What problem does it solve?
Manually compiling daily trading diagnostics requires pulling data from multiple sources including live account positions, historical snapshots, pool status, and market data, then formatting it into a readable report. This skill eliminates that tedious manual work by automatically aggregating all required data into a single self-contained HTML file that works offline.
Core Features & Use Cases
- Automated Report Generation: Compiles all core trading metrics into a single self-contained HTML file with inline CSS, so it renders offline and in GitHub HTML previews without external assets.
- Comprehensive Metric Coverage: Includes account equity, open positions, day/week P/L, 30-day per-strategy effectiveness, full pool status, SPY/VIX market context, and cron schedule status.
- Use Case: For ClaudeTrading paper traders, run this skill to get a full daily diagnostic of your trading system's performance without manually pulling data from Alpaca, local snapshots, and configuration files.
Quick Start
Use the reporting skill to generate the latest daily trading diagnostic HTML report.