Skill UI

Download YouTube videos with selectable quality (best to 360p or worst) and output formats (mp4/webm/mkv) or audio-only MP3, saving to a specified directory via a lightweight Python wrapper around yt-dlp.

This skill provides structured procedures and Python examples for detecting internal data exfiltration. It analyzes endpoint, cloud, and email logs by establishing behavioral baselines and performing statistical anomaly detection. Use cases include investigating insider threats, monitoring DLP policy violations, and building robust User and Entity Behavior Analytics (UEBA) rules for SOC teams.

A comprehensive technical guide covering the implementation of Data Loss Prevention (DLP) across major cloud platforms, including AWS Macie, Google Cloud DLP, and Azure Information Protection. Learn how to automatically discover, classify, and protect sensitive data (PII, PHI) residing in cloud storage, databases, and data pipelines, ensuring adherence to compliance frameworks like GDPR and HIPAA.

This skill guides the deployment and configuration of Data Loss Prevention (DLP) controls directly on endpoints. It detects and prevents the unauthorized exfiltration of sensitive data (PII, PHI, PCI) via common vectors like email, USB drives, cloud storage uploads, and printing. Use this when establishing compliance policies (HIPAA, GDPR) or securing data against internal data movement risks.

This guide provides comprehensive security hardening procedures for enterprise Google Workspace environments. It covers advanced topics such as enforcing phishing-resistant Multi-Factor Authentication (MFA), configuring email authentication (DMARC/SPF/DKIM), implementing Data Loss Prevention (DLP), and securing super admin accounts using Advanced Protection Program enrollment. Ideal for achieving high compliance and defending against BEC and phishing attacks.

This skill guides the implementation of Mobile Application Management (MAM) policies, enabling robust data protection for corporate assets on both managed and unmanaged mobile devices (BYOD). It covers configuring app-level controls such as Data Loss Prevention (DLP), selective wiping, and containerization using platforms like Microsoft Intune and Azure AD. Use this when enforcing data separation between personal and work environments without requiring full device enrollment.

This guide details the implementation of Zero Trust Architecture for securing Software as a Service (SaaS) applications. It leverages Conditional Access Policies, CASB (Cloud Access Security Broker), and Identity Governance to enforce strict identity verification, device compliance, and data loss prevention (DLP) across cloud environments (e.g., M365, Salesforce). It helps mitigate risks associated with shadow IT and excessive application permissions.

This skill provides SOC teams with a structured, multi-source workflow to investigate potential insider threats. It correlates data from SIEM, DLP, EDR, and HR feeds to detect data exfiltration attempts (via cloud, USB, email), unauthorized access patterns, and policy violations. It is crucial for building comprehensive investigation timelines, especially when handling departing employees or suspected data theft.

This skill provides a comprehensive, multi-stage guide for investigating insider threats. It covers the entire lifecycle, from receiving an allegation and ensuring legal authorization, to covert evidence collection (DLP logs, endpoint forensics), advanced user behavior pattern analysis, and reconstructing a detailed activity timeline for potential legal action. Essential for security incident response.

This guide outlines the implementation of Remote Browser Isolation (RBI) as a core component of a Zero Trust architecture. It details policies for URL risk classification, Data Loss Prevention (DLP) controls, and Content Disarm and Reconstruction (CDR). This is essential for hardening web access, protecting against zero-day exploits, phishing, and preventing data exfiltration from untrusted web content.

This guide provides a comprehensive blueprint for implementing robust Data Loss Prevention (DLP) policies using Microsoft Purview. It covers the configuration of sensitivity labels (encryption, content marking) and the creation of custom DLP rules using regex patterns. The workflow extends to endpoint DLP deployment for controlling file operations on Windows and macOS devices, ensuring sensitive data protection across SharePoint, Exchange, and OneDrive. It leverages PowerShell and the Microsoft Graph API for advanced, programmatic compliance management.

This skill extracts full transcripts and rich metadata from a single YouTube video URL. It uses yt-dlp to download subtitles, cleans VTT timing markers, and pulls video details (title, channel, date). The output is a structured, queryable Markdown file, ideal for populating a personal knowledge vault and enabling downstream knowledge graph extraction or content repurposing.