No Leverage

Q: What does the No Leverage AI skill do?

用户考虑使用杠杆（保证金/贷款/融资）来放大投资回报，或评估财务安全性时。 语言信号:"要不要加杠杆"/"用保证金买""贷款投资划算吗"/"融资利率很低应该借钱投吗" 不适用于:不涉及杠杆/融资的纯经营决策。

Community

kangarooking

no-leverage

用户考虑使用杠杆（保证金/贷款/融资）来放大投资回报，或评估财务安全性时。语言信号:"要不要加杠杆"/"用保证金买""贷款投资划算吗"/"融资利率很低应该借钱投吗" 不适用于:不涉及杠杆/融资的纯经营决策。

Overview

Publisher	kangarooking
Repository	`buffett-letters-skill`
Skill name	`no-leverage`
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 No Leverage 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/no-leverage
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/no-leverage .claude/skills/no-leverage

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

Use it in TypingMind

Enable No Leverage 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 No Leverage 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 No Leverage 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.

不用杠杆 / 财务堡垒

R — 原文 (Reading)

"There is simply no telling how far stocks can fall in a short period." (2017) "A string of wonderful numbers times zero will always equal zero. Don't count on getting rich twice." — Munger (2022)

I — 方法论骨架

核心逻辑：任何正数乘以零 = 零。

杠杆在顺利时放大收益，但一次灾难足以永久出局
伯克希尔股价历史上有4次下跌37%-59%——如果用了杠杆任何一次都足以出局
因此：永远保持充足现金（$300亿+），永远不依赖陌生人的善意
"宁取颠簸的15%也不要平滑的12%"——但前提是15%的路径上不会归零

A1 — 书中的应用

案例: 伯克希尔四次大跌

使用: 1973-75(-59.1%), 1987(-37.1%), 1998-2000(-48.9%), 2008-09(-50.7%)
结果: 如果用了杠杆，任何一次都足以永久出局。这是"不用杠杆"最强有力的实证论据

A2 — 触发场景

考虑用保证金/贷款买股票
有人建议"低成本融资投资"
评估一家公司的财务安全性
决定是否应该保持现金储备

语言信号

"要不要加杠杆？"
"利率这么低，借钱投资划算吗？"
"用保证金买合算吗？"
"为什么保持这么多现金？"

与相邻 skill 的区分

与 margin-of-safety 的区别：安全边际是单个投资的保护，不用杠杆是整体财务策略

E — 可执行步骤

计算归零概率
- 完成标准：在杠杆X倍下，资产需要跌多少才会爆仓？这个跌幅历史上出现过几次？
检查能否承受最大回撤（不加杠杆）
- 完成标准：如果资产跌50%，你是否仍然不需要被迫卖出？
建立现金缓冲
- 完成标准：保持至少6个月生活费的现金，永远不用完

B — 边界

不用杠杆 ≠ 不借钱——巴菲特用保险浮存金（一种"杠杆"），但成本为负且不可被"挤兑"
极少数情况下杠杆可能是合理的（如套利，有确定性时间表）
作者盲点：巴菲特有保险浮存金这种独特杠杆——普通人可能永远无法获得低成本杠杆

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 No Leverage AI skill do?

Why use No Leverage on TypingMind?

Because you install it once and use it with any model. No Leverage 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 No Leverage in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kangarooking/buffett-letters-skill/tree/main/no-leverage. 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 No Leverage?

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 No Leverage?

As many as you like. As long as a model supports skills, you can use No Leverage with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the No Leverage 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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