What are Claude Code Skills?

Claude Code Skills are reusable prompt templates stored as markdown files in your project's .claude/skills/ directory. They let you codify best practices and common workflows into slash commands that Claude follows consistently.

How do I create a Claude Code Skill?

Create a markdown file in .claude/skills/ with instructions for Claude. The filename becomes the command name — for example, .claude/skills/code-review.md can be invoked with /code-review during a Claude Code session.

Can I share skills with my team?

Yes. Skills stored in .claude/skills/ can be committed to version control so every team member has access to the same standardized workflows. You can also organize skills into subdirectories by category.

What is the difference between project and global skills?

Project skills (.claude/skills/) are specific to the current project and are committed to git. Global skills (~/.claude/skills/) are personal skills available across all your projects.

market-sages

New

1Community RegistryGeneralby hyhmrright

Summon 13 legendary investors â Buffett, Munger, Graham, Burry, Taleb, and 8 more â to analyze any stock. Real-time data via web search. Responds in your language. No API keys. No setup.

Community PluginView Source

Overview

13 legendary investors. One command. Zero setup.

![License: MIT](https://opensource.org/licenses/MIT) ![Claude Code](https://claude.ai/code) ![Codex CLI](https://github.com/openai/codex) ![Gemini CLI](https://github.com/google-gemini/gemini-cli)

Market Sages summons a council of the world's greatest investors to analyze any stock — Warren Buffett, Charlie Munger, Benjamin Graham, Michael Burry, Nassim Taleb, and 8 more. No API keys. No Python environment. No financial data subscription. Just a ticker symbol.

✨ What It Does

You type:

code

/sages NVDA

You get a full council deliberation:

code

╔══════════════════════════════════╗
║  🧠 Warren Buffett               ║
║  Signal: NEUTRAL                 ║
║  Confidence: 55%                 ║
║  Reasoning: Exceptional moat     ║
║  (gaming ecosystem), but current ║
║  P/E leaves no margin of safety. ║
╚══════════════════════════════════╝

╔══════════════════════════════════╗
║  🧠 Michael Burry                ║
║  Signal: BEARISH                 ║
║  Confidence: 72%                 ║
║  Reasoning: FCF yield ~1.8%,     ║
║  EV/EBIT ~80x — no deep value    ║
║  here, this is momentum not math.║
╚══════════════════════════════════╝

... (11 more sages)

╔══════════════════════════════════════════════╗
║  🏦 PORTFOLIO MANAGER — FINAL VERDICT        ║
║  Action: WATCH                               ║
║  Conviction: MEDIUM                          ║
║  Entry Strategy: Wait for 20-25% pullback    ║
╚══════════════════════════════════════════════╝

🧑‍💼 The Council of 13 Sages

#	Sage	Philosophy	Style
1	Warren Buffett	Wonderful companies at fair prices	Patient, moat-focused
2	Charlie Munger	Invert always invert	Multi-disciplinary, blunt
3	Benjamin Graham	Margin of safety, Mr. Market	Quantitative, academic
4	Peter Lynch	Ten-baggers, invest in what you know	Enthusiastic, accessible
5	Michael Burry	Deep value contrarian	Data-obsessed, terse
6	Cathie Wood	Disruptive innovation	Evangelical, future-focused
7	Stanley Druckenmiller	Asymmetric macro opportunities	Confident, macro sweep
8	Bill Ackman	Activist, simple businesses	Direct, catalyst-driven
9	Phil Fisher	Scuttlebutt, quality forever	Meticulous, qualitative
10	Nassim Taleb	Antifragility, tail risk	Precise, uncompromising
11	Mohnish Pabrai	Dhandho, downside first	Humble, Buffett-inspired
12	Aswath Damodaran	Story + numbers, DCF	Professor-like, rigorous
13	Rakesh Jhunjhunwala	Be right, sit tight	Conviction, long-term

🚀 Quick Start

Claude Code (Recommended)

Via Plugin Marketplace (recommended):

bash

/plugin marketplace add hyhmrright/market-sages
/plugin install market-sages@market-sages-marketplace

One-liner install (no clone needed):

bash

curl -sL https://raw.githubusercontent.com/hyhmrright/market-sages/main/skill.md \
  -o ~/.claude/skills/market-sages.md

Manual install:

bash

git clone https://github.com/hyhmrright/market-sages.git
cp market-sages/skill.md ~/.claude/skills/market-sages.md

Verify: Open a Claude Code session and type /sages AAPL — you should see the council spin up.

Use:

code

/sages AAPL
/sages TSLA --value
/sages AMZN --growth
/sages MSFT --risk
/sages compare AAPL MSFT GOOG

→ Full Claude Code guide

OpenAI Codex CLI

Via Skill Installer (in a Codex session):

code

Install the market-sages skill from hyhmrright/market-sages

Command line:

bash

python3 ~/.codex/skills/.system/skill-installer/scripts/install-skill-from-github.py \
  --repo hyhmrright/market-sages --path skills --name market-sages

Manual (project-level AGENTS.md):

First time:

bash

curl -sL https://raw.githubusercontent.com/hyhmrright/market-sages/main/AGENTS.md \
  -o ./AGENTS.md

Already have an AGENTS.md? Append instead:

bash

curl -sL https://raw.githubusercontent.com/hyhmrright/market-sages/main/AGENTS.md \
  >> ./AGENTS.md

Use:

bash

codex "Analyze Apple using the Market Sages council"
codex "Use Michael Burry and Benjamin Graham to evaluate INTC"

→ Full Codex CLI guide

Google Gemini CLI

Via Extension (in a Gemini session):

code

/extensions install https://github.com/hyhmrright/market-sages

Manual (project-level GEMINI.md):

First time:

bash

curl -sL https://raw.githubusercontent.com/hyhmrright/market-sages/main/GEMINI.md \
  -o ./GEMINI.md

Already have a GEMINI.md? Append instead:

bash

curl -sL https://raw.githubusercontent.com/hyhmrright/market-sages/main/GEMINI.md \
  >> ./GEMINI.md

Use:

bash

gemini "Analyze Tesla using all 13 Market Sages"
gemini "Give me Nassim Taleb and Aswath Damodaran's take on NVDA"

→ Full Gemini CLI guide

Universal (Any LLM / Chat Interface)

Copy the contents of skill.md as your system prompt in any LLM interface — ChatGPT, Claude.ai, Gemini, Perplexity, or any custom app. Then start chatting.

