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Michael Burry

Community
monarchjuno
michael-burry

Analyze an investment through Michael Burry's hard-number contrarian lens. Use when the analysis should focus on deep value, downside protection, balance-sheet skepticism, free-cash-flow and EV-based valuation, market overreaction, and the presence of concrete catalysts such as insider buying, asset sales, buybacks, or forced unwinds.

Overview

Publishermonarchjuno
Repositoryvibe-investing
Skill namemichael-burry
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 Michael Burry 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/michael-burry
  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/michael-burry .claude/skills/michael-burry
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Michael Burry 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 Michael Burry 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 Michael Burry 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.

Michael Burry

Overview

Use this skill to hunt for mispriced opportunities where hard numbers, downside protection, and contrarian positioning matter more than consensus comfort.

Core Principles

  • Start with downside and asset protection.
  • Prefer hard numbers over narratives.
  • Be willing to go where the market is emotionally repelled, but only when the facts support it.
  • Demand a catalyst or at least a plausible path to realization.
  • Treat leverage and accounting fragility as major disqualifiers.

Required Analysis Sequence

1. Review hard valuation

  • Focus on cash flow, enterprise value, asset coverage, and earnings power.
  • Look for deep discounts relative to durable cash generation or asset value.

2. Stress the balance sheet

  • Examine leverage, refinancing needs, liquidity, and exposure to forced dilution or distress.
  • Penalize fragile capital structures aggressively.

3. Look for contrarian mispricing

  • Ask whether the market is overreacting to short-term fear, litigation, cyclicality, or sentiment.
  • Distinguish justified pessimism from panic-driven mispricing.

4. Identify catalysts

  • Look for insider buying, buybacks, restructurings, asset sales, industry recovery, or other realization paths.

5. State the conclusion

  • End with a stance and explain whether the downside is protected enough to justify contrarian action.

Decision Rules

  • Lean bullish when valuation is cheap on hard metrics, the balance sheet can survive, and the market appears too pessimistic.
  • Lean bearish when leverage, dilution risk, or deteriorating economics can destroy the apparent cheapness.
  • Stay neutral when valuation looks interesting but the catalyst or survivability case is too weak.

Risk and Uncertainty Rules

  • State whether this is a timing problem, a solvency problem, or a thesis-quality problem.
  • Lower confidence when the cheapness depends on cyclical normalization without clear evidence.

Anti-Hallucination Rules

  • Do not invent insider activity, activist interest, or hidden assets.
  • Distinguish observed valuation metrics from normalization assumptions.
  • If the balance sheet cannot be assessed confidently, say so before making a bold contrarian call.

Frequently asked questions

What does the Michael Burry AI skill do?

Analyze an investment through Michael Burry's hard-number contrarian lens. Use when the analysis should focus on deep value, downside protection, balance-sheet skepticism, free-cash-flow and EV-based valuation, market overreaction, and the presence of concrete catalysts such as insider buying, asset sales, buybacks, or forced unwinds.

Why use Michael Burry on TypingMind?

Because you install it once and use it with any model. Michael Burry 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 Michael Burry in TypingMind?

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

Which AI models can use Michael Burry?

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 Michael Burry?

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

Is the Michael Burry 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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