Creator · kangarooking
Last updated · Sep 1, 2026
当用户困惑「为什么有人攻击我/为什么大家卷来卷去/我怎么不在乎别人眼光/为什么妒忌」时调用。 核心理念: 人生同时存在零和地位游戏、正和财富游戏、单人游戏; 识别你玩的是哪种游戏, 避免地位游戏, 回到内在记分卡。 不适用于: 具体竞争策略制定(如何赢下某个比赛)。 Triggers: 地位/攀比/内卷/妒忌/别人怎么看我/零和/单人游戏/status game/envy
Creator · kangarooking
Last updated · Sep 1, 2026
当用户困惑「为什么有人攻击我/为什么大家卷来卷去/我怎么不在乎别人眼光/为什么妒忌」时调用。 核心理念: 人生同时存在零和地位游戏、正和财富游戏、单人游戏; 识别你玩的是哪种游戏, 避免地位游戏, 回到内在记分卡。 不适用于: 具体竞争策略制定(如何赢下某个比赛)。 Triggers: 地位/攀比/内卷/妒忌/别人怎么看我/零和/单人游戏/status game/envy
Creator · kangarooking
Last updated · Sep 1, 2026
当用户困惑「为什么有人攻击我/为什么大家卷来卷去/我怎么不在乎别人眼光/为什么妒忌」时调用。 核心理念: 人生同时存在零和地位游戏、正和财富游戏、单人游戏; 识别你玩的是哪种游戏, 避免地位游戏, 回到内在记分卡。 不适用于: 具体竞争策略制定(如何赢下某个比赛)。 Triggers: 地位/攀比/内卷/妒忌/别人怎么看我/零和/单人游戏/status game/envy
Creator · kangarooking
Last updated · Sep 1, 2026
当用户困惑「为什么有人攻击我/为什么大家卷来卷去/我怎么不在乎别人眼光/为什么妒忌」时调用。 核心理念: 人生同时存在零和地位游戏、正和财富游戏、单人游戏; 识别你玩的是哪种游戏, 避免地位游戏, 回到内在记分卡。 不适用于: 具体竞争策略制定(如何赢下某个比赛)。 Triggers: 地位/攀比/内卷/妒忌/别人怎么看我/零和/单人游戏/status game/envy
Review then install
Install targets
Codex install prompt
Install the "game-selection" agent skill from https://github.com/kangarooking/cangjie-skill/tree/main/books/naval-almanack-skill/game-selection. 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: 当用户困惑「为什么有人攻击我/为什么大家卷来卷去/我怎么不在乎别人眼光/为什么妒忌」时调用。 核心理念: 人生同时存在零和地位游戏、正和财富游戏、单人游戏; 识别你玩的是哪种游戏, 避免地位游戏, 回到内在记分卡。 不适用于: 具体竞争策略制定(如何赢下某个比赛)。 Triggers: 地位/攀比/内卷/妒忌/别人怎么看我/零和/单人游戏/status game/envy 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":"kangarooking-game-selection","task":"Install game-selection","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
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Testing and QA
I need my agent to test a web app, reproduce bugs, and verify fixes.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add kangarooking/cangjie-skill --skill game-selection
Maintenance
fresh
7d since push
Risk
Safe to try
Quality score needs review
GitHub quality
9.3K
91/100 Quality · 88/100 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
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
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
9.3K GitHub stars
Repo activity
9.3K stars, 1.1K forks
Maintenance
7d since push
License
MIT
Install
npx skills add kangarooking/cangjie-skill --skill game-selection
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 kangarooking/cangjie-skill --skill game-selectionDo not use when
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-selection%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20game-selection%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/kangarooking-game-selection/install
Agent should check
Copy prompt
Task: Use game-selection in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20game-selection%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/kangarooking-game-selection/install
Install command: npx skills add kangarooking/cangjie-skill --skill game-selection
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/kangarooking-game-selection/install
LLM text format
/api/skills/kangarooking-game-selection/install?format=text
Find alternatives
/api/skills/search?q=game-selection&limit=3
Agent prompt
Use game-selection for this task. Review https://www.openagentskill.com/api/skills/kangarooking-game-selection/install, then install with: npx skills add kangarooking/cangjie-skill --skill game-selectionRegistry 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/kangarooking-game-selection
LLM text
/api/registry/manifest/kangarooking-game-selection?format=text
Install alias
/api/registry/install/kangarooking-game-selection
Recommend
/api/registry/recommend?task=Use%20game-selection%20in%20an%20agent%20workflow&limit=3
Agent fit
Browser automation
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
Browser automation
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
PASS9.3K GitHub stars
Stars/forks activity
PASS9.3K stars, 1.1K forks; issue activity unavailable in current metadata
Recent maintenance
PASS7d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Workflow fit
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Alternative shortlist
Similar skills that may fit this task.
