Show HN: Algo-Trading-Skills - 501 agent skills for trading infrastructure (github.com)

A new community-driven project, Algo-Trading-Skills, has launched to enhance the capabilities of AI agents in algorithmic trading by providing them with a structured set of 501 trading skills. This library covers 16 engineering domains and aligns with five key regulatory and exchange frameworks, offering a wealth of knowledge that goes beyond simple coding syntax. Each skill includes real-world engineering practices, ensuring that AI agents can handle the nuanced failure modes that often lead to catastrophic performance issues in live trading environments, such as unexpected broker changes or flawed backtesting methodologies. This initiative is significant for the AI/ML community because it empowers AI agents to autonomously create and manage nuanced trading systems by integrating expert-level infrastructure guidance. Using the agentskills.io standard, the library not only facilitates the coding process but also emphasizes operational safety and compliance by mapping directly to regulatory mandates. With comprehensive testing frameworks, each implementation is rigorously verified, enabling developers to trust the functionality of the skills. By filling the knowledge gap between generic AI coding capabilities and the intricacies of real-world trading, Algo-Trading-Skills aims to elevate the reliability and effectiveness of algorithmic trading systems.