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Game Design Prosocial Session Chapters

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-prosocial-session-chapters
功能描述
Design or audit prosocial experiences in session-based multiplayer games using a three-phase chapter model built around Setup, Little Loops, and Long Tail. U...
使用说明 (SKILL.md)

Game Design Prosocial Session Chapters

Use this skill to structure prosocial multiplayer design across the arc of a session-based experience: before the action, inside the repeating social micro-loops, and after the session ends.

This skill is specifically for games where social experience happens in repeated sessions, matches, runs, or missions rather than primarily through one persistent social world.

Core principle

Prosociality should be designed as an arc, not a lucky accident.

A healthy session-based multiplayer game does not rely only on one nice feature or one moderation tool. It prepares players for prosocial behavior before the pressure starts, gives them repeated chances to do small useful social actions during play, and then preserves or extends that social value after the match.

The chapter model

Chapter 1: Setup

Set the stage before or around the start of play.

This phase includes:

  • matchmaking context
  • lobbies
  • loading screens
  • tutorials
  • expectation setting
  • early identity and trust cues
  • pre-session group assembly

The job of Setup is to make prosocial behavior feel plausible, legible, and normal before players are under stress.

Chapter 2: Little Loops

Create repeatable prosocial actions inside the core loop.

This phase includes the small repeated actions players do for one another during active play:

  • revive
  • heal
  • ping
  • cover
  • share
  • rescue
  • assist
  • coordinate
  • acknowledge
  • set up beneficial reciprocity

The job of Little Loops is to turn prosocial behavior into habit, not just aspiration.

Chapter 3: Long Tail

Make prosocial behavior meaningful beyond the session.

This phase includes:

  • commendations
  • acknowledgements
  • social memory
  • regrouping
  • reconnect surfaces
  • prosocial stats or recognition
  • social hubs after play
  • ways to continue with positive teammates

The job of the Long Tail is to stop good social moments from evaporating the instant the scoreboard disappears.

What to produce

Generate:

  1. Audit or design target - what game, mode, or session loop is being reviewed
  2. Chapter-by-chapter assessment - what currently exists in Setup, Little Loops, and Long Tail
  3. Prosocial arc diagnosis - whether the three chapters reinforce one another or feel disconnected
  4. Missed opportunities - where the design could better prime, repeat, or preserve prosocial behavior
  5. Priority interventions - what to add, change, or strengthen in each chapter
  6. Use-case judgment - whether this framework is a strong fit for the target or whether another lens would be more appropriate

Process

1. Confirm that the game fits the method

This method is strongest when:

  • play happens in bounded sessions, matches, rounds, or missions
  • players repeatedly team up with friends, acquaintances, or strangers
  • social experience depends on what happens around and inside a repeatable play loop

This method is weaker when:

  • the game is mainly a persistent sandbox or MMO social world
  • the primary problem is broad moderation governance rather than in-session prosocial design
  • the experience is mostly solitary or asynchronous

If it is a weak fit, say so and only use the framework selectively.

2. Define the prosocial goal

Clarify:

  • what kind of positive social behavior the design wants more of
  • whether the goal is trust, cooperation, warmth, sportsmanship, return play with others, or reduced hostility
  • what current social problem is most salient: hostility, social flatness, weak teamwork, weak reconnection, etc.

Write:

  • Target
  • Desired prosocial outcome
  • Current social problem

3. Audit Setup

Ask:

  • how does the game prime prosocial expectations before play begins?
  • are strangers humanized or made more legible?
  • are players encouraged to see teamwork as normal and beneficial?
  • do tutorials, lobbies, or loading surfaces support prosocial norms?
  • do group assembly tools help compatible people find each other or reform?
  • is there any thematic or narrative framing that supports helping behavior?

Setup warning signs:

  • pure mechanical onboarding with no social framing
  • strangers feel faceless and disposable
  • no expectation setting until after conflict starts
  • no trust scaffolding before high-pressure teamwork

4. Audit Little Loops

Ask:

  • what small repeatable prosocial actions happen during play?
  • are players prompted to help one another in ways that are low-friction and legible?
  • does the core loop reward beneficial reciprocity?
  • are there repeated moments where trust can grow?
  • are prosocial moments visible, memorable, and celebrated?
  • can lower-skill players still contribute usefully to others?

Little Loops warning signs:

  • teamwork is theoretically required but mechanically unsupported
  • players are punished for helping others
  • helping actions are too rare, too costly, or too invisible
  • the loop creates blame faster than trust

5. Audit Long Tail

Ask:

  • what happens to a good social moment after the match ends?
  • can players acknowledge or commend prosocial behavior?
  • can they reconnect easily with good teammates?
  • are prosocial actions tracked, remembered, or recognized?
  • does the post-session layer make positive social behavior matter over time?

