Open source Claude Code skills for options flow analysis — complements FinRL signal generation

[tellmefrankie]

Hey FinRL community,

Reinforcement learning for finance — sharing an open source project that could provide signal data for RL strategies.

AI Investment Skills — Claude Code skills for market analysis:

• Options flow scanner — sector ETF P/C anomaly detection with volume quality filter
• Price monitor — stop-loss/take-profit with Telegram alerts
• Daily AI briefing

FinRL integration angle:
The filtered P/C signals this scanner generates could be features for RL agent training. When XLI P/C hits 5.32 (normal: 0.5–1.2) after filtering out lottery ticket volume (98% of CEG calls), that's a meaningful state variable for an RL agent managing an industrial sector position.

Open source:
→ https://github.com/tellmefrankie/ai-investment-skills

The signal that validated the approach: filtered P/C = "extremely bearish" vs. raw P/C = "neutral." Anyone here using options flow as state features in FinRL environments?