From jeremylongshore-claude-code-plugins-plus-skills
Guides anomaly detection in data analytics, covering SQL queries, visualization, and statistical analysis.
How this skill is triggered — by the user, by Claude, or both
Slash command
/jeremylongshore-claude-code-plugins-plus-skills:anomaly-detectorThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
This skill provides automated assistance for anomaly detector tasks within the Data Analytics domain.
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
npx claudepluginhub jeremylongshore/claude-code-plugins-plus-skills --plugin ejentum-reasoningDetects unusual patterns and outliers in data using statistical methods, isolation forests, autoencoders, and other techniques. Useful for fraud detection, system monitoring, and quality control.
Investigates Elastic ML anomaly detection jobs: root-cause analysis, score explanation, job operations (create, datafeed, start/stop), and troubleshooting (missing docs, memory limits, datafeed health).
Detects anomalies and outliers in datasets using ML like Isolation Forest, One-Class SVM, LOF, autoencoders. For analyzing unusual patterns or deviations.