Creator · kangarooking
Last updated · Sep 1, 2026
当用户在重大选择上纠结(换工作/买房/搬城/合伙/结婚)、列了利弊表还是拿不定主意时调用。 核心理念: 无法决定就答否; 三个重大决定(住哪/和谁/做什么)值得花一两年; 两个均等选择选短期更痛苦的路。 不适用于: 日常琐碎选择(晚饭吃什么)、信息查询。 Triggers: 纠结/拿不定主意/要不要/该不该/利弊/decision/hesitate/should I
Creator · kangarooking
Last updated · Sep 1, 2026
当用户在重大选择上纠结(换工作/买房/搬城/合伙/结婚)、列了利弊表还是拿不定主意时调用。 核心理念: 无法决定就答否; 三个重大决定(住哪/和谁/做什么)值得花一两年; 两个均等选择选短期更痛苦的路。 不适用于: 日常琐碎选择(晚饭吃什么)、信息查询。 Triggers: 纠结/拿不定主意/要不要/该不该/利弊/decision/hesitate/should I
Creator · kangarooking
Last updated · Sep 1, 2026
当用户在重大选择上纠结(换工作/买房/搬城/合伙/结婚)、列了利弊表还是拿不定主意时调用。 核心理念: 无法决定就答否; 三个重大决定(住哪/和谁/做什么)值得花一两年; 两个均等选择选短期更痛苦的路。 不适用于: 日常琐碎选择(晚饭吃什么)、信息查询。 Triggers: 纠结/拿不定主意/要不要/该不该/利弊/decision/hesitate/should I
Creator · kangarooking
Last updated · Sep 1, 2026
当用户在重大选择上纠结(换工作/买房/搬城/合伙/结婚)、列了利弊表还是拿不定主意时调用。 核心理念: 无法决定就答否; 三个重大决定(住哪/和谁/做什么)值得花一两年; 两个均等选择选短期更痛苦的路。 不适用于: 日常琐碎选择(晚饭吃什么)、信息查询。 Triggers: 纠结/拿不定主意/要不要/该不该/利弊/decision/hesitate/should I
Review then install
Install targets
Codex install prompt
Install the "decision-heuristics" agent skill from https://github.com/kangarooking/cangjie-skill/tree/main/benchmarks/naval/prototypes/compact-pack/decision-heuristics. 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: 当用户在重大选择上纠结(换工作/买房/搬城/合伙/结婚)、列了利弊表还是拿不定主意时调用。 核心理念: 无法决定就答否; 三个重大决定(住哪/和谁/做什么)值得花一两年; 两个均等选择选短期更痛苦的路。 不适用于: 日常琐碎选择(晚饭吃什么)、信息查询。 Triggers: 纠结/拿不定主意/要不要/该不该/利弊/decision/hesitate/should I 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-decision-heuristics","task":"Install decision-heuristics","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 decision-heuristics
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 decision-heuristics
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 decision-heuristicsDo 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%20decision-heuristics%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20decision-heuristics%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/kangarooking-decision-heuristics/install
Agent should check
Copy prompt
Task: Use decision-heuristics in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20decision-heuristics%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/kangarooking-decision-heuristics/install
Install command: npx skills add kangarooking/cangjie-skill --skill decision-heuristics
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-decision-heuristics/install
LLM text format
/api/skills/kangarooking-decision-heuristics/install?format=text
Find alternatives
/api/skills/search?q=decision-heuristics&limit=3
Agent prompt
Use decision-heuristics for this task. Review https://www.openagentskill.com/api/skills/kangarooking-decision-heuristics/install, then install with: npx skills add kangarooking/cangjie-skill --skill decision-heuristicsRegistry 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-decision-heuristics
LLM text
/api/registry/manifest/kangarooking-decision-heuristics?format=text
Install alias
/api/registry/install/kangarooking-decision-heuristics
Recommend
/api/registry/recommend?task=Use%20decision-heuristics%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.
