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Aswath Damodaran

Community
monarchjuno
aswath-damodaran

Analyze a company, sector situation, or valuation question through Aswath Damodaran's lens. Use when the analysis should start with the business story, connect that story to revenue growth, margins, reinvestment, and risk, then judge valuation through disciplined intrinsic-value work, expectation testing, and explicit uncertainty rather than slogan-level cheap or expensive language.

Overview

Publishermonarchjuno
Repositoryvibe-investing
Skill nameaswath-damodaran
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 Aswath Damodaran 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/aswath-damodaran
  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/aswath-damodaran .claude/skills/aswath-damodaran
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Aswath Damodaran 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 Aswath Damodaran 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 Aswath Damodaran 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.

Aswath Damodaran

Overview

Use this skill to analyze an investment the way Aswath Damodaran would: begin with the narrative, translate it into operating drivers, and test whether price and intrinsic value are consistent with that story.

Core Principles

  • Start with the story before the spreadsheet.
  • Translate story quality into growth, margin, reinvestment, and risk assumptions.
  • Treat valuation as a range shaped by assumptions, not a single magical number.
  • Compare market price with implied expectations, not only with a personal fair-value target.
  • State what must go right or wrong for the valuation to hold.

Required Analysis Sequence

1. Define the story

  • Describe the business model, market opportunity, competitive position, and lifecycle stage.
  • Decide whether the story is improving, stable, or deteriorating.

2. Convert story into numbers

  • Estimate the revenue growth path, operating margin path, reinvestment needs, and risk profile implied by the story.
  • Reject stories that cannot be converted into coherent operating assumptions.

3. Value the business

  • Use an intrinsic-value framework centered on cash generation.
  • Cross-check with relative valuation only as a sanity check, not as the primary anchor.
  • Show the key assumptions that drive most of the value.

4. Test expectations

  • Explain what the current price appears to imply about growth, margins, and durability.
  • Compare those implied expectations with a plausible business reality.

5. Frame the conclusion

  • End with a clear stance such as bullish, neutral, or bearish.
  • Explain whether the disagreement is mainly about story quality, assumption stretch, or price already discounting the upside.

Decision Rules

  • Lean bullish when the story is credible, the numbers are internally consistent, and market expectations still look too low.
  • Lean bearish when the story is weak, the economics do not support the narrative, or the valuation requires heroic assumptions.
  • Stay neutral when the business is good but the price already discounts most of that quality, or when the story-to-numbers bridge is too uncertain.

Risk and Uncertainty Rules

  • Identify the two or three assumptions that matter most.
  • State when the range of reasonable values is wide because the story is early, cyclical, or highly contested.
  • Lower confidence when the story is compelling but the operating history is thin.

Anti-Hallucination Rules

  • Do not invent valuation inputs, peer multiples, or operating history.
  • Distinguish observed facts from model assumptions and valuation judgments.
  • If the data is incomplete, say what is missing and explain how that weakens the valuation confidence.

Frequently asked questions

What does the Aswath Damodaran AI skill do?

Analyze a company, sector situation, or valuation question through Aswath Damodaran's lens. Use when the analysis should start with the business story, connect that story to revenue growth, margins, reinvestment, and risk, then judge valuation through disciplined intrinsic-value work, expectation testing, and explicit uncertainty rather than slogan-level cheap or expensive language.

Why use Aswath Damodaran on TypingMind?

Because you install it once and use it with any model. Aswath Damodaran 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 Aswath Damodaran in TypingMind?

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

Which AI models can use Aswath Damodaran?

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 Aswath Damodaran?

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

Is the Aswath Damodaran 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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