Skill UI

This expert skill specializes in generating comprehensive, structured documentation for microservices and containerized architectures using the C4 Model. It covers system boundaries, container definitions, technology stacks, inter-container communication protocols, API specifications (OpenAPI/Swagger), and deployment infrastructure (e.g., Docker, Kubernetes). Ideal for documenting complex system deployments and mapping architectural relationships.

This skill provides comprehensive guidance on using LibreOffice Base for full-cycle database management. Users can create ODB databases, define schemas, manage tables, and establish relationships. It supports connecting to various external databases (MySQL, PostgreSQL, etc.), performing complex data operations, and automating professional reports and forms using SQL and Python scripting (UNO). Ideal for building data-driven applications.

This skill automates the creation of comprehensive documentation for relational databases (PostgreSQL/MySQL). By introspecting live schemas, it extracts detailed metadata including table structures, column descriptions, primary/foreign key relationships, indexes, views, and stored procedures. The output provides a data dictionary, entity-relationship map, and schema statistics, crucial for knowledge transfer and database lifecycle management.

This skill guides the definition of relationships and integration contracts between distinct bounded contexts within a complex system using Domain-Driven Design (DDD) patterns. It is crucial for preventing domain leakage, planning anti-corruption layers (ACLs), and clarifying ownership boundaries when multiple services interact, ensuring a robust and scalable system architecture.

Designs normalized database schemas by analyzing requirements, mapping relationships, generating ERD diagrams, and producing SQL CREATE statements so you can build well-structured relational databases and follow best practices.

Generates Excalidraw diagrams from natural-language prompts, turning requests such as “make a flowchart” or “draw a system architecture” into ready-to-open .excalidraw JSON files for flows, relationships, mind maps, and architectures.

Automatically generate thorough database documentation using database-documentation-gen, covering ERD diagrams, relationships, columns, indexes, triggers, procedures, and interactive HTML reports whenever you need schema insight for onboarding, reviews, or governance.

Generates realistic database seed data and scripts for development or testing, leveraging Faker libraries to respect schema constraints, maintain relationships, and allow configurable volumes for quick population of demo or test environments.

This skill enables deep analysis of malware families using the Malpedia API. It allows users to retrieve canonical aliases, associated threat actors, and YARA detection rules, and map complex relationships like loader-payload chains. Ideal for threat intelligence research, incident response, and building automated detection signatures.

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 skill provides a comprehensive methodology for detecting Living Off the Land Binaries (LOLBAS) abuse. It analyzes process telemetry (Sysmon, Windows Logs) and parent-child relationships to identify when attackers misuse legitimate Windows utilities (like certutil, mshta, rundll32) to execute malicious code while bypassing traditional security detection. Essential for threat hunting and advanced incident response.

This skill utilizes Impacket to perform comprehensive audits and simulated attacks on Active Directory forest trust relationships. It enumerates trust boundaries, analyzes SID filtering configurations, detects SID history abuse vectors, and assesses inter-realm Kerberos ticket risks. Ideal for red-teaming multi-forest environments or performing deep security audits to find cross-forest privilege escalation paths.