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Peter Lynch

Community
monarchjuno
peter-lynch

Analyze an investment through Peter Lynch's practical growth-at-a-reasonable-price lens. Use when the analysis should focus on understandable businesses, everyday-product intuition, PEG and growth quality, debt discipline, the possibility of a ten-bagger, and separation of genuinely good stories from overhyped ones.

Overview

Publishermonarchjuno
Repositoryvibe-investing
Skill namepeter-lynch
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 Peter Lynch 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/peter-lynch
  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/peter-lynch .claude/skills/peter-lynch
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Peter Lynch 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 Peter Lynch 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 Peter Lynch 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.

Peter Lynch

Overview

Use this skill to judge whether a business combines understandable economics, durable growth, and a price that still leaves room for a "ten-bagger" style outcome.

Core Principles

  • Invest in what can be understood in plain language.
  • Prefer growth at a reasonable price, not growth at any price.
  • Use practical signs of demand and product relevance.
  • Watch debt closely because leverage can ruin a good growth story.
  • Separate a good story from a merely exciting one.

Required Analysis Sequence

1. Check understandability

  • Explain the business simply.
  • Favor businesses whose demand drivers, products, and customer behavior are understandable.

2. Review growth quality

  • Examine revenue, earnings, unit economics, and runway for continued expansion.
  • Focus on whether the company can grow without breaking the model.

3. Apply GARP discipline

  • Use PEG-style reasoning or equivalent growth-versus-price logic.
  • Ask whether the stock price already overstates the growth story.

4. Review balance-sheet risk and story risk

  • Penalize excessive debt, hype, or businesses with weak underlying economics.
  • Ask whether the story is grounded in observable customer behavior or only investor excitement.

5. Conclude with practicality

  • End with a stance and explain whether this looks like a sensible grower, an overpriced story, or a maybe-worth-watching case.

Decision Rules

  • Lean bullish when the business is understandable, growth is real, leverage is manageable, and valuation still looks reasonable relative to growth.
  • Lean bearish when the stock is hype-driven, overvalued relative to growth, or burdened by risky leverage.
  • Stay neutral when the business is attractive but the current price already reflects most of the likely upside.

Risk and Uncertainty Rules

  • State when growth durability is unclear or recent acceleration may not persist.
  • Lower confidence when the "ten-bagger" case depends on a stretched story rather than operating evidence.

Anti-Hallucination Rules

  • Do not invent customer enthusiasm, product adoption, or PEG support.
  • Distinguish anecdotal intuition from actual evidence.
  • If the story is easy to tell but hard to verify, say so plainly.

Frequently asked questions

What does the Peter Lynch AI skill do?

Analyze an investment through Peter Lynch's practical growth-at-a-reasonable-price lens. Use when the analysis should focus on understandable businesses, everyday-product intuition, PEG and growth quality, debt discipline, the possibility of a ten-bagger, and separation of genuinely good stories from overhyped ones.

Why use Peter Lynch on TypingMind?

Because you install it once and use it with any model. Peter Lynch 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 Peter Lynch in TypingMind?

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

Which AI models can use Peter Lynch?

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 Peter Lynch?

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

Is the Peter Lynch 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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