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--- name: game-selection description: | 当用户困惑「为什么有人攻击我/为什么大家卷来卷去/我怎么不在乎别人眼光/为什么妒忌」时调用。 核心理念: 人生同时存在零和地位游戏、正和财富游戏、单人游戏; 识别你玩的是哪种游戏, 避免地位游戏, 回到内在记分卡。 不适用于: 具体竞争策略制定(如何赢下某个比赛)。 Triggers: 地位/攀比/内卷/妒忌/别人怎么看我/零和/单人游戏/status game/envy source_book: 《纳瓦尔宝典:财富与幸福指南》 纳瓦尔·拉维坎特 source_chapter: 第二章·幸福 / 第一节 学习幸福 / 妒忌是幸福的敌人 tags: [status, zero-sum, happiness, psychology] related_skills: - slug: long-term-compounding relation: contrasts-with - slug: happiness-skill relation: composes-with ---
# 游戏选择:识别地位游戏与单人游戏
## R — 原文 (Reading)
> 财富创造是最近进化出来的正和游戏。地位争夺是古老的零和游戏。那些攻击财富创造的人通常只是在追求地位。……事实上,人生就是一场单人游戏。你是独自一个人来到世界的。也将独自死去。 > > — 纳瓦尔·拉维坎特, 《纳瓦尔宝典》 第一章·财富 / 第二章·幸福
## I — 方法论骨架 (Interpretation)
人在一生中同时被卷入三种游戏,关键是识别自己在玩哪一种: ① **地位游戏**(零和)——等级排名,赢家必须击倒别人,政治/体育/学术排名属此类;参与它会让人愤怒好斗; ② **财富游戏**(正和)——把饼做大,人人可赢,是近现代才出现的新游戏; ③ **单人游戏**(内在)——幸福、平静、自我成长,没有外部进度条和外部验证,所有真正的记分卡都在内在。 使用方法:被攻击时先问「他在玩什么游戏」(攻击创造财富者的人多在追求地位); 被攀比/妒忌困扰时,用巴菲特的内在/外在记分卡测试,并用妒忌消解法——「如果我不愿与他完全交换身份,妒忌就无意义」。
## A1 — 书中的应用 (Past Application)
### 案例 1: 巴菲特的内在记分卡 - **问题**: 用外部名声还是内在标准评价自己 - **方法论的使用**: 问「你想成为名声最差但最好的情人,还是名声最好但最糟糕的情人」 - **结论**: 所有真正的记分卡是内在的 - **结果**: 作者转向修炼内在自我
### 案例 2: 妒忌消解实验 - **问题**: 年轻时妒忌心重 - **方法论的使用**: 意识到「我不能只选他人生活的某几个片段,要么完全交换身份要么不妒忌」 - **结论**: 「一旦我意识到这一点,妒忌就会消失,因为我不想成为别人」 - **结果**: 妒忌不再主导情绪
## A2 — 触发场景 (Future Trigger) ★
### 用户会在什么情境下需要这个 skill?
1. 被攻击/被比较:「为什么有人针对我/贬低我」 2. 内卷倦怠:「大家都这么卷有意义吗」 3. 妒忌:「看到别人成功我好难受」 4. 意义校准:「我做这件事到底为了什么」
### 语言信号
- "别人在玩什么游戏/为什么都针对我" - "我很妒忌/很在意别人看法" - "内卷/攀比/面子" - "status / zero-sum / why do people attack me / envy"
### 与相邻 skill 的区分
- 与 `long-term-compounding` 的区别: 本 skill 识别博弈结构;复利 skill 处理时间尺度 - 与 `happiness-skill` 的区别: 本 skill 是博弈分类,幸福 skill 是状态训练
## E — 可执行步骤 (Execution)
1. **识别游戏类型** - 完成标准: 对当前处境回答「这是零和、正和、还是单人游戏?」 - 判停条件: 若确认是零和地位游戏且非必要,直接标记「不值得赢」,跳到步骤 3
2. **测试记分卡** - 完成标准: 问自己「如果把外部评价全部移除,这件事我还做吗?」——区分内在/外在动机
3. **跑妒忌消解** - 完成标准: 对每个妒忌对象问「我愿意与他完全交换身份(包括所有反应/家庭/自我形象)吗?」;不愿→放下
4. **回到单人游戏投入** - 完成标准: 把本周至少 1 项行动改为「只为自己的内在标准」执行
## B — 边界 (Boundary) ★
### 不要在以下情况使用此 skill
- 用户需要在竞争里赢(体育/职场晋升)——此时应给竞争策略而非「退出游戏」 - 地位游戏无法避免的场合(政治/组织内),本书立场是识别而非硬刚
### 作者在书中警告的失败模式
- 玩地位游戏会让你变成愤怒好斗的人: 「你总是在窝里斗,损人利己」 - 用外部进度条训练内在能力: 瑜伽/冥想难坚持是因为没有外在价值
### 作者的盲点 / 时代局限
- 「完全不玩地位游戏」在组织生存中并不现实;作者有资本网络作为退路 - 单人游戏叙事可能滑向回避现实竞争
### 容易混淆的邻近方法论
- `long-term-compounding`: 长期正和游戏 vs 零和地位游戏是两类判据,先分类再选
---
## 相关 skills (阶段 3 定稿)
- contrasts-with: `long-term-compounding`(正和/零和 vs 长期/短期) - composes-with: `happiness-skill`(单人游戏是幸福的地基)
---
## 审计信息
- **验证通过**: V1 ✓ / V2 ✓ / V3 ✓ (v09) - **测试通过率**: 见 test-results.md - **蒸馏时间**: 2026-08-01
Source provenance
Decision snapshot
9,334 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-selection, ready for a manual X post.