Long Tail warning signs:

  • good teammate encounters vanish immediately
  • post-match tools only focus on performance, not social quality
  • players can report harm but not meaningfully acknowledge help
  • no bridge exists from one good session to the next

6. Diagnose the prosocial arc

Ask:

  • does Setup prepare players for the Little Loops?
  • do Little Loops generate moments worth carrying into the Long Tail?
  • does the Long Tail reinforce future Setup by making positive teammates easier to find again?
  • is the game telling one coherent prosocial story across all three chapters?

Common failure shapes:

  • good Setup, weak Little Loops
  • decent Little Loops, but no Long Tail memory
  • strong Long Tail rewards, but no in-match behavior actually earns them in satisfying ways
  • all three chapters exist, but they feel unrelated

7. Turn findings into interventions

For each chapter, specify:

  • Issue
  • Why it hurts prosociality
  • Suggested intervention
  • Expected effect

Typical interventions:

  • clearer expectation setting in lobby/load flow
  • pre-match signals of teammate trustworthiness or role clarity
  • more low-risk helping actions in the core loop
  • reciprocal mechanics that reward mutual aid
  • clearer celebration of team-positive moments
  • commendations, reconnection, or social-memory surfaces after play

Response structure

Target

  • ...

Framework Fit

  • ...

Setup Assessment

  • Strengths: ...
  • Gaps: ...

Little Loops Assessment

  • Strengths: ...
  • Gaps: ...

Long Tail Assessment

  • Strengths: ...
  • Gaps: ...

Prosocial Arc Diagnosis

  • ...

Priority Interventions

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

Use-Case Judgment

  • ...

Fast mode

Use this quick pass when speed matters:

  • what primes prosocial behavior before the match?
  • what repeatable helping loops exist inside the match?
  • what survives after the match?
  • where does the prosocial arc break?
  • what one intervention would most improve the chain from one good session to the next?

Working principle

A session-based multiplayer game becomes more socially healthy when it teaches prosociality before pressure, rehearses it in small repeatable actions during play, and gives it memory after play.

安全使用建议
This skill appears to be a harmless design framework. Before using it, avoid pasting private or sensitive data (player PII, logs containing tokens, or proprietary source files) into prompts. Because the skill can be invoked by the agent, be mindful of what game data you provide to the model; if you need to share internal docs, redact secrets and personal data first. Also note the skill's source is unknown — if provenance matters for compliance, verify who published it before using it on sensitive projects.
功能分析
Type: OpenClaw Skill Name: game-design-prosocial-session-chapters Version: 1.0.0 The skill bundle contains a game design framework for analyzing prosocial behavior in multiplayer games. The SKILL.md file provides structured instructions for an AI agent to audit game sessions across three phases (Setup, Little Loops, and Long Tail). There is no executable code, no network activity, and no evidence of malicious intent or prompt injection techniques.
能力标签
crypto
能力评估
Purpose & Capability
The name and description match the SKILL.md instructions: it proposes a three-phase audit/design framework for session-based multiplayer prosociality. It does not request unrelated resources (cloud creds, system binaries, or platform tokens) that would be disproportionate to the stated goal.
Instruction Scope
Runtime instructions are purely methodological (how to assess Setup, Little Loops, Long Tail and what outputs to generate). They do not instruct the agent to read local files, access environment variables, call external endpoints, or exfiltrate data. The requested inputs are game descriptions and design context, which are coherent with the skill's purpose.
Install Mechanism
No install spec or code files are present; this is instruction-only. That minimizes surface area — nothing will be written to disk or installed when used.
Credentials
The skill requires no environment variables, credentials, or config paths. There are no requests for sensitive tokens or unrelated secrets; the level of access requested is proportional to a consulting-style design audit.
Persistence & Privilege
Default flags (always: false, agent invocation allowed) are normal. The skill does not request permanent presence nor attempt to modify other skills or system settings.
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-prosocial-session-chapters
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /game-design-prosocial-session-chapters 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. Audits and designs prosocial session-based multiplayer across Setup, Little Loops, and Long Tail.
元数据
Slug game-design-prosocial-session-chapters
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 Prosocial Session Chapters 是什么?

Design or audit prosocial experiences in session-based multiplayer games using a three-phase chapter model built around Setup, Little Loops, and Long Tail. U... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 53 次。

如何安装 Game Design Prosocial Session Chapters?

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

Game Design Prosocial Session Chapters 是免费的吗?

是的,Game Design Prosocial Session Chapters 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Game Design Prosocial Session Chapters 支持哪些平台?

Game Design Prosocial Session Chapters 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 Prosocial Session Chapters?

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

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