Verify behavior
I need my agent to test a web app, reproduce bugs, and verify fixes.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
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: decision-heuristics description: | 当用户在重大选择上纠结(换工作/买房/搬城/合伙/结婚)、列了利弊表还是拿不定主意时调用。 核心理念: 无法决定就答否; 三个重大决定(住哪/和谁/做什么)值得花一两年; 两个均等选择选短期更痛苦的路。 不适用于: 日常琐碎选择(晚饭吃什么)、信息查询。 Triggers: 纠结/拿不定主意/要不要/该不该/利弊/decision/hesitate/should I source_book: 《纳瓦尔宝典:财富与幸福指南》 纳瓦尔·拉维坎特 source_chapter: 第一章·财富 / 第二节 培养判断力 / 如果你无法下决定就回答否 tags: [decision, heuristics, career, life-choice] related_skills: - slug: judgment-training relation: composes-with - slug: hourly-rate-time relation: composes-with - slug: acceptance relation: contrasts-with ---
# 重大决策启发式
## R — 原文 (Reading)
> 如果你无法下决定,就回答否。原因是,现代社会充满了选择。……当你选择某些事物时,你会被锁定一段很长的时间。……简单的启发式算法:如果你在一个困难的决定上有同等程度的分歧,那么就选择在短期内会更痛苦的那条路。 > > — 纳瓦尔·拉维坎特, 《纳瓦尔宝典》 第一章·财富
## I — 方法论骨架 (Interpretation)
现代社会的选择无穷多,而每个重大选择的锁定时间极长(创业十年、感情五年以上、城市十年以上), 所以决策的默认值是「否」——只有非常确定时才说「是」。 三条可执行启发式: ① **决策门**:无法决定就答否;做利弊电子表格本身就是「不够确定」的信号,忘掉它; ② **三个重大决定**:住哪/和谁在一起/做什么决定人生轨迹,值得花一两年认真决定,同时对所有不重要的事说不; ③ **短期痛苦原则**:两个均等选项之间,选短期更痛苦的那条——按复利逻辑它对应长期收益,而大脑本能回避短期痛苦。 这套启发式专治「过度纠结」,不是用来分析日常小选择。
## A1 — 书中的应用 (Past Application)
### 案例 1: 读不懂的书与练酸痛的肌肉 - **问题**: 大脑回避短期痛苦(读难书/健身) - **方法论的使用**: 把短期痛苦当长期收益的信号 - **结论**: 「生命中大多数收益都是来自于短期的痛苦」 - **结果**: 作者用健身/读书验证该原则并长期执行
### 案例 2: 冷水澡的启示 - **问题**: 每天早上面对令人逃避的冷水澡 - **方法论的使用**: 大部分痛苦来自逃避,直接走进去 - **结论**: 「一旦你进去了,你就是进去了。这不是痛苦。这只是冷。」 - **结果**: 成为每天重训该教训的习惯
## A2 — 触发场景 (Future Trigger) ★
### 用户会在什么情境下需要这个 skill?
1. 重大选择纠结:「要不要跳槽/买房/搬去另一个城市/合伙」 2. 利弊表做了很久:「列了十项利弊还是拿不定主意」 3. 机会太多:「这个也想做那个也想做,怎么选」 4. 需要说不:「怎么拒绝一个'还行'的机会」
### 语言信号
- "我纠结要不要……" - "这个决定该不该做" - "我该选哪个(两个选项都还行)" - "can't decide / should I take it / pros and cons"
### 与相邻 skill 的区分
- 与 `acceptance` 的区别: 本 skill 处理「能改变的选择」;接受处理「不能改变/只能接受或离开」的处境 - 与 `judgment-training` 的区别: 判断力是底层能力,本 skill 是即用启发式
## E — 可执行步骤 (Execution)
1. **判断这是不是重大决定** - 完成标准: 是「住哪/和谁/做什么」类(锁定 ≥5 年)才算;日常选择走普通决策
2. **跑决策门** - 完成标准: 若无法当场决定且开始列利弊表 → 默认答「否」,除非有非常确定的新证据
3. **两个均等选项时选短期更痛苦的路** - 完成标准: 明确两个选项「均等」,确认其中一个短期更痛苦,选它 - 判停条件: 若选项不等(一方明显更差),直接排除差的,不套启发式
4. **给重大决定分配应有的时间** - 完成标准: 对影响十年生活的决定,规划 1–2 年的调研窗口,期间对不重要的机会说不
## B — 边界 (Boundary) ★
### 不要在以下情况使用此 skill
- 日常琐碎选择(晚餐/穿搭/娱乐)——启发式会误伤生活 - 对方已有明确偏好、只需要执行(先确认真实犹豫点)
### 作者在书中警告的失败模式
- 用列表逃避决策: 「如果你发现你自己做了一个关于决定的电子表格……那就忘了它吧」 - 对不重要的事说「是」: 会把时间全部占满,无法聚焦重大问题
### 作者的盲点 / 时代局限
- 「答否」默认值适合机会富余者;资源稀缺环境里「否」可能让你错过唯一机会 - 短期痛苦≠总是正确(存在纯粹的坏痛苦),需先排除「纯损害」选项
### 容易混淆的邻近方法论
- `hourly-rate-time`: 时薪解决时间价值,本 skill 解决选择结构
---
## 相关 skills (阶段 3 定稿)
- composes-with: `judgment-training`(启发式背后的能力)、`hourly-rate-time`(时薪作量化判据) - contrasts-with: `acceptance`(能改变 vs 只能接受)
---
## 审计信息
- **验证通过**: V1 ✓ / V2 ✓ / V3 ✓ (v05) - **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 decision-heuristics, ready for a manual X post.