A practical pick for a repeatable workflow: game-selection: 当用户困惑「为什么有人攻击我/为什么大家卷来卷去/我怎么不在乎别人眼光/为什么妒忌」时调用。 核心理念: 人生同时存在零和地位游戏、正和财富游戏、单人游戏; 识别你玩的是哪种游戏, 避免地位游戏, 回到内在记分卡。 不适用于: 具体竞争策略制定(... 9.3K stars https://www.openagentskill.com/skills/kangarooking-game-selection?ref=x
Listing + install path for game-selection: https://www.openagentskill.com/skills/kangarooking-game-selection?ref=x Install: npx skills add kangarooking/cangjie-skill --skill game-selection
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to kangarooking but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
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[](https://www.openagentskill.com/skills/kangarooking-game-selection/audit)
[](https://www.openagentskill.com/skills/kangarooking-game-selection?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)kangarooking
@kangarooking
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
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Install targets
Codex install prompt
Install the "game-selection" agent skill from https://github.com/kangarooking/cangjie-skill/tree/main/books/naval-almanack-skill/game-selection. 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: 当用户困惑「为什么有人攻击我/为什么大家卷来卷去/我怎么不在乎别人眼光/为什么妒忌」时调用。 核心理念: 人生同时存在零和地位游戏、正和财富游戏、单人游戏; 识别你玩的是哪种游戏, 避免地位游戏, 回到内在记分卡。 不适用于: 具体竞争策略制定(如何赢下某个比赛)。 Triggers: 地位/攀比/内卷/妒忌/别人怎么看我/零和/单人游戏/status game/envy 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":"kangarooking-game-selection","task":"Install game-selection","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
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Testing and QA
I need my agent to test a web app, reproduce bugs, and verify fixes.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add kangarooking/cangjie-skill --skill game-selection
Maintenance
fresh
7d since push
Risk
Safe to try
Quality score needs review
GitHub quality
9.3K
91/100 Quality · 88/100 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
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
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
9.3K GitHub stars
Repo activity
9.3K stars, 1.1K forks
Maintenance
7d since push
License
MIT
Install
npx skills add kangarooking/cangjie-skill --skill game-selection
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 kangarooking/cangjie-skill --skill game-selectionDo not use when
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-selection%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20game-selection%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/kangarooking-game-selection/install
Agent should check
Copy prompt
Task: Use game-selection in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20game-selection%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/kangarooking-game-selection/install
Install command: npx skills add kangarooking/cangjie-skill --skill game-selection
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/kangarooking-game-selection/install
LLM text format
/api/skills/kangarooking-game-selection/install?format=text
Find alternatives
/api/skills/search?q=game-selection&limit=3
Agent prompt
Use game-selection for this task. Review https://www.openagentskill.com/api/skills/kangarooking-game-selection/install, then install with: npx skills add kangarooking/cangjie-skill --skill game-selectionRegistry 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/kangarooking-game-selection
LLM text
/api/registry/manifest/kangarooking-game-selection?format=text
Install alias
/api/registry/install/kangarooking-game-selection
Recommend
/api/registry/recommend?task=Use%20game-selection%20in%20an%20agent%20workflow&limit=3
Agent fit
Browser automation
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
Browser automation
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
PASS9.3K GitHub stars
Stars/forks activity
PASS9.3K stars, 1.1K forks; issue activity unavailable in current metadata
Recent maintenance
PASS7d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Workflow fit
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Alternative shortlist
Similar skills that may fit this task.
