Float Thinking

Q: What does the Float Thinking AI skill do?

用户在寻找低成本杠杆替代方案，或分析"先收钱后提供服务"的商业模式的财务优势时。 语言信号:"有没有低成本的资金来源"/"预付款模式有什么好处"/"保险公司的商业模式"/"如何用别人的钱投资" 不适用于:不需要融资/杠杆分析的纯经营决策。

Q: Why use Float Thinking on TypingMind?

Because you install it once and use it with any model. Float Thinking 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.

Q: How do I install Float Thinking in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kangarooking/buffett-letters-skill/tree/main/float-thinking. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Q: Which AI models can use Float Thinking?

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.

Q: How many AI models can I use with Float Thinking?

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

Q: Is the Float Thinking 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.

Q: 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.

Q: 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.

Community

kangarooking

float-thinking

用户在寻找低成本杠杆替代方案，或分析"先收钱后提供服务"的商业模式的财务优势时。语言信号:"有没有低成本的资金来源"/"预付款模式有什么好处"/"保险公司的商业模式"/"如何用别人的钱投资" 不适用于:不需要融资/杠杆分析的纯经营决策。

Overview

Publisher	kangarooking
Repository	`buffett-letters-skill`
Skill name	`float-thinking`
Stars	109
Forks	20
Bundled files	1
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.
1 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 Float Thinking 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.
https://github.com/kangarooking/buffett-letters-skill/tree/main/float-thinking
Enable the skill in any chat where you want it available.

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/buffett-letters-skill.git /tmp/buffett-letters-skill
mkdir -p .claude/skills
cp -r /tmp/buffett-letters-skill/float-thinking .claude/skills/float-thinking

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

Use it in TypingMind

Enable Float Thinking 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 Float Thinking 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 Float Thinking 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.

浮存金思维

R — 原文 (Reading)

"Float is money we hold but don't own. In an insurance operation, float arises because premiums are received before losses are paid." (2000) "In effect, we got paid then for holding the huge sums." (2017, when underwriting profit existed)

I — 方法论骨架

浮存金 = 先收到但还不属于你的钱 = 低成本杠杆替代：

保险是经典模式：先收保费，后付赔款，中间的时间差产生的资金可投资
成本由"综合比率"决定：<100 = 承保盈利 = 浮存金成本为负（别人付钱让你用钱）
100-107 = 有成本但低于市场利率 = 仍然划算
107 = 成本太高 = 不划算

泛化：任何"先收钱后提供服务"的模式都有浮存金效应（SaaS年付、律师retainer、Amazon负营运资本）

A1 — 书中的应用

案例: 伯克希尔保险浮存金

问题: 如何为投资获取低成本资金？
使用: 通过GEICO等保险公司获取大规模浮存金（$1000亿+），承保盈利时成本为负
结果: 浮存金是伯克希尔成功的核心引擎之一

A2 — 触发场景

分析保险公司的投资优势
寻找低成本资金来源
评估"预付费"商业模式
理解为什么某些企业天生有资金优势

语言信号

"保险公司怎么赚钱？"
"有没有低成本融资方式？"
"预付费模式有什么财务优势？"
"如何用别人的钱投资？"

与相邻 skill 的区分

与 no-leverage 的区别：不用杠杆是针对"有风险的杠杆"，浮存金是"低风险/零成本的杠杆替代"

E — 可执行步骤

识别浮存金来源
- 完成标准：列出所有"先收钱后服务"的收入流
计算浮存金成本
- 完成标准：总服务成本 / 浮存金金额 = 成本百分比
与替代资金比较
- 完成标准：浮存金成本 vs 银行贷款/债券/股权融资成本

B — 边界

浮存金有"长尾风险"——巨灾可能导致大量索赔同时到来
非保险行业的浮存金通常规模较小
成本不可控——竞争可能导致综合比率恶化
作者盲点：伯克希尔的浮存金规模是独一无二的，普通投资者/企业无法复制

审计信息

验证通过: V1 ✓ / V2 ✓ / V3 ✓
蒸馏时间: 2026-04-16

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

Frequently asked questions

What does the Float Thinking AI skill do?

Why use Float Thinking on TypingMind?

Because you install it once and use it with any model. Float Thinking 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 Float Thinking in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kangarooking/buffett-letters-skill/tree/main/float-thinking. 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 Float Thinking?

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 Float Thinking?

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

Is the Float Thinking 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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Float Thinking

Overview