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Real Conservatism

Community
kangarooking
real-conservatism

用户在做决策时受到群体压力或主流意见影响,需要区分"从众=安全"和"独立分析=真正保守"。 语言信号:"大家都说""分析师都推荐"/"这是行业惯例"/"为什么不随大流"/"保守一点是不是更安全" 不适用于:已经有独立分析支撑的决策(不需要纠偏时)。

Overview

Publisherkangarooking
Repositorybuffett-letters-skill
Skill namereal-conservatism
Stars
109
Forks
20
Bundled files
1
LicenseMIT
Links
  • 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 Real Conservatism AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/kangarooking/buffett-letters-skill/tree/main/real-conservatism
  4. 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.
2

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/real-conservatism .claude/skills/real-conservatism
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Real Conservatism 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 Real Conservatism 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 Real Conservatism 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.

保守≠传统 / 独立思考

R — 原文 (Reading)

"You will not be right simply because a large number of people momentarily agree with you. You will not be right simply because important people agree with you." (1961) "Neither a conventional nor an unconventional approach, per se, is conservative." (1965)

I — 方法论骨架

真正的保守 = 知识 + 理性,而非从众:

  • 常规做法不等于保守做法
  • 非常规做法也不等于不保守
  • 正确的标准:你的假设对不对?事实对不对?推理对不对?
  • "公开意见调查不能替代思考"——多数人同意不增加正确性
  • CEO误导公众最终会误导自己——诚实是保守的基础

A1 — 书中的应用

案例: 十年赌局

  • 使用: 巴菲特和Protégé在十年中只做了一次投资决定——什么都不做
  • 结果: 标普500回报125.8% vs 五只基金2.0%-8.7%——"什么都不做"赢了

A2 — 触发场景

  1. 多数人推荐某个投资但你不确定
  2. 你的分析与市场共识相反
  3. 有人用"行业惯例"来说服你
  4. 你在做"与众不同"的事并感到不安

语言信号

  • "大家都说..."
  • "分析师都推荐"
  • "为什么不跟着做?"
  • "保守一点不是更安全吗?"

E — 可执行步骤

  1. 分离"多数人"和"证据"

    • 完成标准:列出支持你判断的证据(独立于"谁也这么说")
  2. 检验你的假设/事实/推理

    • 完成标准:每一步都经受住"如果错了会怎样"的检验
  3. 接受孤独的正确

    • 完成标准:如果独立分析结论与群体相反,你是否愿意坚持?

B — 边界

  • 独立≠固执——如果你的分析被证伪,应该改变
  • 有时多数人确实是对的——不能因为"大家都做"就自动反着来
  • 作者盲点:巴菲特有足够的资本和声誉承受"孤独"——普通投资者承受压力的能力不同

相关 skills (阶段 3 填充)

  • contrasts-with: institutional-imperative
  • composes-with: circle-of-competence

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.

Frequently asked questions

What does the Real Conservatism AI skill do?

用户在做决策时受到群体压力或主流意见影响,需要区分"从众=安全"和"独立分析=真正保守"。 语言信号:"大家都说""分析师都推荐"/"这是行业惯例"/"为什么不随大流"/"保守一点是不是更安全" 不适用于:已经有独立分析支撑的决策(不需要纠偏时)。

Why use Real Conservatism on TypingMind?

Because you install it once and use it with any model. Real Conservatism 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 Real Conservatism in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kangarooking/buffett-letters-skill/tree/main/real-conservatism. 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 Real Conservatism?

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 Real Conservatism?

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

Is the Real Conservatism 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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