I created agent skill based on Peter Lynch's books
For the last few months I have been analysing Peter Lynch’s books on stock picking and doing prompt engineering to check if AI could create useful stock analyses. To my surprise it started making reports that allow me to understand companies much faster with well cited sources. I hope you find it interesting and useful :) Perter Lynch’s books I analyzed: Learn to earn, One up on Wall Street, Beating the street
I created agent skill based on Peter Lynch's books launched on June 23, 2026 with 5 votes, #2,466 of 22,647 launches that month and more than 75% of that year's launches.
What it does
For the last few months I have been analysing Peter Lynch’s books on stock picking and doing prompt engineering to check if the AI could create useful stock analyses. To my surprise it started making reports that allow me to understand companies much faster with well cited sources. I hope you find it interesting and useful :) Perter Lynch’s books I analyzed: Learn to earn, One up on Wall Street, Beating the street
An agent skill for Peter Lynch-style stock analysis, inspired by Learn to Earn, One Up on Wall Street, and Beating the Street. - DjNero11/peter-lynch-skill
An Agent Skills open-standard skill for Peter Lynch-style public company research. Give it a ticker or company name, choose a quick screen or a deep dive, and it guides a compatible AI agent through current web research, source verification, and a cited markdown report. This repository is a skill package, not a web application. It has no Django server, database, frontend build, bundled data fetcher or project-specific API keys. The skill relies on the host agent's web search and page-fetch tools. Peter Lynch ran the Fidelity Magellan Fund from 1977 to 1990, delivering an average annual return of 29.2%, beating the S&P 500 index — making it one of the best-performing mutual funds in history.…from github.com
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