Skill UI

Analyzes oral health records to detect trends, assess caries and periodontal risks, and generate personalized care advice. Supports linked analysis with nutrition, chronic disease, medication, and eye health data for comprehensive oral care insights.

Analyze sexual health records, ED severity, STD screening, contraception effectiveness, and sexual activity trends. Useful for generating structured risk reports and linking sexual health data with medication, chronic disease, and lifestyle factors.

Automates the final pre-release verification by running documentation, quality, testing, and security gates through the Centinela QA agent before shipment, then records results and verdict in docs for each version.

Creates concise Architecture Decision Records (ADRs) that capture context, decision, and consequences whenever a significant technical choice has been finalized so future engineers understand why the architecture looks the way it does.

This tool generates comprehensive briefing documents for scheduled meetings. It integrates data from calendar systems, email history (up to 90 days and historical), professional networking sites (LinkedIn), and past interaction records (Granola). It provides context on attendees, relationship history, key discussion points, and critical action items to ensure users are fully prepared for every call, regardless of whether it's a first introduction or a follow-up.

This tool parses NetFlow v9 and IPFIX records to conduct deep network security analysis. It is crucial for investigating security incidents by building traffic baselines and applying statistical methods. Key detection capabilities include identifying port scanning, data exfiltration attempts, command and control (C2) beaconing patterns, and general volumetric anomalies in network traffic.

A comprehensive guide utilizing Splunk Enterprise Security and SPL to conduct deep forensic analysis of security incidents. This skill covers correlating disparate sources like Windows event logs, firewall records, proxy data, and Sysmon logs to detect TTPs, reconstruct timelines, and identify anomalies, making it essential for incident response and threat hunting.

This powerful tool leverages DNSTwist, a comprehensive domain permutation engine, to detect various forms of domain impersonation. It generates thousands of potential lookalike domains (including typosquatting, attribute flaws, and homographs) and performs deep checks on DNS records, web page similarity (ssdeep/pHash), and registration status. It is vital for security analysts and threat hunters to proactively monitor for brand squatting and sophisticated phishing threats targeting an organization.

This comprehensive guide details the systematic extraction and analysis of Windows Registry hives (SAM, SYSTEM, SOFTWARE, NTUSER.DAT) from forensic images. It demonstrates how to use specialized tools like RegRipper and Python scripts to uncover critical artifacts, including user activity history, persistence mechanisms (autorun keys), installed software records, and evidence of system compromise, which is crucial for digital forensics investigations.

This system builds an automated framework to track adversary Command and Control (C2) infrastructure. By leveraging passive DNS records, Certificate Transparency logs, and WHOIS data, it maps complex relationships between domains, IPs, and registrars. Use it to pivot from known indicators to discover entirely new, related threat actor infrastructure or maintain a continuous map of a threat group's network activity.

This guide outlines the process of passive external reconnaissance using Open Source Intelligence (OSINT) techniques. Users can map an organization's digital footprint by gathering comprehensive data, including DNS records, subdomains, certificate transparency logs, social media profiles, and leaked credentials. It is critical for the planning phase of penetration testing, asset mapping, or preparing for social engineering, all without actively interacting with target systems.

This skill provides methods for detecting covert data exfiltration channels using DNS tunneling. It analyzes DNS query patterns, including subdomain entropy, query volume anomalies, oversized TXT/CNAME records, and unusual query types, to identify potential data leakage attempts from compromised networks. Ideal for threat hunting and building advanced passive DNS monitoring capabilities.