decision-heuristics: 当用户在重大选择上纠结(换工作/买房/搬城/合伙/结婚)、列了利弊表还是拿不定主意时调用。 核心理念: 无法决定就答否; 三个重大决定(住哪/和谁/做什么)值得花一两年; 两个均等选择选... 9.3K stars https://www.openagentskill.com/skills/kangarooking-decision-heuristics?ref=x
Listing + install path for decision-heuristics: https://www.openagentskill.com/skills/kangarooking-decision-heuristics?ref=x Install: npx skills add kangarooking/cangjie-skill --skill decision-heuristics
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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@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 "decision-heuristics" agent skill from https://github.com/kangarooking/cangjie-skill/tree/main/benchmarks/naval/prototypes/compact-pack/decision-heuristics. 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: 当用户在重大选择上纠结(换工作/买房/搬城/合伙/结婚)、列了利弊表还是拿不定主意时调用。 核心理念: 无法决定就答否; 三个重大决定(住哪/和谁/做什么)值得花一两年; 两个均等选择选短期更痛苦的路。 不适用于: 日常琐碎选择(晚饭吃什么)、信息查询。 Triggers: 纠结/拿不定主意/要不要/该不该/利弊/decision/hesitate/should I 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-decision-heuristics","task":"Install decision-heuristics","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 decision-heuristics
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 decision-heuristics
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 decision-heuristicsDo 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%20decision-heuristics%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20decision-heuristics%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/kangarooking-decision-heuristics/install
Agent should check
Copy prompt
Task: Use decision-heuristics in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20decision-heuristics%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/kangarooking-decision-heuristics/install
Install command: npx skills add kangarooking/cangjie-skill --skill decision-heuristics
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-decision-heuristics/install
LLM text format
/api/skills/kangarooking-decision-heuristics/install?format=text
Find alternatives
/api/skills/search?q=decision-heuristics&limit=3
Agent prompt
Use decision-heuristics for this task. Review https://www.openagentskill.com/api/skills/kangarooking-decision-heuristics/install, then install with: npx skills add kangarooking/cangjie-skill --skill decision-heuristicsRegistry 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-decision-heuristics
LLM text
/api/registry/manifest/kangarooking-decision-heuristics?format=text
Install alias
/api/registry/install/kangarooking-decision-heuristics
Recommend
/api/registry/recommend?task=Use%20decision-heuristics%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.