Run multimodal agents that operate desktop interfaces
Connect agents to hundreds of workflow automations
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--- name: game-selection description: | 当用户困惑「为什么有人攻击我/为什么大家卷来卷去/我怎么不在乎别人眼光/为什么妒忌」时调用。 核心理念: 人生同时存在零和地位游戏、正和财富游戏、单人游戏; 识别你玩的是哪种游戏, 避免地位游戏, 回到内在记分卡。 不适用于: 具体竞争策略制定(如何赢下某个比赛)。 Triggers: 地位/攀比/内卷/妒忌/别人怎么看我/零和/单人游戏/status game/envy source_book: 《纳瓦尔宝典:财富与幸福指南》 纳瓦尔·拉维坎特 source_chapter: 第二章·幸福 / 第一节 学习幸福 / 妒忌是幸福的敌人 tags: [status, zero-sum, happiness, psychology] related_skills: - slug: long-term-compounding relation: contrasts-with - slug: happiness-skill relation: composes-with ---
# 游戏选择:识别地位游戏与单人游戏
## R — 原文 (Reading)
> 财富创造是最近进化出来的正和游戏。地位争夺是古老的零和游戏。那些攻击财富创造的人通常只是在追求地位。……事实上,人生就是一场单人游戏。你是独自一个人来到世界的。也将独自死去。 > > — 纳瓦尔·拉维坎特, 《纳瓦尔宝典》 第一章·财富 / 第二章·幸福
## I — 方法论骨架 (Interpretation)
人在一生中同时被卷入三种游戏,关键是识别自己在玩哪一种: ① **地位游戏**(零和)——等级排名,赢家必须击倒别人,政治/体育/学术排名属此类;参与它会让人愤怒好斗; ② **财富游戏**(正和)——把饼做大,人人可赢,是近现代才出现的新游戏; ③ **单人游戏**(内在)——幸福、平静、自我成长,没有外部进度条和外部验证,所有真正的记分卡都在内在。 使用方法:被攻击时先问「他在玩什么游戏」(攻击创造财富者的人多在追求地位); 被攀比/妒忌困扰时,用巴菲特的内在/外在记分卡测试,并用妒忌消解法——「如果我不愿与他完全交换身份,妒忌就无意义」。
## A1 — 书中的应用 (Past Application)
### 案例 1: 巴菲特的内在记分卡 - **问题**: 用外部名声还是内在标准评价自己 - **方法论的使用**: 问「你想成为名声最差但最好的情人,还是名声最好但最糟糕的情人」 - **结论**: 所有真正的记分卡是内在的 - **结果**: 作者转向修炼内在自我
### 案例 2: 妒忌消解实验 - **问题**: 年轻时妒忌心重 - **方法论的使用**: 意识到「我不能只选他人生活的某几个片段,要么完全交换身份要么不妒忌」 - **结论**: 「一旦我意识到这一点,妒忌就会消失,因为我不想成为别人」 - **结果**: 妒忌不再主导情绪
## A2 — 触发场景 (Future Trigger) ★
### 用户会在什么情境下需要这个 skill?
1. 被攻击/被比较:「为什么有人针对我/贬低我」 2. 内卷倦怠:「大家都这么卷有意义吗」 3. 妒忌:「看到别人成功我好难受」 4. 意义校准:「我做这件事到底为了什么」
### 语言信号
- "别人在玩什么游戏/为什么都针对我" - "我很妒忌/很在意别人看法" - "内卷/攀比/面子" - "status / zero-sum / why do people attack me / envy"
### 与相邻 skill 的区分
- 与 `long-term-compounding` 的区别: 本 skill 识别博弈结构;复利 skill 处理时间尺度 - 与 `happiness-skill` 的区别: 本 skill 是博弈分类,幸福 skill 是状态训练
## E — 可执行步骤 (Execution)
1. **识别游戏类型** - 完成标准: 对当前处境回答「这是零和、正和、还是单人游戏?」 - 判停条件: 若确认是零和地位游戏且非必要,直接标记「不值得赢」,跳到步骤 3
2. **测试记分卡** - 完成标准: 问自己「如果把外部评价全部移除,这件事我还做吗?」——区分内在/外在动机
3. **跑妒忌消解** - 完成标准: 对每个妒忌对象问「我愿意与他完全交换身份(包括所有反应/家庭/自我形象)吗?」;不愿→放下
4. **回到单人游戏投入** - 完成标准: 把本周至少 1 项行动改为「只为自己的内在标准」执行
## B — 边界 (Boundary) ★
### 不要在以下情况使用此 skill
- 用户需要在竞争里赢(体育/职场晋升)——此时应给竞争策略而非「退出游戏」 - 地位游戏无法避免的场合(政治/组织内),本书立场是识别而非硬刚
### 作者在书中警告的失败模式
- 玩地位游戏会让你变成愤怒好斗的人: 「你总是在窝里斗,损人利己」 - 用外部进度条训练内在能力: 瑜伽/冥想难坚持是因为没有外在价值
### 作者的盲点 / 时代局限
- 「完全不玩地位游戏」在组织生存中并不现实;作者有资本网络作为退路 - 单人游戏叙事可能滑向回避现实竞争
### 容易混淆的邻近方法论
- `long-term-compounding`: 长期正和游戏 vs 零和地位游戏是两类判据,先分类再选
---
## 相关 skills (阶段 3 定稿)
- contrasts-with: `long-term-compounding`(正和/零和 vs 长期/短期) - composes-with: `happiness-skill`(单人游戏是幸福的地基)
---
## 审计信息
- **验证通过**: V1 ✓ / V2 ✓ / V3 ✓ (v09) - **测试通过率**: 见 test-results.md - **蒸馏时间**: 2026-08-01
Source provenance
Decision snapshot
9,334 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-selection, ready for a manual X post.
