工具

Part 3: From Theory to Practice - The Toolkit In Part 1 we defined the cognitive architecture, and in Part 2 we outlined the lightweight and DeFi layers. This final part reveals the source code structure, template library, and operational guide for the Personal AI Arbitrage Toolkit. Repository Structure ai-arbitrage-toolkit/ ├── README.md # Project entry & quick start ├── n8n_templates/ # Visual workflow templates │ ├── gov_monitor.json # County gov policy monitoring │ ├── sentiment_scanner.json # Reddit/Twitter sentiment collection │ └── arbitrage_scanner.json # Funding rate / cross-exchange arbitrage ├── agent_prompts/ # Standardized Agent Prompt library │ ├── analyst_prompt.md # Analyst Agent: signal extraction │ ├── executor_prompt.md # Executor Agent: on-chain operations │ ├── risk_manager_prompt.md # Risk Manager: circuit breaker │ └── coordinator_prompt.md # Coordinator Agent: multi-agent collaboration ├── monitoring_dashboard/ # Personal ops dashboard │ ├── daily_summary.py # Daily auto summary script │ └── weekly_report.py # Weekly report generator ├── risk_parameters.json # Configurable risk parameters └── README_DEPLOY.md # Deployment guide