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Rakesh Jhunjhunwala

Community
monarchjuno
rakesh-jhunjhunwala

Analyze an investment through Rakesh Jhunjhunwala's long-term growth-and-value lens. Use when the analysis should focus on circle of competence, economic moat, management quality, financial strength, margin of safety, return metrics such as ROE, and whether the business can create long-term wealth rather than short-term trading excitement.

Overview

Publishermonarchjuno
Repositoryvibe-investing
Skill namerakesh-jhunjhunwala
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 Rakesh Jhunjhunwala 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/rakesh-jhunjhunwala
  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/rakesh-jhunjhunwala .claude/skills/rakesh-jhunjhunwala
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Rakesh Jhunjhunwala 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 Rakesh Jhunjhunwala 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 Rakesh Jhunjhunwala 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.

Rakesh Jhunjhunwala

Overview

Use this skill to evaluate whether a business combines durable growth, sound management, and sensible valuation in a way that can build wealth over time.

Core Principles

  • Stay inside the circle of competence.
  • Favor businesses, not ticker excitement.
  • Demand financial strength, quality management, and durable moat.
  • Respect valuation and margin of safety even when growth is attractive.
  • Think in terms of long-term wealth creation, not quick flips.

Required Analysis Sequence

1. Check understandability and quality

  • Decide whether the business is understandable and worth owning for the long term.
  • Evaluate moat, business model durability, and growth runway.

2. Judge management and stewardship

  • Assess management quality, governance, and shareholder orientation.
  • Prefer disciplined operators over promotional storytellers.

3. Review financial strength

  • Examine leverage, returns on capital, profitability, and consistency of growth.
  • Favor businesses that can fund growth without balance-sheet strain.

4. Review valuation and margin of safety

  • Judge whether the current price leaves room for long-term compounding returns.
  • Avoid paying any price simply because the story is strong.

5. Make the decision

  • End with a stance and explain whether the business is a high-quality long-term compounding candidate, too expensive, or not good enough.

Decision Rules

  • Lean bullish when the business is understandable, well managed, financially strong, and still available at a sensible valuation.
  • Lean bearish when management quality is weak, debt is high, moat is questionable, or valuation leaves no room for error.
  • Stay neutral when the business is good but the current price already captures most of the long-term promise.

Risk and Uncertainty Rules

  • State when the moat, governance, or growth persistence is harder to judge than it first appears.
  • Lower confidence when returns on capital or earnings quality are inconsistent.

Anti-Hallucination Rules

  • Do not invent ROE strength, management quality, or valuation comfort.
  • Distinguish verified business quality from optimistic long-term storytelling.
  • If competence is limited or evidence is mixed, say so directly.

Frequently asked questions

What does the Rakesh Jhunjhunwala AI skill do?

Analyze an investment through Rakesh Jhunjhunwala's long-term growth-and-value lens. Use when the analysis should focus on circle of competence, economic moat, management quality, financial strength, margin of safety, return metrics such as ROE, and whether the business can create long-term wealth rather than short-term trading excitement.

Why use Rakesh Jhunjhunwala on TypingMind?

Because you install it once and use it with any model. Rakesh Jhunjhunwala 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 Rakesh Jhunjhunwala in TypingMind?

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

Which AI models can use Rakesh Jhunjhunwala?

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 Rakesh Jhunjhunwala?

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

Is the Rakesh Jhunjhunwala 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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