of autonomy denial:

  • overly forced funnels
  • constant interruption or coercion
  • fake choice with one obviously correct option
  • rigid pacing with little ownership
  • recommendation systems that feel bossy
  • decisions that do not materially matter
  • excessive timers or blockers with no agency-preserving response

Ask:

  • What meaningful choices does the player make?
  • Can the player set their own short-term priorities?
  • Does guidance preserve agency or replace it?
  • Are there multiple viable ways to progress?
  • Does the player feel ownership over success?
  • Where does the system make the player feel trapped, railroaded, or manipulated?

Use this format:

Autonomy DimensionEvidence of SatisfactionEvidence of DenialSeverity

4. Audit competence

Ask whether the design helps the player feel effective, improving, and capable.

Signs of competence satisfaction:

  • clear goals and immediate feedback
  • understandable cause and effect
  • actions produce visible results
  • progression is legible
  • player skill or understanding improves outcomes
  • challenge is meaningful but not chaotic
  • the system teaches without humiliating

Signs of competence denial:

  • noisy or ambiguous feedback
  • success feels random or disconnected from decisions
  • actions fail for opaque reasons
  • no sense of improvement or mastery
  • friction overwhelms learning
  • players cannot tell what good play looks like
  • systems produce repeated confusion, blocked states, or dead-end effort

Ask:

  • Does the player understand what they are trying to achieve?
  • Is the result of action legible and satisfying?
  • Can the player improve through practice, strategy, or understanding?
  • Is there a clear bridge between effort and result?
  • Are failure states fair and interpretable?
  • Where does the design create frustration without learning?

Use this format:

Competence DimensionEvidence of SatisfactionEvidence of DenialSeverity

5. Audit relatedness

Ask whether the design makes the player feel socially connected, situated, or recognized.

Signs of relatedness satisfaction:

  • meaningful club, guild, or social systems
  • visible social comparison that feels motivating
  • cooperation, gifting, helping, or mutual dependency
  • rituals of return and shared participation
  • recognition, identity, or status within a group
  • ambient social presence, even if asynchronous
  • emotional connection to characters, community, or shared world

Signs of relatedness denial:

  • social systems are present but emotionally empty
  • comparison is punishing rather than connective
  • other players feel like abstract obstacles only
  • no sense of belonging or shared culture
  • social actions are transactional with no felt relationship
  • players feel isolated even inside a nominally social feature

Ask:

  • How does this design help the player feel part of a larger social matrix?
  • What forms of recognition or comparison exist?
  • Is there cooperation, competition, shared identity, or belonging?
  • Are social features emotionally meaningful or just functional?
  • Does the design create connection or merely visibility?
  • Where does the feature feel socially sterile?

Use this format:

Relatedness DimensionEvidence of SatisfactionEvidence of DenialSeverity

6. Audit benevolence or contribution when relevant

Use this supplementary lens when the design lets players feel good by helping, nurturing, protecting, or contributing.

Relevant cases include:

  • city care
  • co-op support
  • gifting
  • club contribution
  • stewardship systems
  • pet or resident care
  • restoration or rebuilding fantasies

Ask:

  • Can the player improve something beyond themselves?
  • Can they care for, help, or contribute to others?
  • Does contribution feel meaningful or cosmetic?
  • Is there emotional payoff in generosity or stewardship?

7. Build the need satisfaction profile

Summarize the overall shape of the experience.

Score each need from 1 to 5:

  • 1 = strongly denied
  • 2 = weak or inconsistent
  • 3 = moderate
  • 4 = strong
  • 5 = central strength

Use this format:

NeedScoreWhy
Autonomy1-5...
Competence1-5...
Relatedness1-5...
Benevolence (optional)1-5...

Interpretation patterns:

  • high autonomy, low competence -> expressive but confusing
  • high competence, low autonomy -> polished but controlling
  • high relatedness, low autonomy -> socially sticky but personally shallow
  • high competence, low relatedness -> satisfying alone, weak community pull
  • balanced strength across all three -> strongest candidate for durable engagement

8. Diagnose need denial and imbalance

Identify what is missing, what is overrepresented, and what failure shape is emerging.

Common failure shapes:

A. Spreadsheet fun

  • competence signals are present
  • autonomy is weak
  • relatedness is weak
  • the system is efficient but emotionally dry

B. Coercive retention

  • progression exists
  • constant nudging and timers deny autonomy
  • competence is undermined by blockers
  • players return from obligation rather than desire

C. Social shell

  • clubs or leaderboards exist
  • relatedness cues are visible but shallow
  • there is little real belonging or identity

D. Pleasant but empty

  • autonomy is present
  • low challenge or poor feedback reduces competence
  • interaction lacks a meaningful arc

E. High-pressure optimization trap

  • competence exists for experts only
  • autonomy narrows into one dominant strategy
  • social comparison becomes discouraging

9. Convert findings into design actions

For each issue, specify:

  • Need affected
  • Current problem
  • Design cause
  • Suggested change
  • Expected emotional effect

Examples:

  • add more player-selectable priorities -> increases autonomy
  • clarify action-result feedback -> increases competence
  • add visible club contribution loops -> increases relatedness
  • reduce forced interruptions -> reduces autonomy denial
  • add progression bridges between systems -> strengthens competence and autonomy together

Use this format:

NeedProblemSuggested ChangeExpected Effect

10. Reuse the audit over time

Run this audit:

  • during concepting
  • after prototype reviews
  • before greenlight
  • after live launch
  • when retention or sentiment drops
  • when comparing AB variants

Do not treat this as a one-off theory exercise. It is most useful when repeatedly applied to major game systems.

Response structure

Use this structure unless the user asks for something else:

Audit Target

  • ...

Intended Player Experience

  • ...

Autonomy

  • Strengths: ...
  • Weaknesses: ...

Competence

  • Strengths: ...
  • Weaknesses: ...

Relatedness

  • Strengths: ...
  • Weaknesses: ...

Need Satisfaction Profile

  • Autonomy: ...
  • Competence: ...
  • Relatedness: ...

Risk Diagnosis

  • ...

Recommendations

  1. ...
  2. ...
  3. ...

Fast mode

Use this quick pass when speed matters:

  • Where does the player experience meaningful choice?
  • Where do they feel effective and improving?
  • Where do they feel connected to others?
  • Where does the design deny one of those needs?
  • Which need is strongest, and which is weakest?
  • What one change would most improve the weakest need?

Usage notes

This audit is especially useful for:

  • session opener flows
  • city request systems
  • season passes and event track progression
  • club systems and wars
  • trains and deliveries
  • city-building fantasy versus optimization friction
  • monetization touchpoints that may erode autonomy
  • guidance systems that may help competence while harming autonomy

Common patterns to watch for:

  • too much instruction can improve competence but reduce autonomy
  • timers and blockers can motivate return but also create autonomy denial
  • social systems can create relatedness cues without true belonging
  • event layers can create progress but overload competence if feedback is fragmented

Working principle

A successful game does not merely retain players. It repeatedly satisfies core psychological needs.

Use this skill when a design is performing mechanically but you need to understand whether it is emotionally nourishing or quietly depleting.

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