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 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.

This guide details the process of performing Active Directory reconnaissance using BloodHound and SharpHound. It leverages graph theory to visualize hidden trust relationships, group memberships, and ACLs, mapping the shortest attack paths from a low-privilege compromised user all the way to Domain Admin rights. This is essential for red-teaming, security auditing, and identifying critical misconfigurations.

Launches an interactive web dashboard designed to visualize the knowledge graph derived from a target codebase. This tool helps developers gain a high-level, structural understanding of complex projects by mapping out relationships, module dependencies, and the overall knowledge network of the code, making maintenance and onboarding significantly easier.

This technique is used when the required answer in a case query is not directly stated but must be deduced by following a sequence of connected roles, people, or events. It involves mapping complex relationships, such as Victim -> Defendant -> Lawyer -> Witness, to trace indirect connections and reach the final piece of information. Ideal for advanced investigative research and deep knowledge graph traversal.

This skill is designed for understanding complex database structures. It allows users to list all available tables, intelligently filter relevant tables based on natural language queries, retrieve detailed schemas (columns, types, primary/foreign keys), and map inter-table relationships. It culminates in generating the M-Schema format, which is essential for accurately preparing the context needed for advanced SQL query generation.

This advanced skill is an end-to-end tool for transforming complex research topics into professional, visualized knowledge graph PDFs. It automatically conducts multi-round web searches, extracts key entities, structures related knowledge, and designs the optimal visualization (supporting Graphviz, PlantUML, etc.). Ideal for deep academic analysis, mapping character relationships, or visualizing complex technical architectures where existing structured data is unavailable.

A comprehensive guide detailing professional data migration strategies for Salesforce. It covers utilizing Bulk API 2.0, implementing ETL patterns, complex schema mapping, and preserving object relationships (parent-child). Ideal for large-scale CRM data transfers, org-to-org migrations, and data re-platforming.

This skill generates comprehensive Entity Relationship Diagrams (ERDs) and database schemas as D2 source code from an existing Entity Framework Core codebase. It analyzes DbContexts, DbSet declarations, Fluent API mappings, and migrations to accurately visualize tables, columns, primary/foreign keys, relationships (including many-to-many joins), owned types, and constraints. The output is a structured .d2 file, suitable for rendering into SVG or PNG, helping developers document the persistence model.

This skill facilitates structured, bidirectional reading and knowledge synthesis for academic texts, theories, and articles. It forces users to first capture the source material's original intent, before critically mapping its relationships, conflicts, and absorptions against the CrossFrame framework. It ensures structured output with clear source boundaries, making it ideal for deep learning and scholarly work.

A specialized, read-only tool designed for penetration testing and red teaming. It performs comprehensive enumeration across AWS and Azure, allowing users to build a deep situational awareness of an environment. Key functions include identifying internet-exposed endpoints, retrieving sensitive secrets, and mapping critical trust relationships (like sts:AssumeRole) necessary for planning lateral movement or privilege escalation.