Verify behavior
I need my agent to test a web app, reproduce bugs, and verify fixes.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
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
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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: decision-heuristics description: | 当用户在重大选择上纠结(换工作/买房/搬城/合伙/结婚)、列了利弊表还是拿不定主意时调用。 核心理念: 无法决定就答否; 三个重大决定(住哪/和谁/做什么)值得花一两年; 两个均等选择选短期更痛苦的路。 不适用于: 日常琐碎选择(晚饭吃什么)、信息查询。 Triggers: 纠结/拿不定主意/要不要/该不该/利弊/decision/hesitate/should I source_book: 《纳瓦尔宝典:财富与幸福指南》 纳瓦尔·拉维坎特 source_chapter: 第一章·财富 / 第二节 培养判断力 / 如果你无法下决定就回答否 tags: [decision, heuristics, career, life-choice] related_skills: - slug: judgment-training relation: composes-with - slug: hourly-rate-time relation: composes-with - slug: acceptance relation: contrasts-with ---
# 重大决策启发式
## R — 原文 (Reading)
> 如果你无法下决定,就回答否。原因是,现代社会充满了选择。……当你选择某些事物时,你会被锁定一段很长的时间。……简单的启发式算法:如果你在一个困难的决定上有同等程度的分歧,那么就选择在短期内会更痛苦的那条路。 > > — 纳瓦尔·拉维坎特, 《纳瓦尔宝典》 第一章·财富
## I — 方法论骨架 (Interpretation)
现代社会的选择无穷多,而每个重大选择的锁定时间极长(创业十年、感情五年以上、城市十年以上), 所以决策的默认值是「否」——只有非常确定时才说「是」。 三条可执行启发式: ① **决策门**:无法决定就答否;做利弊电子表格本身就是「不够确定」的信号,忘掉它; ② **三个重大决定**:住哪/和谁在一起/做什么决定人生轨迹,值得花一两年认真决定,同时对所有不重要的事说不; ③ **短期痛苦原则**:两个均等选项之间,选短期更痛苦的那条——按复利逻辑它对应长期收益,而大脑本能回避短期痛苦。 这套启发式专治「过度纠结」,不是用来分析日常小选择。
## A1 — 书中的应用 (Past Application)
### 案例 1: 读不懂的书与练酸痛的肌肉 - **问题**: 大脑回避短期痛苦(读难书/健身) - **方法论的使用**: 把短期痛苦当长期收益的信号 - **结论**: 「生命中大多数收益都是来自于短期的痛苦」 - **结果**: 作者用健身/读书验证该原则并长期执行
### 案例 2: 冷水澡的启示 - **问题**: 每天早上面对令人逃避的冷水澡 - **方法论的使用**: 大部分痛苦来自逃避,直接走进去 - **结论**: 「一旦你进去了,你就是进去了。这不是痛苦。这只是冷。」 - **结果**: 成为每天重训该教训的习惯
## A2 — 触发场景 (Future Trigger) ★
### 用户会在什么情境下需要这个 skill?
1. 重大选择纠结:「要不要跳槽/买房/搬去另一个城市/合伙」 2. 利弊表做了很久:「列了十项利弊还是拿不定主意」 3. 机会太多:「这个也想做那个也想做,怎么选」 4. 需要说不:「怎么拒绝一个'还行'的机会」
### 语言信号
- "我纠结要不要……" - "这个决定该不该做" - "我该选哪个(两个选项都还行)" - "can't decide / should I take it / pros and cons"
### 与相邻 skill 的区分
- 与 `acceptance` 的区别: 本 skill 处理「能改变的选择」;接受处理「不能改变/只能接受或离开」的处境 - 与 `judgment-training` 的区别: 判断力是底层能力,本 skill 是即用启发式
## E — 可执行步骤 (Execution)
1. **判断这是不是重大决定** - 完成标准: 是「住哪/和谁/做什么」类(锁定 ≥5 年)才算;日常选择走普通决策
2. **跑决策门** - 完成标准: 若无法当场决定且开始列利弊表 → 默认答「否」,除非有非常确定的新证据
3. **两个均等选项时选短期更痛苦的路** - 完成标准: 明确两个选项「均等」,确认其中一个短期更痛苦,选它 - 判停条件: 若选项不等(一方明显更差),直接排除差的,不套启发式
4. **给重大决定分配应有的时间** - 完成标准: 对影响十年生活的决定,规划 1–2 年的调研窗口,期间对不重要的机会说不
## B — 边界 (Boundary) ★
### 不要在以下情况使用此 skill
- 日常琐碎选择(晚餐/穿搭/娱乐)——启发式会误伤生活 - 对方已有明确偏好、只需要执行(先确认真实犹豫点)
### 作者在书中警告的失败模式
- 用列表逃避决策: 「如果你发现你自己做了一个关于决定的电子表格……那就忘了它吧」 - 对不重要的事说「是」: 会把时间全部占满,无法聚焦重大问题
### 作者的盲点 / 时代局限
- 「答否」默认值适合机会富余者;资源稀缺环境里「否」可能让你错过唯一机会 - 短期痛苦≠总是正确(存在纯粹的坏痛苦),需先排除「纯损害」选项
### 容易混淆的邻近方法论
- `hourly-rate-time`: 时薪解决时间价值,本 skill 解决选择结构
---
## 相关 skills (阶段 3 定稿)
- composes-with: `judgment-training`(启发式背后的能力)、`hourly-rate-time`(时薪作量化判据) - contrasts-with: `acceptance`(能改变 vs 只能接受)
---
## 审计信息
- **验证通过**: V1 ✓ / V2 ✓ / V3 ✓ (v05) - **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 decision-heuristics, ready for a manual X post.