A practical pick for a repeatable workflow: game-selection: 当用户困惑「为什么有人攻击我/为什么大家卷来卷去/我怎么不在乎别人眼光/为什么妒忌」时调用。 核心理念: 人生同时存在零和地位游戏、正和财富游戏、单人游戏; 识别你玩的是哪种游戏, 避免地位游戏, 回到内在记分卡。 不适用于: 具体竞争策略制定(... 9.3K stars https://www.openagentskill.com/skills/kangarooking-game-selection?ref=x
Listing + install path for game-selection: https://www.openagentskill.com/skills/kangarooking-game-selection?ref=x Install: npx skills add kangarooking/cangjie-skill --skill game-selection
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to kangarooking but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/kangarooking-game-selection?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/kangarooking-game-selection?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/kangarooking-game-selection/audit)
[](https://www.openagentskill.com/skills/kangarooking-game-selection?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)kangarooking
@kangarooking
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
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Install targets
Codex install prompt
Install the "game-selection" agent skill from https://github.com/kangarooking/cangjie-skill/tree/main/books/naval-almanack-skill/game-selection. 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: 当用户困惑「为什么有人攻击我/为什么大家卷来卷去/我怎么不在乎别人眼光/为什么妒忌」时调用。 核心理念: 人生同时存在零和地位游戏、正和财富游戏、单人游戏; 识别你玩的是哪种游戏, 避免地位游戏, 回到内在记分卡。 不适用于: 具体竞争策略制定(如何赢下某个比赛)。 Triggers: 地位/攀比/内卷/妒忌/别人怎么看我/零和/单人游戏/status game/envy 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":"kangarooking-game-selection","task":"Install game-selection","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
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Testing and QA
I need my agent to test a web app, reproduce bugs, and verify fixes.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add kangarooking/cangjie-skill --skill game-selection
Maintenance
fresh
7d since push
Risk
Safe to try
Quality score needs review
GitHub quality
9.3K
91/100 Quality · 88/100 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
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
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
9.3K GitHub stars
Repo activity
9.3K stars, 1.1K forks
Maintenance
7d since push
License
MIT
Install
npx skills add kangarooking/cangjie-skill --skill game-selection
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 kangarooking/cangjie-skill --skill game-selectionDo not use when
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-selection%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20game-selection%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/kangarooking-game-selection/install
Agent should check
Copy prompt
Task: Use game-selection in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20game-selection%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/kangarooking-game-selection/install
Install command: npx skills add kangarooking/cangjie-skill --skill game-selection
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/kangarooking-game-selection/install
LLM text format
/api/skills/kangarooking-game-selection/install?format=text
Find alternatives
/api/skills/search?q=game-selection&limit=3
Agent prompt
Use game-selection for this task. Review https://www.openagentskill.com/api/skills/kangarooking-game-selection/install, then install with: npx skills add kangarooking/cangjie-skill --skill game-selectionRegistry 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/kangarooking-game-selection
LLM text
