Algo-Trading-Skills

Algo-Trading-Skills is an open-source library providing 501 structured algorithmic trading skills tailored for AI coding agents. Designed in compliance with the agentskills.io open standard, this library encompasses a breadth of 16 engineering domains, covering diverse aspects of algorithmic trading including broker APIs, backtesting, execution, risk management, and regulatory compliance across various jurisdictions. Each skill is accompanied by a complete Python reference implementation, supported by an extensive suite of 20,291 unit tests, ensuring reliability and correctness in production settings.

Key Features:

• 501 Algorithmic Trading Skills: Spanning domains such as risk management, execution algorithms, and multi-asset derivatives.
• Verified Implementations: All skills include working Python code that validates its inputs, ensuring practical applicability.
• Regulatory Compliance: Skills map directly to critical industry standards like SEC, EU MiFID II, UK FCA, and others, providing guidance on regulatory mandates.
• Detailed Documentation: Every skill includes clearly defined triggers, prerequisites, steps for execution, and common pitfalls.
• Cross-Compatibility: Works seamlessly with popular AI platforms such as Claude Code, GitHub Copilot, and OpenAI Codex, enabling easy integration into various environments.

Example Usage:

To leverage the library in trading system development, an agent can utilize skills to ensure operational safety and efficiency in order placements. For instance:

# Load specific skills for order management
/plugin install algo-trading-broker-integration
/plugin install algo-trading-risk-management

Each skill is structured to prevent common pitfalls and enhance trading infrastructure reliability:

# Example skill - Order Placement Idempotency
# Ensures no double-executions on retries or reconnects
def place_order(order):
    # Implementation follows the workflow guidance for order safety
    pass

Comprehensive Coverage Across Domains:

The library contains skills categorized under various domains including:

• Broker Integration
• Real-time Architecture
• Risk Management
• Regulatory Compliance
• Market Microstructure

For those developing trading systems or supporting quantitative finance initiatives, Algo-Trading-Skills addresses the gap between basic coding capabilities and operational excellence by embedding essential knowledge that replicates senior quant engineering practices. It helps ensure that AI agents can make informed decisions in live trading environments, ultimately enhancing trading infrastructure and strategy deployment.

For more details and links to the individual skills, visit the documentation that thoroughly explains each skill's functionality and implementation guidelines.