Show HN: I created agent skill based on Peter Lynch's books
A developer created an AI agent skill based on Peter Lynch's stock-picking books, including "One Up on Wall Street" and "Beating the Street." The system generates stock analysis reports with cited sources, helping users understand companies more efficiently. The project was shared on Hacker News as a Show HN.
Background
Peter Lynch is a legendary American investor who managed the Fidelity Magellan Fund from 1977 to 1990 and achieved annual returns of 29%—more than double the S&P 500. He wrote several bestselling books on stock investing for ordinary people, especially *One Up on Wall Street* and *Beating the Street*. His core philosophy: invest in what you know ("buy what you understand") and look for "tenbaggers" (stocks that return 10x your money). He popularized categories like "slow growers," "stalwarts," "cyclicals," and "asset plays."
This project is an "agent skill"—a modular piece of software that can be plugged into an AI assistant (like ChatGPT or a code agent) to automate a specific task. Here, the skill takes a company ticker and produces a Peter Lynch–style stock analysis report. The author trained it by analyzing Lynch's three books and engineering prompts to replicate his reasoning process. The result is an AI tool that generates cited, structured stock reports aimed at helping retail investors understand companies faster, modeled on Lynch's approach.