🎯 Command Reference

Command	Description
`/sages AAPL`	Full council (all 13 sages)
`/sages TSLA --value`	Value sages only (Buffett, Munger, Graham, Pabrai, Burry)
`/sages NVDA --growth`	Growth sages only (Lynch, Wood, Druckenmiller, Fisher)
`/sages AMZN --risk`	Risk sages only (Taleb, Damodaran + Risk Manager)
`/sages compare AAPL MSFT`	Side-by-side comparison
`/sages GOOG @buffett @munger`	Specific sages by name

💡 Power Tips

1. Paste your own data for sharper analysis

code

/sages AAPL

Revenue: $391B (+2% YoY)
Net Income: $94B
FCF: $107B
P/E: 28x, EV/EBITDA: 22x
Debt: $104B, Cash: $65B
Recent news: Vision Pro sales disappointing...

The sages will use your data instead of potentially stale training knowledge.

2. Ask follow-up questions

code

What would make Buffett upgrade to bullish on AAPL?
What's Taleb's worst-case scenario for NVDA?
How does Burry's AAPL thesis compare to his typical deep-value plays?

3. Sector sweeps

code

/sages compare AAPL MSFT GOOG META AMZN  (Big Tech council)
/sages compare JPM BAC GS                (Banking council)

4. Portfolio review

code

Review my portfolio: 40% AAPL, 30% NVDA, 20% TSLA, 10% BTC
Which sages would be most concerned?

❓ FAQ & Troubleshooting

Q: `/sages` command not found after installation

bash

# Re-copy and verify the file is in the right place
cp skill.md ~/.claude/skills/market-sages.md
ls ~/.claude/skills/market-sages.md

Then restart Claude Code and try again.

Q: The sages are using outdated data Paste current financial data directly in your message — the sages will prioritize it over training knowledge:

code

/sages NVDA
Revenue $60.9B, P/E 55x, Gross Margin 74.6%...

Q: Can I use only a subset of sages? Yes — use @ to name them:

code

/sages AAPL @buffett @graham @burry

Q: The analysis is in the wrong language The skill auto-detects your input language. Write your prompt in the language you want the response in.

Q: How do I run the tests?

bash

# Structure validation (no API key needed)
uv run tests/validate_structure.py --verbose

# Prompt evaluation (requires ANTHROPIC_API_KEY)
export ANTHROPIC_API_KEY=sk-...
uv run tests/run_evals.py

🗂️ Project Structure

code

market-sages/
├── skill.md              # Core skill — the 13 sages' frameworks
├── AGENTS.md             # Codex CLI integration
├── GEMINI.md             # Gemini CLI integration
├── README.md             # This file
├── docs/
│   ├── usage/
│   │   ├── claude-code.md
│   │   ├── codex-cli.md
│   │   └── gemini-cli.md
│   └── i18n/
│       ├── README.zh-CN.md
│       ├── README.ja.md
│       └── README.ko.md
└── examples/
    ├── nvidia-analysis.md
    └── apple-analysis.md

🤝 Contributing

We welcome new sages, prompt improvements, and CLI integrations!

•Add a new sage: Open an issue with new-analyst label. Include: philosopher/investor, their core framework, signal rules, and voice style.
•Improve a prompt: Open a PR with prompt-improvement label. Show before/after examples.
•Add CLI support: Open an issue with cli-support label.
•Translate docs: Open a PR with i18n label.

See CONTRIBUTING.md for full guidelines.

⚠️ Disclaimer

Market Sages is for educational and entertainment purposes only.

•Not financial advice
•AI-generated analysis may be inaccurate or based on stale training data
•Always verify with current, authoritative financial data
•Past performance of these investors does not guarantee similar AI output quality
•Consult a qualified financial advisor before making investment decisions

📄 License

MIT — use it, fork it, build on it. Attribution appreciated.

⭐ Star History

If Market Sages helped you think more clearly about an investment, please star the repo. It helps others find it.

Inspired by [ai-hedge-fund](https://github.com/virattt/ai-hedge-fund) by @virattt — the original multi-agent hedge fund that sparked this idea.

Install & Usage

Create the skills directory

mkdir -p .claude/skills

Download the skill file

mkdir -p .claude/skills && curl -o .claude/skills/market-sages.md https://raw.githubusercontent.com/hyhmrright/market-sages/main/SKILL.md

Invoke in Claude Code

/market-sages

View source on GitHub

api

Frequently Asked Questions

What is market-sages?

Summon 13 legendary investors â Buffett, Munger, Graham, Burry, Taleb, and 8 more â to analyze any stock. Real-time data via web search. Responds in your language. No API keys. No setup.

How to install market-sages?

To install market-sages, create the .claude/skills directory in your project, then run the curl command to download the skill file. Once installed, invoke it in Claude Code with /market-sages.

What is market-sages best for?

market-sages is a community categorized under General. It is designed for: api. Created by hyhmrright.