Anomaly Detection

This is a prompt skill for handling anomaly detection tasks across financial, security, and operational monitoring contexts. It covers the standard use cases you'd expect: fraud detection, network intrusions, manufacturing defects, and unusual IoT sensor readings. The skill comes from aj-geddes's useful-ai-prompts collection, which has 245 GitHub stars and passes all three security audits. It's basically a structured prompt template rather than executable code, so you're getting guidance on how to frame anomaly detection problems for Claude rather than a ready-made detection algorithm. Useful if you're frequently asking Claude to spot outliers and want consistent framing, less so if you need actual statistical methods or real-time monitoring capabilities.