artemis-debug-secure
Database investigation skill for Jira tickets with secure credential handling. Multi-Agent Swarm for 3x faster parallel execution. Auto-learns from investigations, searches similar tickets, integrates with Jira, and detects anomalies.
detecting-anomalies
Detect anomalies in metrics and time-series data using OPAL statistical methods. Use when you need to identify unusual patterns, spikes, drops, or outliers in observability data. Covers statistical outlier detection (Z-score, IQR), threshold-based alerts, rate-of-change detection with window functions, and moving average baselines. Choose pattern based on data distribution and anomaly type.
clustering
Discover patterns in unlabeled data using clustering, dimensionality reduction, and anomaly detection
Wireshark Network Traffic Analysis
This skill should be used when the user asks to "analyze network traffic with Wireshark", "capture packets for troubleshooting", "filter PCAP files", "follow TCP/UDP streams", "detect network anomalies", "investigate suspicious traffic", or "perform protocol analysis". It provides comprehensive techniques for network packet capture, filtering, and analysis using Wireshark.