/api/registry/manifest/kangarooking-game-selection?format=text
Install alias
/api/registry/install/kangarooking-game-selection
Recommend
/api/registry/recommend?task=Use%20game-selection%20in%20an%20agent%20workflow&limit=3
Agent fit
Browser automation
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
Browser automation
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
PASS9.3K GitHub stars
Stars/forks activity
PASS9.3K stars, 1.1K forks; issue activity unavailable in current metadata
Recent maintenance
PASS7d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Workflow fit
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Alternative shortlist
Similar skills that may fit this task.
Run multimodal agents that operate desktop interfaces
Connect agents to hundreds of workflow automations
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full documentation at
--- name: game-selection description: | 当用户困惑「为什么有人攻击我/为什么大家卷来卷去/我怎么不在乎别人眼光/为什么妒忌」时调用。 核心理念: 人生同时存在零和地位游戏、正和财富游戏、单人游戏; 识别你玩的是哪种游戏, 避免地位游戏, 回到内在记分卡。 不适用于: 具体竞争策略制定(如何赢下某个比赛)。 Triggers: 地位/攀比/内卷/妒忌/别人怎么看我/零和/单人游戏/status game/envy source_book: 《纳瓦尔宝典:财富与幸福指南》 纳瓦尔·拉维坎特 source_chapter: 第二章·幸福 / 第一节 学习幸福 / 妒忌是幸福的敌人 tags: [status, zero-sum, happiness, psychology] related_skills: - slug: long-term-compounding relation: contrasts-with - slug: happiness-skill relation: composes-with ---
# 游戏选择:识别地位游戏与单人游戏
## R — 原文 (Reading)
> 财富创造是最近进化出来的正和游戏。地位争夺是古老的零和游戏。那些攻击财富创造的人通常只是在追求地位。……事实上,人生就是一场单人游戏。你是独自一个人来到世界的。也将独自死去。 > > — 纳瓦尔·拉维坎特, 《纳瓦尔宝典》 第一章·财富 / 第二章·幸福
## I — 方法论骨架 (Interpretation)
人在一生中同时被卷入三种游戏,关键是识别自己在玩哪一种: ① **地位游戏**(零和)——等级排名,赢家必须击倒别人,政治/体育/学术排名属此类;参与它会让人愤怒好斗; ② **财富游戏**(正和)——把饼做大,人人可赢,是近现代才出现的新游戏; ③ **单人游戏**(内在)——幸福、平静、自我成长,没有外部进度条和外部验证,所有真正的记分卡都在内在。 使用方法:被攻击时先问「他在玩什么游戏」(攻击创造财富者的人多在追求地位); 被攀比/妒忌困扰时,用巴菲特的内在/外在记分卡测试,并用妒忌消解法——「如果我不愿与他完全交换身份,妒忌就无意义」。
## A1 — 书中的应用 (Past Application)
### 案例 1: 巴菲特的内在记分卡 - **问题**: 用外部名声还是内在标准评价自己 - **方法论的使用**: 问「你想成为名声最差但最好的情人,还是名声最好但最糟糕的情人」 - **结论**: 所有真正的记分卡是内在的 - **结果**: 作者转向修炼内在自我
### 案例 2: 妒忌消解实验 - **问题**: 年轻时妒忌心重 - **方法论的使用**: 意识到「我不能只选他人生活的某几个片段,要么完全交换身份要么不妒忌」 - **结论**: 「一旦我意识到这一点,妒忌就会消失,因为我不想成为别人」 - **结果**: 妒忌不再主导情绪
## A2 — 触发场景 (Future Trigger) ★
### 用户会在什么情境下需要这个 skill?
1. 被攻击/被比较:「为什么有人针对我/贬低我」 2. 内卷倦怠:「大家都这么卷有意义吗」 3. 妒忌:「看到别人成功我好难受」 4. 意义校准:「我做这件事到底为了什么」
### 语言信号
- "别人在玩什么游戏/为什么都针对我" - "我很妒忌/很在意别人看法" - "内卷/攀比/面子" - "status / zero-sum / why do people attack me / envy"
### 与相邻 skill 的区分
- 与 `long-term-compounding` 的区别: 本 skill 识别博弈结构;复利 skill 处理时间尺度 - 与 `happiness-skill` 的区别: 本 skill 是博弈分类,幸福 skill 是状态训练
## E — 可执行步骤 (Execution)
1. **识别游戏类型** - 完成标准: 对当前处境回答「这是零和、正和、还是单人游戏?」 - 判停条件: 若确认是零和地位游戏且非必要,直接标记「不值得赢」,跳到步骤 3
2. **测试记分卡** - 完成标准: 问自己「如果把外部评价全部移除,这件事我还做吗?」——区分内在/外在动机
3. **跑妒忌消解** - 完成标准: 对每个妒忌对象问「我愿意与他完全交换身份(包括所有反应/家庭/自我形象)吗?」;不愿→放下
4. **回到单人游戏投入** - 完成标准: 把本周至少 1 项行动改为「只为自己的内在标准」执行
## B — 边界 (Boundary) ★
### 不要在以下情况使用此 skill
- 用户需要在竞争里赢(体育/职场晋升)——此时应给竞争策略而非「退出游戏」 - 地位游戏无法避免的场合(政治/组织内),本书立场是识别而非硬刚
### 作者在书中警告的失败模式
- 玩地位游戏会让你变成愤怒好斗的人: 「你总是在窝里斗,损人利己」 - 用外部进度条训练内在能力: 瑜伽/冥想难坚持是因为没有外在价值
### 作者的盲点 / 时代局限
- 「完全不玩地位游戏」在组织生存中并不现实;作者有资本网络作为退路 - 单人游戏叙事可能滑向回避现实竞争
### 容易混淆的邻近方法论
- `long-term-compounding`: 长期正和游戏 vs 零和地位游戏是两类判据,先分类再选
---
## 相关 skills (阶段 3 定稿)
- contrasts-with: `long-term-compounding`(正和/零和 vs 长期/短期) - composes-with: `happiness-skill`(单人游戏是幸福的地基)
---
## 审计信息
- **验证通过**: V1 ✓ / V2 ✓ / V3 ✓ (v09) - **测试通过率**: 见 test-results.md - **蒸馏时间**: 2026-08-01
Source provenance
Decision snapshot
9,334 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-selection, ready for a manual X post.