decision-heuristics: 当用户在重大选择上纠结(换工作/买房/搬城/合伙/结婚)、列了利弊表还是拿不定主意时调用。 核心理念: 无法决定就答否; 三个重大决定(住哪/和谁/做什么)值得花一两年; 两个均等选择选... 9.3K stars https://www.openagentskill.com/skills/kangarooking-decision-heuristics?ref=x
Listing + install path for decision-heuristics: https://www.openagentskill.com/skills/kangarooking-decision-heuristics?ref=x Install: npx skills add kangarooking/cangjie-skill --skill decision-heuristics
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-decision-heuristics/audit)
[](https://www.openagentskill.com/skills/kangarooking-decision-heuristics?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)kangarooking
@kangarooking
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Review then install
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Install targets
Codex install prompt
Install the "decision-heuristics" agent skill from https://github.com/kangarooking/cangjie-skill/tree/main/benchmarks/naval/prototypes/compact-pack/decision-heuristics. 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: 当用户在重大选择上纠结(换工作/买房/搬城/合伙/结婚)、列了利弊表还是拿不定主意时调用。 核心理念: 无法决定就答否; 三个重大决定(住哪/和谁/做什么)值得花一两年; 两个均等选择选短期更痛苦的路。 不适用于: 日常琐碎选择(晚饭吃什么)、信息查询。 Triggers: 纠结/拿不定主意/要不要/该不该/利弊/decision/hesitate/should I 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-decision-heuristics","task":"Install decision-heuristics","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 decision-heuristics
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 decision-heuristics
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 decision-heuristicsDo 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%20decision-heuristics%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20decision-heuristics%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/kangarooking-decision-heuristics/install
Agent should check
Copy prompt
Task: Use decision-heuristics in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20decision-heuristics%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/kangarooking-decision-heuristics/install
Install command: npx skills add kangarooking/cangjie-skill --skill decision-heuristics
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-decision-heuristics/install
LLM text format
/api/skills/kangarooking-decision-heuristics/install?format=text
Find alternatives
/api/skills/search?q=decision-heuristics&limit=3
Agent prompt
Use decision-heuristics for this task. Review https://www.openagentskill.com/api/skills/kangarooking-decision-heuristics/install, then install with: npx skills add kangarooking/cangjie-skill --skill decision-heuristicsRegistry 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-decision-heuristics
LLM text
/api/registry/manifest/kangarooking-decision-heuristics?format=text
Install alias
/api/registry/install/kangarooking-decision-heuristics
Recommend
/api/registry/recommend?task=Use%20decision-heuristics%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.
Verify behavior
I need my agent to test a web app, reproduce bugs, and verify fixes.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
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: decision-heuristics description: | 当用户在重大选择上纠结(换工作/买房/搬城/合伙/结婚)、列了利弊表还是拿不定主意时调用。 核心理念: 无法决定就答否; 三个重大决定(住哪/和谁/做什么)值得花一两年; 两个均等选择选短期更痛苦的路。 不适用于: 日常琐碎选择(晚饭吃什么)、信息查询。 Triggers: 纠结/拿不定主意/要不要/该不该/利弊/decision/hesitate/should I source_book: 《纳瓦尔宝典:财富与幸福指南》 纳瓦尔·拉维坎特 source_chapter: 第一章·财富 / 第二节 培养判断力 / 如果你无法下决定就回答否 tags: [decision, heuristics, career, life-choice] related_skills: - slug: judgment-training relation: composes-with - slug: hourly-rate-time relation: composes-with - slug: acceptance relation: contrasts-with ---
# 重大决策启发式
## R — 原文 (Reading)
> 如果你无法下决定,就回答否。原因是,现代社会充满了选择。……当你选择某些事物时,你会被锁定一段很长的时间。……简单的启发式算法:如果你在一个困难的决定上有同等程度的分歧,那么就选择在短期内会更痛苦的那条路。 > > — 纳瓦尔·拉维坎特, 《纳瓦尔宝典》 第一章·财富
## I — 方法论骨架 (Interpretation)
现代社会的选择无穷多,而每个重大选择的锁定时间极长(创业十年、感情五年以上、城市十年以上), 所以决策的默认值是「否」——只有非常确定时才说「是」。 三条可执行启发式: ① **决策门**:无法决定就答否;做利弊电子表格本身就是「不够确定」的信号,忘掉它; ② **三个重大决定**:住哪/和谁在一起/做什么决定人生轨迹,值得花一两年认真决定,同时对所有不重要的事说不; ③ **短期痛苦原则**:两个均等选项之间,选短期更痛苦的那条——按复利逻辑它对应长期收益,而大脑本能回避短期痛苦。 这套启发式专治「过度纠结」,不是用来分析日常小选择。
## A1 — 书中的应用 (Past Application)
### 案例 1: 读不懂的书与练酸痛的肌肉 - **问题**: 大脑回避短期痛苦(读难书/健身) - **方法论的使用**: 把短期痛苦当长期收益的信号 - **结论**: 「生命中大多数收益都是来自于短期的痛苦」 - **结果**: 作者用健身/读书验证该原则并长期执行
### 案例 2: 冷水澡的启示 - **问题**: 每天早上面对令人逃避的冷水澡 - **方法论的使用**: 大部分痛苦来自逃避,直接走进去 - **结论**: 「一旦你进去了,你就是进去了。这不是痛苦。这只是冷。」 - **结果**: 成为每天重训该教训的习惯
## A2 — 触发场景 (Future Trigger) ★
### 用户会在什么情境下需要这个 skill?
1. 重大选择纠结:「要不要跳槽/买房/搬去另一个城市/合伙」 2. 利弊表做了很久:「列了十项利弊还是拿不定主意」 3. 机会太多:「这个也想做那个也想做,怎么选」 4. 需要说不:「怎么拒绝一个'还行'的机会」
### 语言信号
- "我纠结要不要……" - "这个决定该不该做" - "我该选哪个(两个选项都还行)" - "can't decide / should I take it / pros and cons"
### 与相邻 skill 的区分
- 与 `acceptance` 的区别: 本 skill 处理「能改变的选择」;接受处理「不能改变/只能接受或离开」的处境 - 与 `judgment-training` 的区别: 判断力是底层能力,本 skill 是即用启发式
## E — 可执行步骤 (Execution)
1. **判断这是不是重大决定** - 完成标准: 是「住哪/和谁/做什么」类(锁定 ≥5 年)才算;日常选择走普通决策
2. **跑决策门** - 完成标准: 若无法当场决定且开始列利弊表 → 默认答「否」,除非有非常确定的新证据
3. **两个均等选项时选短期更痛苦的路** - 完成标准: 明确两个选项「均等」,确认其中一个短期更痛苦,选它 - 判停条件: 若选项不等(一方明显更差),直接排除差的,不套启发式
4. **给重大决定分配应有的时间** - 完成标准: 对影响十年生活的决定,规划 1–2 年的调研窗口,期间对不重要的机会说不
## B — 边界 (Boundary) ★
### 不要在以下情况使用此 skill
- 日常琐碎选择(晚餐/穿搭/娱乐)——启发式会误伤生活 - 对方已有明确偏好、只需要执行(先确认真实犹豫点)
### 作者在书中警告的失败模式
- 用列表逃避决策: 「如果你发现你自己做了一个关于决定的电子表格……那就忘了它吧」 - 对不重要的事说「是」: 会把时间全部占满,无法聚焦重大问题
### 作者的盲点 / 时代局限
- 「答否」默认值适合机会富余者;资源稀缺环境里「否」可能让你错过唯一机会 - 短期痛苦≠总是正确(存在纯粹的坏痛苦),需先排除「纯损害」选项
### 容易混淆的邻近方法论
- `hourly-rate-time`: 时薪解决时间价值,本 skill 解决选择结构
---
## 相关 skills (阶段 3 定稿)
- composes-with: `judgment-training`(启发式背后的能力)、`hourly-rate-time`(时薪作量化判据) - contrasts-with: `acceptance`(能改变 vs 只能接受)
---
## 审计信息
- **验证通过**: V1 ✓ / V2 ✓ / V3 ✓ (v05) - **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 decision-heuristics, ready for a manual X post.
decision-heuristics: 当用户在重大选择上纠结(换工作/买房/搬城/合伙/结婚)、列了利弊表还是拿不定主意时调用。 核心理念: 无法决定就答否; 三个重大决定(住哪/和谁/做什么)值得花一两年; 两个均等选择选... 9.3K stars https://www.openagentskill.com/skills/kangarooking-decision-heuristics?ref=x
Listing + install path for decision-heuristics: https://www.openagentskill.com/skills/kangarooking-decision-heuristics?ref=x Install: npx skills add kangarooking/cangjie-skill --skill decision-heuristics
Listing source
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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-decision-heuristics?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/kangarooking-decision-heuristics/audit)
[](https://www.openagentskill.com/skills/kangarooking-decision-heuristics?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)kangarooking
@kangarooking
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Review then install
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Install targets
Codex install prompt
Install the "decision-heuristics" agent skill from https://github.com/kangarooking/cangjie-skill/tree/main/benchmarks/naval/prototypes/compact-pack/decision-heuristics. 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: 当用户在重大选择上纠结(换工作/买房/搬城/合伙/结婚)、列了利弊表还是拿不定主意时调用。 核心理念: 无法决定就答否; 三个重大决定(住哪/和谁/做什么)值得花一两年; 两个均等选择选短期更痛苦的路。 不适用于: 日常琐碎选择(晚饭吃什么)、信息查询。 Triggers: 纠结/拿不定主意/要不要/该不该/利弊/decision/hesitate/should I 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-decision-heuristics","task":"Install decision-heuristics","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 decision-heuristics
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 decision-heuristics
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 decision-heuristicsDo 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%20decision-heuristics%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20decision-heuristics%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/kangarooking-decision-heuristics/install
Agent should check
Copy prompt
Task: Use decision-heuristics in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20decision-heuristics%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/kangarooking-decision-heuristics/install
Install command: npx skills add kangarooking/cangjie-skill --skill decision-heuristics
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-decision-heuristics/install
LLM text format
/api/skills/kangarooking-decision-heuristics/install?format=text
Find alternatives
/api/skills/search?q=decision-heuristics&limit=3
Agent prompt
Use decision-heuristics for this task. Review https://www.openagentskill.com/api/skills/kangarooking-decision-heuristics/install, then install with: npx skills add kangarooking/cangjie-skill --skill decision-heuristicsRegistry 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-decision-heuristics
LLM text
/api/registry/manifest/kangarooking-decision-heuristics?format=text
Install alias
/api/registry/install/kangarooking-decision-heuristics
Recommend
/api/registry/recommend?task=Use%20decision-heuristics%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.
Verify behavior
I need my agent to test a web app, reproduce bugs, and verify fixes.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
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: decision-heuristics description: | 当用户在重大选择上纠结(换工作/买房/搬城/合伙/结婚)、列了利弊表还是拿不定主意时调用。 核心理念: 无法决定就答否; 三个重大决定(住哪/和谁/做什么)值得花一两年; 两个均等选择选短期更痛苦的路。 不适用于: 日常琐碎选择(晚饭吃什么)、信息查询。 Triggers: 纠结/拿不定主意/要不要/该不该/利弊/decision/hesitate/should I source_book: 《纳瓦尔宝典:财富与幸福指南》 纳瓦尔·拉维坎特 source_chapter: 第一章·财富 / 第二节 培养判断力 / 如果你无法下决定就回答否 tags: [decision, heuristics, career, life-choice] related_skills: - slug: judgment-training relation: composes-with - slug: hourly-rate-time relation: composes-with - slug: acceptance relation: contrasts-with ---
# 重大决策启发式
## R — 原文 (Reading)
> 如果你无法下决定,就回答否。原因是,现代社会充满了选择。……当你选择某些事物时,你会被锁定一段很长的时间。……简单的启发式算法:如果你在一个困难的决定上有同等程度的分歧,那么就选择在短期内会更痛苦的那条路。 > > — 纳瓦尔·拉维坎特, 《纳瓦尔宝典》 第一章·财富
## I — 方法论骨架 (Interpretation)
现代社会的选择无穷多,而每个重大选择的锁定时间极长(创业十年、感情五年以上、城市十年以上), 所以决策的默认值是「否」——只有非常确定时才说「是」。 三条可执行启发式: ① **决策门**:无法决定就答否;做利弊电子表格本身就是「不够确定」的信号,忘掉它; ② **三个重大决定**:住哪/和谁在一起/做什么决定人生轨迹,值得花一两年认真决定,同时对所有不重要的事说不; ③ **短期痛苦原则**:两个均等选项之间,选短期更痛苦的那条——按复利逻辑它对应长期收益,而大脑本能回避短期痛苦。 这套启发式专治「过度纠结」,不是用来分析日常小选择。
## A1 — 书中的应用 (Past Application)
### 案例 1: 读不懂的书与练酸痛的肌肉 - **问题**: 大脑回避短期痛苦(读难书/健身) - **方法论的使用**: 把短期痛苦当长期收益的信号 - **结论**: 「生命中大多数收益都是来自于短期的痛苦」 - **结果**: 作者用健身/读书验证该原则并长期执行
### 案例 2: 冷水澡的启示 - **问题**: 每天早上面对令人逃避的冷水澡 - **方法论的使用**: 大部分痛苦来自逃避,直接走进去 - **结论**: 「一旦你进去了,你就是进去了。这不是痛苦。这只是冷。」 - **结果**: 成为每天重训该教训的习惯
## A2 — 触发场景 (Future Trigger) ★
### 用户会在什么情境下需要这个 skill?
1. 重大选择纠结:「要不要跳槽/买房/搬去另一个城市/合伙」 2. 利弊表做了很久:「列了十项利弊还是拿不定主意」 3. 机会太多:「这个也想做那个也想做,怎么选」 4. 需要说不:「怎么拒绝一个'还行'的机会」
### 语言信号
- "我纠结要不要……" - "这个决定该不该做" - "我该选哪个(两个选项都还行)" - "can't decide / should I take it / pros and cons"
### 与相邻 skill 的区分
- 与 `acceptance` 的区别: 本 skill 处理「能改变的选择」;接受处理「不能改变/只能接受或离开」的处境 - 与 `judgment-training` 的区别: 判断力是底层能力,本 skill 是即用启发式
## E — 可执行步骤 (Execution)
1. **判断这是不是重大决定** - 完成标准: 是「住哪/和谁/做什么」类(锁定 ≥5 年)才算;日常选择走普通决策
2. **跑决策门** - 完成标准: 若无法当场决定且开始列利弊表 → 默认答「否」,除非有非常确定的新证据
3. **两个均等选项时选短期更痛苦的路** - 完成标准: 明确两个选项「均等」,确认其中一个短期更痛苦,选它 - 判停条件: 若选项不等(一方明显更差),直接排除差的,不套启发式
4. **给重大决定分配应有的时间** - 完成标准: 对影响十年生活的决定,规划 1–2 年的调研窗口,期间对不重要的机会说不
## B — 边界 (Boundary) ★
### 不要在以下情况使用此 skill
- 日常琐碎选择(晚餐/穿搭/娱乐)——启发式会误伤生活 - 对方已有明确偏好、只需要执行(先确认真实犹豫点)
### 作者在书中警告的失败模式
- 用列表逃避决策: 「如果你发现你自己做了一个关于决定的电子表格……那就忘了它吧」 - 对不重要的事说「是」: 会把时间全部占满,无法聚焦重大问题
### 作者的盲点 / 时代局限
- 「答否」默认值适合机会富余者;资源稀缺环境里「否」可能让你错过唯一机会 - 短期痛苦≠总是正确(存在纯粹的坏痛苦),需先排除「纯损害」选项
### 容易混淆的邻近方法论
- `hourly-rate-time`: 时薪解决时间价值,本 skill 解决选择结构
---
## 相关 skills (阶段 3 定稿)
- composes-with: `judgment-training`(启发式背后的能力)、`hourly-rate-time`(时薪作量化判据) - contrasts-with: `acceptance`(能改变 vs 只能接受)
---
## 审计信息
- **验证通过**: V1 ✓ / V2 ✓ / V3 ✓ (v05) - **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 decision-heuristics, ready for a manual X post.
decision-heuristics: 当用户在重大选择上纠结(换工作/买房/搬城/合伙/结婚)、列了利弊表还是拿不定主意时调用。 核心理念: 无法决定就答否; 三个重大决定(住哪/和谁/做什么)值得花一两年; 两个均等选择选... 9.3K stars https://www.openagentskill.com/skills/kangarooking-decision-heuristics?ref=x
Listing + install path for decision-heuristics: https://www.openagentskill.com/skills/kangarooking-decision-heuristics?ref=x Install: npx skills add kangarooking/cangjie-skill --skill decision-heuristics
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-decision-heuristics?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/kangarooking-decision-heuristics?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/kangarooking-decision-heuristics/audit)
[](https://www.openagentskill.com/skills/kangarooking-decision-heuristics?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
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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