Algo-Trading-Skills Gives AI Coding Agents 501 Trading Workflows

Summary

Algo-Trading-Skills is an open-source library that gives AI coding agents structured guidance for building algorithmic-trading infrastructure. It contains 501 skills across 16 engineering domains, covering broker integration, real-time systems, backtesting, financial machine learning, risk management, execution, compliance, derivatives, custody, data management, and related areas. Each skill follows the agentskills.io format and includes a working Python reference implementation, its own tests, scope boundaries, workflow guidance, and verification instructions. The repository reports 501 implementations backed by 20,291 unit tests, with continuous integration on Python 3.10, 3.12, and 3.13; an official reference validator runs on Python 3.11 or newer. Its validation tools check frontmatter, required sections, cross-references, documented test commands, plugin coverage, and generated-file consistency. The project maps skills to standards and frameworks including SEC and FINRA rules, EU MiFID II, UK FCA requirements, ASIC, SEBI, MAS, IIROC, and ISDA-related practices. It supports Claude Code, GitHub Copilot, OpenAI Codex CLI, Cursor, Gemini CLI, and other agentskills.io-compatible tools. Because the full library contains roughly 3.5 million tokens of Markdown, agents discover skills through a compact index and load only the relevant skill and references. The maintainers describe it as an independent community project and engineering guidance, not financial, legal, or compliance advice; live deployment still requires appropriate controls and professional review.