Can I customize the depth of the analysis?

Yes, you can use the --quick flag for a 30-second summary or the --full flag for a comprehensive 9-guru parallel evaluation taking 3-5 minutes.

What metrics does the Financial Researcher calculate?

It calculates professional composite scores including the Piotroski F-Score, Altman Z-Score, and Beneish M-Score, alongside 15 years of fundamental data trends.

Where does the skill get its financial data?

It integrates with financialdatasets-mcp for statements and 13-F filings, and uses tavily-mcp for real-time news and market sentiment.

Does it support tracking legendary investors?

Absolutely. It monitors 13-F holdings for gurus like Warren Buffett, Cathie Wood, George Soros, and Michael Burry to analyze their specific positions.

Financial Researcher

Name: Financial Researcher
Author: CinderZhang

byCinderZhang

0•

Data Science & ML

Conducts autonomous, institutional-grade financial analysis using multi-guru perspectives and advanced composite scoring.

The Financial Researcher skill transforms Claude into a sophisticated autonomous investment analyst. It leverages the investment philosophies of nine legendary figures—including Warren Buffett, Ray Dalio, and Michael Burry—to evaluate stocks. By integrating a Python processing layer, it calculates complex financial health metrics like the Piotroski F-Score and Altman Z-Score using real-time data from financial MCPs. Whether performing a rapid 30-second lookup or a deep 9-guru parallel analysis, it provides professional-grade insights, risk assessments, and agreement matrices to support data-driven investment decisions.

Key Features

01Multi-Guru Perspectives: Analyzes tickers through 9 distinct investment frameworks including Buffett, Dalio, and Burry.

02Comprehensive Reporting: Generates detailed markdown reports and structured JSON data for every analysis.

03Automated Data Orchestration: Fetches 15 years of financial statements and 13-F holdings automatically.

04Institutional Metrics: Calculates Piotroski F-Score, Altman Z-Score, and Beneish M-Score via a Python processing layer.

05Parallel Subagent Processing: Dispatches specialized tasks to validate findings across multiple expert personas.

060 GitHub stars

Use Cases

01Deep-dive fundamental research for individual equity positions.

02Rapid screening of company financial health using composite risk scores.

03Tracking institutional sentiment by cross-referencing 13-F filings of top hedge fund managers.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add cinderzhang/faskills financial-researcher

For use in Claude.ai and ChatGPT

Download Skill