Investment analysis skills built with Claude Code — options flow scanner + price alerts (open source)

[tellmefrankie]

Hey Semantic Kernel community,

Microsoft's AI orchestration framework — sharing an open source project: Claude Code skills for investment analysis.

AI Investment Skills:

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

Semantic Kernel angle:
The investment skills architecture maps well to SK plugins:

• OptionsFlowPlugin.ScanETF() — fetches and filters options data
• PriceMonitorPlugin.CheckThresholds() — evaluates stop-loss conditions
• BriefingPlugin.GenerateMorningContext() — synthesizes signals

SK's planner could orchestrate these plugins to build a complete investment monitoring workflow.

Signal:
XLI P/C hit 5.32 (normal: 0.5–1.2). After filtering 98% lottery volume: "extremely bearish." Raw = "neutral."

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

Anyone here using Semantic Kernel to build financial analysis plugins?