A practical pick for a repeatable workflow: game-selection: 当用户困惑「为什么有人攻击我/为什么大家卷来卷去/我怎么不在乎别人眼光/为什么妒忌」时调用。 核心理念: 人生同时存在零和地位游戏、正和财富游戏、单人游戏; 识别你玩的是哪种游戏, 避免地位游戏, 回到内在记分卡。 不适用于: 具体竞争策略制定(... 9.3K stars https://www.openagentskill.com/skills/kangarooking-game-selection?ref=x
Listing + install path for game-selection: https://www.openagentskill.com/skills/kangarooking-game-selection?ref=x Install: npx skills add kangarooking/cangjie-skill --skill game-selection
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
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Creator backlink kit
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[](https://www.openagentskill.com/skills/kangarooking-game-selection?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/kangarooking-game-selection?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/kangarooking-game-selection/audit)
[](https://www.openagentskill.com/skills/kangarooking-game-selection?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)kangarooking
@kangarooking
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Install targets
Codex install prompt
Install the "game-selection" agent skill from https://github.com/kangarooking/cangjie-skill/tree/main/books/naval-almanack-skill/game-selection. 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: 当用户困惑「为什么有人攻击我/为什么大家卷来卷去/我怎么不在乎别人眼光/为什么妒忌」时调用。 核心理念: 人生同时存在零和地位游戏、正和财富游戏、单人游戏; 识别你玩的是哪种游戏, 避免地位游戏, 回到内在记分卡。 不适用于: 具体竞争策略制定(如何赢下某个比赛)。 Triggers: 地位/攀比/内卷/妒忌/别人怎么看我/零和/单人游戏/status game/envy 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":"kangarooking-game-selection","task":"Install game-selection","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
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Testing and QA
I need my agent to test a web app, reproduce bugs, and verify fixes.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add kangarooking/cangjie-skill --skill game-selection
Maintenance
fresh
7d since push
Risk
Safe to try
Quality score needs review
GitHub quality
9.3K
91/100 Quality · 88/100 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
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
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
9.3K GitHub stars
Repo activity
9.3K stars, 1.1K forks
Maintenance
7d since push
License
MIT
Install
npx skills add kangarooking/cangjie-skill --skill game-selection
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 kangarooking/cangjie-skill --skill game-selectionDo not use when
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-selection%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20game-selection%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/kangarooking-game-selection/install
Agent should check
Copy prompt
Task: Use game-selection in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20game-selection%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/kangarooking-game-selection/install
Install command: npx skills add kangarooking/cangjie-skill --skill game-selection
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/kangarooking-game-selection/install
LLM text format
/api/skills/kangarooking-game-selection/install?format=text
Find alternatives
/api/skills/search?q=game-selection&limit=3
Agent prompt
Use game-selection for this task. Review https://www.openagentskill.com/api/skills/kangarooking-game-selection/install, then install with: npx skills add kangarooking/cangjie-skill --skill game-selectionRegistry 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/kangarooking-game-selection
LLM text
/api/registry/manifest/kangarooking-game-selection?format=text
Install alias
/api/registry/install/kangarooking-game-selection
Recommend
/api/registry/recommend?task=Use%20game-selection%20in%20an%20agent%20workflow&limit=3
Agent fit
Browser automation
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
Browser automation
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
PASS9.3K GitHub stars
Stars/forks activity
PASS9.3K stars, 1.1K forks; issue activity unavailable in current metadata
Recent maintenance
PASS7d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Workflow fit
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Alternative shortlist
Similar skills that may fit this task.
Run multimodal agents that operate desktop interfaces
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利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full documentation at
--- name: game-selection description: | 当用户困惑「为什么有人攻击我/为什么大家卷来卷去/我怎么不在乎别人眼光/为什么妒忌」时调用。 核心理念: 人生同时存在零和地位游戏、正和财富游戏、单人游戏; 识别你玩的是哪种游戏, 避免地位游戏, 回到内在记分卡。 不适用于: 具体竞争策略制定(如何赢下某个比赛)。 Triggers: 地位/攀比/内卷/妒忌/别人怎么看我/零和/单人游戏/status game/envy source_book: 《纳瓦尔宝典:财富与幸福指南》 纳瓦尔·拉维坎特 source_chapter: 第二章·幸福 / 第一节 学习幸福 / 妒忌是幸福的敌人 tags: [status, zero-sum, happiness, psychology] related_skills: - slug: long-term-compounding relation: contrasts-with - slug: happiness-skill relation: composes-with ---
# 游戏选择:识别地位游戏与单人游戏
## R — 原文 (Reading)
> 财富创造是最近进化出来的正和游戏。地位争夺是古老的零和游戏。那些攻击财富创造的人通常只是在追求地位。……事实上,人生就是一场单人游戏。你是独自一个人来到世界的。也将独自死去。 > > — 纳瓦尔·拉维坎特, 《纳瓦尔宝典》 第一章·财富 / 第二章·幸福
## I — 方法论骨架 (Interpretation)
人在一生中同时被卷入三种游戏,关键是识别自己在玩哪一种: ① **地位游戏**(零和)——等级排名,赢家必须击倒别人,政治/体育/学术排名属此类;参与它会让人愤怒好斗; ② **财富游戏**(正和)——把饼做大,人人可赢,是近现代才出现的新游戏; ③ **单人游戏**(内在)——幸福、平静、自我成长,没有外部进度条和外部验证,所有真正的记分卡都在内在。 使用方法:被攻击时先问「他在玩什么游戏」(攻击创造财富者的人多在追求地位); 被攀比/妒忌困扰时,用巴菲特的内在/外在记分卡测试,并用妒忌消解法——「如果我不愿与他完全交换身份,妒忌就无意义」。
## A1 — 书中的应用 (Past Application)
### 案例 1: 巴菲特的内在记分卡 - **问题**: 用外部名声还是内在标准评价自己 - **方法论的使用**: 问「你想成为名声最差但最好的情人,还是名声最好但最糟糕的情人」 - **结论**: 所有真正的记分卡是内在的 - **结果**: 作者转向修炼内在自我
### 案例 2: 妒忌消解实验 - **问题**: 年轻时妒忌心重 - **方法论的使用**: 意识到「我不能只选他人生活的某几个片段,要么完全交换身份要么不妒忌」 - **结论**: 「一旦我意识到这一点,妒忌就会消失,因为我不想成为别人」 - **结果**: 妒忌不再主导情绪
