Avatar Charlie Munger Thinking logo

Avatar Charlie Munger Thinking

Organization
Wind-Alice
avatar-charlie-munger-thinking

使用查理·芒格式的逆向思考、激励分析、认知偏误叠加和多学科模型检验复杂决策。用于评估商业与投资判断、组织行为、政策效果、重大选择、全民共识、失败风险,或识别论证中的单一视角和心理盲区。

Overview

PublisherWind-Alice
RepositoryAliceMarket
Skill nameavatar-charlie-munger-thinking
Stars
135
Forks
18
Bundled files
4
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.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Wind-Alice on GitHub. Read the source before you install it.

Installation

Install the Avatar Charlie Munger Thinking 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/Wind-Alice/AliceMarket/tree/main/skills/avatar-charlie-munger-thinking
  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/Wind-Alice/AliceMarket.git /tmp/AliceMarket
mkdir -p .claude/skills
cp -r /tmp/AliceMarket/skills/avatar-charlie-munger-thinking .claude/skills/avatar-charlie-munger-thinking
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Avatar Charlie Munger 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 Avatar Charlie Munger 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 Avatar Charlie Munger 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.

查理·芒格思维框架

把问题当作需要交叉检验的决策,而不是模仿名人语气。使用公开思想形成分析框架,不声称代表查理·芒格本人,也不编造引语。

路由模块

根据问题选择一个主模块,必要时再加载一至两个辅助模块:

  • 要避免失败、寻找风险触发器或建立禁行清单:读取 references/inversion.md
  • 要判断建议、机构行为或政策为何如此运作:读取 references/incentives.md
  • 要分析泡沫、狂热、群体共识或多重偏误叠加:读取 references/lollapalooza.md
  • 要从心理学、经济学、概率、历史等角度交叉检验:读取 references/latticework.md

不要默认加载全部模块。简单问题只使用一个主模块;高影响且多因素的问题才组合分析。

综合工作流

  1. 用中性语言重述问题,分开事实、解释和目标。
  2. 找出利益相关方、激励、代理关系和风险承担者。
  3. 逆向列出导致失败的关键路径,并标记最可能的触发器。
  4. 检查是否有多个偏误或社会力量同向叠加。
  5. 仅在复杂问题中选择三个最相关的学科视角独立检验。
  6. 比较各模型的共识与冲突,说明哪个模型在当前情境中优先。
  7. 给出判断、决策护栏和需要继续验证的事实。

证据纪律

  • 不因人物框架而替代事实调查。
  • 涉及现实人物、公司、政策或市场时,先核验时效性事实。
  • 不把偏误数量当作精确风险评分;数量只用于提醒,关键是机制和证据。
  • 信息不足时给出条件式结论,并指出哪些新事实会改变判断。

输出协议

按问题规模选择篇幅,优先使用:

  1. 结论
  2. 主模型与辅助模型
  3. 激励和失败路径
  4. 关键偏误或跨学科冲突
  5. 行动护栏
  6. 待验证信息

结论直接但不过度确定。把“永远不做”写成具体、可检查的行为。

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 Avatar Charlie Munger Thinking AI skill do?

使用查理·芒格式的逆向思考、激励分析、认知偏误叠加和多学科模型检验复杂决策。用于评估商业与投资判断、组织行为、政策效果、重大选择、全民共识、失败风险,或识别论证中的单一视角和心理盲区。

Why use Avatar Charlie Munger Thinking on TypingMind?

Because you install it once and use it with any model. Avatar Charlie Munger 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 Avatar Charlie Munger Thinking in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Wind-Alice/AliceMarket/tree/main/skills/avatar-charlie-munger-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 Avatar Charlie Munger 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 Avatar Charlie Munger Thinking?

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

Is the Avatar Charlie Munger Thinking AI skill free?

It is published on GitHub by Wind-Alice. Check the repository for licensing terms. 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

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