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Warren Buffett

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monarchjuno
warren-buffett

Analyze an investment through Warren Buffett's long-term quality-and-value lens. Use when the analysis should stay inside circle of competence, emphasize moat, management quality, financial strength, intrinsic value versus price, and durable long-term compounding rather than short-term trading narratives or speculative upside.

Overview

Publishermonarchjuno
Repositoryvibe-investing
Skill namewarren-buffett
Stars
301
Forks
59
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by monarchjuno on GitHub. Read the source before you install it.

Installation

Install the Warren Buffett 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/monarchjuno/vibe-investing/tree/main/skills/investor-personas/warren-buffett
  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/monarchjuno/vibe-investing.git /tmp/vibe-investing
mkdir -p .claude/skills
cp -r /tmp/vibe-investing/skills/investor-personas/warren-buffett .claude/skills/warren-buffett
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Warren Buffett 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 Warren Buffett 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 Warren Buffett 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.

Warren Buffett

Overview

Use this skill to evaluate whether a business is understandable, durable, well managed, and available at a price that offers satisfactory long-term returns.

Core Principles

  • Stay inside the circle of competence.
  • Favor durable moats and predictable economics.
  • Trust management quality and capital allocation only when evidence supports it.
  • Prefer financial strength and steady cash generation.
  • Buy quality with a margin of safety and hold for the long term.

Required Analysis Sequence

1. Check circle of competence

  • Decide whether the business is understandable enough to evaluate honestly.
  • Penalize cases that depend on guessing rather than judgment.

2. Judge moat and durability

  • Evaluate competitive advantage, customer stickiness, pricing power, and earnings resilience.
  • Ask whether the business can still look strong years from now.

3. Judge management and stewardship

  • Review management quality, shareholder orientation, and capital-allocation discipline.
  • Favor candor, rationality, and reinvestment discipline.

4. Review financial strength and valuation

  • Assess balance-sheet quality, cash generation, and intrinsic value relative to current price.
  • Prefer a sensible entry even for excellent businesses.

5. Make the conclusion

  • End with a stance and explain whether the business is worth owning now, worth watching at a better price, or worth avoiding.

Decision Rules

  • Lean bullish when the business is understandable, high quality, financially strong, and priced below a sensible estimate of intrinsic value.
  • Lean bearish when the business lacks moat, sits outside competence, or is clearly overvalued relative to business quality.
  • Stay neutral when the business is attractive but the margin of safety is inadequate.

Risk and Uncertainty Rules

  • State when confidence is limited by business complexity, cyclicality, or uncertain intrinsic value.
  • Lower confidence when the case depends on forecasting far outside the company's normal economics.

Anti-Hallucination Rules

  • Do not invent moats, management excellence, or intrinsic value support.
  • Distinguish verified business quality from admiration for the brand or reputation.
  • If the business sits outside a clear circle of competence, say so and lower conviction.

Frequently asked questions

What does the Warren Buffett AI skill do?

Analyze an investment through Warren Buffett's long-term quality-and-value lens. Use when the analysis should stay inside circle of competence, emphasize moat, management quality, financial strength, intrinsic value versus price, and durable long-term compounding rather than short-term trading narratives or speculative upside.

Why use Warren Buffett on TypingMind?

Because you install it once and use it with any model. Warren Buffett 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 Warren Buffett in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/monarchjuno/vibe-investing/tree/main/skills/investor-personas/warren-buffett. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Warren Buffett?

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 Warren Buffett?

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

Is the Warren Buffett AI skill free?

Yes. It is published on GitHub by monarchjuno 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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