Skill UI

A comprehensive Python SDK for interacting with Azure Monitor services. It enables developers to execute complex Kusto Query Language (KQL) queries against Log Analytics workspaces and retrieve various resource metrics (CPU usage, network traffic, etc.). Ideal for building robust monitoring dashboards, automated alerting systems, and custom data analysis pipelines in cloud environments.

Guides engineers through bundle analysis, lazy loading, image optimization, caching headers, virtualized lists, and Core Web Vitals monitoring so web apps stay fast and scalable for production traffic.

This comprehensive guide provides systematic methods to optimize Supabase query and database performance. Techniques cover PostgreSQL indexing (basic, composite, partial), using EXPLAIN ANALYZE for query plan analysis, optimizing client calls (column selection, pagination), and managing infrastructure resources like connection pooling. Use this when facing slow queries, high latency, or preparing a project for production-scale traffic.

Use Wireshark to capture and filter live traffic or PCAP files, inspect protocols, follow streams, and generate statistics for incident response, performance tuning, and protocol learning.

Guide to capturing, filtering, and inspecting packets with Wireshark for troubleshooting, performance tuning, and security investigations across live and PCAP-based workflows.

Guide to capturing, filtering, and inspecting packets with Wireshark for troubleshooting, performance tuning, and security investigations across live and PCAP-based workflows.

A command-line utility designed to search, extract, and analyze data from Burp Suite project files (.burp). It allows users to search request/response headers and bodies using complex regex patterns, extract security audit findings, or gather proxy/site map data. Essential for deep analysis of captured HTTP traffic in web security testing, while providing safeguards against large data overflows.

Examines packet captures, Zeek logs, and NetFlow data to uncover C2 channels, lateral movement, and exfiltration during security incidents, guiding analysts through capture, filtering, and IOC extraction workflows.

A comprehensive skill designed for advanced security analysis, detecting malicious behaviors across mobile applications (Android/iOS). It performs multi-layered analysis, including static indicator checks (permissions, manifest), dynamic instrumentation via Frida, network traffic monitoring (C2 communication, exfiltration), and automated scanning (MobSF). Use this when investigating suspicious apps, detecting trojans, or performing malware triage.

This skill provides a systematic methodology for detecting Command and Control (C2) beaconing patterns in network traffic. It utilizes advanced statistical techniques, including Coefficient of Variation (CV) and jitter analysis, applied to network flow logs (Zeek, proxy, firewall). It is crucial for proactive threat hunting and incident response to identify compromised endpoints communicating periodically with malicious infrastructure.

This skill provides advanced threat hunting techniques to detect unauthorized data exfiltration. It guides the analysis of network traffic, DNS queries, and cloud uploads to identify unusual data flows, DNS tunneling, and abuse of encrypted channels, essential for incident response and preventing data loss.

This skill details the deployment and advanced querying techniques for Arkime (Moloch), enabling comprehensive full packet capture network traffic analysis. Users can leverage the Arkime API v3 to search connections, download PCAPs, detect sophisticated C2 beaconing, and analyze connection patterns and anomalies across DNS, HTTP, and TLS traffic. Essential for security monitoring and network forensics.