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.
- GitHub stars
- 317
- last updated
- Aug 21, 2026
Install
$ npx -y skills add aj-geddes/useful-ai-prompts --skill 'Anomaly Detection' --agent claude-codeInstalls into .claude/skills of the current project.
Files
Anomaly Detection
Overview
Anomaly detection identifies unusual patterns, outliers, and anomalies in data that deviate significantly from normal behavior, enabling fraud detection and system monitoring.
When to Use
- Detecting fraudulent transactions or suspicious activity in financial data
- Identifying system failures, network intrusions, or security breaches
- Monitoring manufacturing quality and identifying defective products
- Finding unusual patterns in healthcare data or patient vital signs
- Detecting abnormal sensor readings in IoT or industrial systems
- Identifying outliers in customer behavior for targeted intervention
Detection Methods
- Statistical: Z-score, IQR, modified Z-score
- Distance-based: K-nearest neighbors, Local Outlier Factor
- Isolation: Isolation Forest
- Density-based: DBSCAN
- Deep Learning: Autoencoders, GANs
Anomaly Types
- Point Anomalies: Single unusual records
- Contextual: Unusual in specific context
- Collective: Unusual patterns in sequences
- Novel Classes: Completely new patterns
Implementation with Python
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- Repository
- github.com/aj-geddes/useful-ai-prompts
- Categories
- DevOps & CI/CD, Code Review & Quality, AI & Agent Building
- First seen
- Jun 3, 2026
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