From jeremylongshore-claude-code-plugins-plus-skills
Provides step-by-step guidance and generates code for anomaly detection in data analytics, including SQL queries, data visualization, statistical analysis, and business intelligence.
npx claudepluginhub jeremylongshore/claude-code-plugins-plus-skills --plugin langchain-py-packThis skill is limited to using the following tools:
This skill provides automated assistance for anomaly detector tasks within the Data Analytics domain.
Detects anomalies and outliers in datasets using ML like Isolation Forest, One-Class SVM, LOF, autoencoders. For analyzing unusual patterns or deviations.
Identifies outliers and anomalies in data using statistical methods like Z-score, Isolation Forest, Local Outlier Factor, DBSCAN, and autoencoders. Useful for fraud detection, quality monitoring, and system health checks.
Detects anomalies in Axiom datasets using statistical methods like Z-scores for volume spikes, outliers, new error types, and rare events in observability data.
Share bugs, ideas, or general feedback.
This skill provides automated assistance for anomaly detector tasks within the Data Analytics domain.
This skill activates automatically when you:
Example: Basic Usage Request: "Help me with anomaly detector" Result: Provides step-by-step guidance and generates appropriate configurations
| Error | Cause | Solution |
|---|---|---|
| Configuration invalid | Missing required fields | Check documentation for required parameters |
| Tool not found | Dependency not installed | Install required tools per prerequisites |
| Permission denied | Insufficient access | Verify credentials and permissions |
Part of the Data Analytics skill category. Tags: sql, analytics, visualization, statistics, bi