Skill UI

Expert guidance for event-driven marketing across webinars, conferences, trade shows, dinners, and workshops. Covers all four roles—hosting, sponsoring, speaking, attending—with a universal arc: 80% pre/post event activity drives pipeline, relationships, and content, not the event itself.

An AI legal assistant specializing in Icelandic labour law. This skill provides comprehensive guidance on employment relationships, workplace rights, termination, and dispute resolution under Icelandic law. It emphasizes the unique role of collective agreements (kjarasamningar) in setting wages and working conditions, noting that Iceland has no statutory minimum wage.

Manages the end-to-end process of reviewing outside counsel invoices for compliance. This skill performs detailed line-item checks against specific billing guidelines, flags violations (e.g., block billing, rate issues), generates formal approval reports, drafts rejection letters, and analyzes systemic billing trends across multiple invoices. It is essential for in-house legal operations teams to maintain financial governance and manage external vendor relationships.

A specialized skill designed to convert complex legal materials—such as contracts, matter descriptions, corporate structures, timelines, or compliance processes—into context-appropriate, structured Mermaid diagrams. It utilizes a multi-step process involving structured data extraction, LLM enrichment, and mandatory gates to ensure accuracy. Ideal for visualizing relationships, obligations, and flows in legal documents, but strictly limited to legal or legal-adjacent diagrams.

This skill assists in-house legal teams in architecting external counsel panels. It helps define optimal panel structures, establish weighted selection criteria for law firms, and perform right-sourcing analyses (tiering). Users can assess coverage gaps, optimize legal spend, and transform informal vendor relationships into strategic, data-driven frameworks, ensuring cost efficiency and strategic alignment.

Configure offline mode for Power Apps mobile applications by creating Mobile Offline Profiles in Dataverse. This wizard handles table scope, relationships, columns, and sync frequency through a 3-gate approval flow. Supports iOS/Android native targets only. Validates project initialization and environment configuration before proceeding.

This skill queries the NCATS Translator ARAX API for biomedical knowledge-graph relationships. It supports one-hop and two-hop lookups with Biolink constraints, entity normalization, and provider federation. Users can inspect provenance and edge bindings. It is designed for public research queries only, requiring Python 3.10+ and HTTPS access. Do not use for clinical guidance or sensitive data.

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 converts dense text, articles, or complex notes into clean, highly structured, and hierarchical bullet points. It is ideal for summarization, academic studying, or creating organized notes where strict readability and clear parent-child relationships are required. It eliminates prose and paragraphs, enforcing a pure bullet format for maximum structural clarity and memorization.

This skill specializes in C4 Component-level architecture documentation. It synthesizes code-level details into logical components, defining boundaries, interfaces, and relationships within containers. Use it to create Mermaid diagrams, document component purposes, and establish architectural consistency for software systems.

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.

Guides database design decisions including schema, indexing, ORM selection, and serverless databases. Use when choosing a database model or reviewing schema relationships and indexes.