Skill UI

This skill resolves entities extracted by OpenMed (e.g., Disease, Drug) to standardized Concept Unique Identifiers (CUIs) within the UMLS Metathesaurus. It is essential for cross-vocabulary normalization, allowing users to unify concepts (like SNOMED CT, ICD-10, RxNorm) to a single canonical CUI. Crucially, the process relies entirely on the user's own UTS API key, ensuring that the Metathesaurus content is never bundled or cached.

Performs comprehensive, two-layer validation on generated plans. Layer 1 executes instant structural checks (format, dependencies, compliance) while Layer 2 triggers specialist agents (e.g., security, DB, performance) based on plan content. The system forces resolution of all identified issues before allowing execution, supporting auto-fixes and guided human input.

This orchestrator manages the entire end-to-end pipeline for preparing technical talks, transforming raw materials—whether code commits (REX mode) or conceptual articles—into polished revision sheets. It sequentially runs through multiple stages (Research, Concepts, Scripting, Revision) with human-in-the-loop checkpoints, ensuring a structured and comprehensive content creation workflow.

This skill transforms diverse raw source materials—such as articles, transcripts, and notes—into a highly structured summary suitable for a presentation or talk. It automatically detects the source type (Real-world Evidence or Conceptual Thesis), extracts the narrative arc, identifies key metrics, outlines main themes, and critically highlights potential gaps, providing a complete foundation for content creation.

This skill generates a comprehensive, structured catalogue of all key concepts found within a talk's summary and timeline. It categorizes each concept and scores its potential for presentation (HIGH/MEDIUM/LOW) to help users identify the strongest narrative angles. The output is designed to serve as a structured inventory, guiding the subsequent positioning and content development stages.

This comprehensive skill allows users to search the web using the DuckDuckGo API, retrieving diverse content including text results, news articles, images, and videos. It supports advanced filtering options such as time range, region, content type (e.g., news, images), and specific media characteristics (e.g., image size, video duration). Ideal for research, fact-checking, academic study, and gathering current web resources.