Hold Forever

Q: What does the Hold Forever AI skill do?

用户在考虑是否卖出持仓、评估持有期限，或纠结于"何时卖出"时。 语言信号:"什么时候该卖"/"持有多久合适"/"已经涨了要不要卖"/"什么时候止盈" 不适用于:短期交易决策或投机性持仓的卖出判断。

Community

kangarooking

hold-forever

用户在考虑是否卖出持仓、评估持有期限，或纠结于"何时卖出"时。语言信号:"什么时候该卖"/"持有多久合适"/"已经涨了要不要卖"/"什么时候止盈" 不适用于:短期交易决策或投机性持仓的卖出判断。

Overview

Publisher	kangarooking
Repository	`buffett-letters-skill`
Skill name	`hold-forever`
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 Hold Forever 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/hold-forever
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/hold-forever .claude/skills/hold-forever

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

Use it in TypingMind

Enable Hold Forever 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 Hold Forever 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 Hold Forever 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.

永久持有

R — 原文 (Reading)

"Our favorite holding period is forever." (1988) "We don't have an exit strategy — we buy to keep." (2002)

I — 方法论骨架

永久持有的逻辑：

卖出优秀企业 = 放弃复利引擎
Coca-Cola 28年：$13亿→$250亿 + 年股息$7亿——任何"高卖"策略都无法复制
前提条件：企业依然优秀 / 管理层依然值得信任 / 基本面没有恶化
"我们没有退出策略"——因为退出不是计划的一部分

A1 — 书中的应用

案例: Coca-Cola + American Express

使用: 1990年代各投$13亿，永久持有，从未卖出
结果: 28年后Coke=$250亿+年股息$7亿，Amex=$220亿+年股息$3亿。证明了"不卖"的力量远超"低买高卖"

案例: See's Candy

使用: 1972年以$2500万收购，持有50年
结果: 累计贡献利润$20亿+——如果早期"高卖"将损失巨大的复利

A2 — 触发场景

持仓已经涨了很多，纠结是否卖出
市场波动剧烈，想"先卖再买回来"
有人建议"锁定利润"
评估投资策略时考虑持有期限

语言信号

"已经涨了50%，该不该卖？"
"什么时候止盈？"
"要不要先卖再低买回来？"
"持有多久合适？"

与相邻 skill 的区分

与 compounding-thinking 的区别：复利是数学原理，永久持有是具体执行策略

E — 可执行步骤

做"卖出测试"
- 完成标准：如果今天没有持仓，你愿意以当前价格买入吗？如果愿意 → 不卖
检查持有前提
- 完成标准：企业依然优秀？管理层依然值得信任？基本面没有恶化？三个"是" → 不卖
计算"卖出成本"
- 完成标准：卖出后的税+交易成本+放弃的复利 vs 继续持有的预期回报——后者通常远大于前者

B — 边界

"永久持有"的前提是企业"依然优秀"——基本面恶化时应该卖出
不是所有股票都适合永久持有——只适用于真正优秀的企业
作者盲点：巴菲特有足够信息判断企业是否"依然优秀"——普通投资者可能缺乏这种洞察力

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 Hold Forever AI skill do?

Why use Hold Forever on TypingMind?

Because you install it once and use it with any model. Hold Forever 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 Hold Forever in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kangarooking/buffett-letters-skill/tree/main/hold-forever. 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 Hold Forever?

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 Hold Forever?

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

Is the Hold Forever 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.

View all

Faq Collector

CherryHQ

OrganizationPopular

将成功解决的用户问题收录到 FAQ 知识库。问题解决后自动判断是否收录。也可以在用户说"收录到 FAQ"、"记录这个问题"、"add to FAQ"时手动触发。

Issue Reporter

只在用户明确要求提交 GitHub Issue、GitHub Bug Report 或 GitHub Feature Request 时使用。用户只说“提交问题”“提交反馈”“上报 bug”“这是个 bug”或描述功能建议但未点名 GitHub 时不得触发，必须改用 cherry-studio-feedback 并默认提交飞书。

Skills Manager

搜索、安装和协调创建 Claude Code Agent Skills。当用户想要搜索技能、安装工具、创建自定义 Skill，或者说"find a skill"、"搜索技能"、"帮我做个 skill"、"create a skill"时触发。也适用于用户说"有没有做 X 的工具"、"我想扩展 Agent 能力"，或当前能力不足需要先查找可复用方案的场景。

Cli Anything 3mf

3MF mesh geometry editor — detect and resize cylindrical holes, repair meshes, compare 3D printing files. Works with BambuStudio and PrusaSlicer 3MF files.

Hold Forever

Overview