## A2 — 触发场景 (Future Trigger) ★
### 用户会在什么情境下需要这个 skill?
1. 被攻击/被比较:「为什么有人针对我/贬低我」 2. 内卷倦怠:「大家都这么卷有意义吗」 3. 妒忌:「看到别人成功我好难受」 4. 意义校准:「我做这件事到底为了什么」
### 语言信号
- "别人在玩什么游戏/为什么都针对我" - "我很妒忌/很在意别人看法" - "内卷/攀比/面子" - "status / zero-sum / why do people attack me / envy"
### 与相邻 skill 的区分
- 与 `long-term-compounding` 的区别: 本 skill 识别博弈结构;复利 skill 处理时间尺度 - 与 `happiness-skill` 的区别: 本 skill 是博弈分类,幸福 skill 是状态训练
## E — 可执行步骤 (Execution)
1. **识别游戏类型** - 完成标准: 对当前处境回答「这是零和、正和、还是单人游戏?」 - 判停条件: 若确认是零和地位游戏且非必要,直接标记「不值得赢」,跳到步骤 3
2. **测试记分卡** - 完成标准: 问自己「如果把外部评价全部移除,这件事我还做吗?」——区分内在/外在动机
3. **跑妒忌消解** - 完成标准: 对每个妒忌对象问「我愿意与他完全交换身份(包括所有反应/家庭/自我形象)吗?」;不愿→放下
4. **回到单人游戏投入** - 完成标准: 把本周至少 1 项行动改为「只为自己的内在标准」执行
## B — 边界 (Boundary) ★
### 不要在以下情况使用此 skill
- 用户需要在竞争里赢(体育/职场晋升)——此时应给竞争策略而非「退出游戏」 - 地位游戏无法避免的场合(政治/组织内),本书立场是识别而非硬刚
### 作者在书中警告的失败模式
- 玩地位游戏会让你变成愤怒好斗的人: 「你总是在窝里斗,损人利己」 - 用外部进度条训练内在能力: 瑜伽/冥想难坚持是因为没有外在价值
### 作者的盲点 / 时代局限
- 「完全不玩地位游戏」在组织生存中并不现实;作者有资本网络作为退路 - 单人游戏叙事可能滑向回避现实竞争
### 容易混淆的邻近方法论
- `long-term-compounding`: 长期正和游戏 vs 零和地位游戏是两类判据,先分类再选
---
## 相关 skills (阶段 3 定稿)
- contrasts-with: `long-term-compounding`(正和/零和 vs 长期/短期) - composes-with: `happiness-skill`(单人游戏是幸福的地基)
---
## 审计信息
- **验证通过**: V1 ✓ / V2 ✓ / V3 ✓ (v09) - **测试通过率**: 见 test-results.md - **蒸馏时间**: 2026-08-01
Source provenance
Decision snapshot
9,334 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-selection, ready for a manual X post.
A practical pick for a repeatable workflow: game-selection: 当用户困惑「为什么有人攻击我/为什么大家卷来卷去/我怎么不在乎别人眼光/为什么妒忌」时调用。 核心理念: 人生同时存在零和地位游戏、正和财富游戏、单人游戏; 识别你玩的是哪种游戏, 避免地位游戏, 回到内在记分卡。 不适用于: 具体竞争策略制定(... 9.3K stars https://www.openagentskill.com/skills/kangarooking-game-selection?ref=x
Listing + install path for game-selection: https://www.openagentskill.com/skills/kangarooking-game-selection?ref=x Install: npx skills add kangarooking/cangjie-skill --skill game-selection
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to kangarooking but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/kangarooking-game-selection?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/kangarooking-game-selection?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/kangarooking-game-selection/audit)
[](https://www.openagentskill.com/skills/kangarooking-game-selection?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)kangarooking
@kangarooking
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
UI-TARS Desktop
Run multimodal agents that operate desktop interfaces
37.0K Starsn8n
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194.1K StarsMoneyPrinterTurbo
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
88.5K StarsTasmota
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24.7K StarsPermission surface
no high-risk permission surface in public metadata
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
no high-risk permission surface in public metadata
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
no high-risk permission surface in public metadata
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
no high-risk permission surface in public metadata
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness