Decision Heuristics

Q: What does the Decision Heuristics AI skill do?

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

CommunityPopular

kangarooking

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

Overview

Publisher	kangarooking
Repository	`cangjie-skill`
Skill name	`decision-heuristics`
Stars	10.2K
Forks	1.2K
Bundled files	2
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by kangarooking on GitHub. Read the source before you install it.

Installation

Install the Decision Heuristics AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/kangarooking/cangjie-skill/tree/main/benchmarks/naval/prototypes/compact-pack/decision-heuristics

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/kangarooking/cangjie-skill.git /tmp/cangjie-skill
mkdir -p .claude/skills
cp -r /tmp/cangjie-skill/benchmarks/naval/prototypes/compact-pack/decision-heuristics .claude/skills/decision-heuristics

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Decision Heuristics in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Decision Heuristics on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Decision Heuristics is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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?

重大选择纠结：「要不要跳槽/买房/搬去另一个城市/合伙」
利弊表做了很久：「列了十项利弊还是拿不定主意」
机会太多：「这个也想做那个也想做，怎么选」
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)

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
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
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
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

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

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

test-prompts.json2 KB
test-results.md1 KB

Frequently asked questions

What does the Decision Heuristics AI skill do?

Why use Decision Heuristics on TypingMind?

Because you install it once and use it with any model. Decision Heuristics is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Decision Heuristics in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kangarooking/cangjie-skill/tree/main/benchmarks/naval/prototypes/compact-pack/decision-heuristics. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Decision Heuristics?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Decision Heuristics?

As many as you like. As long as a model supports skills, you can use Decision Heuristics with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Decision Heuristics AI skill free?

Yes. It is published on GitHub by kangarooking under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Decision Heuristics

Overview