Skill UI

A comprehensive guide for designing and building large-scale, resilient platforms using the evolutionary modular monolith approach. It enforces strong logical boundaries using DDD principles (bounded contexts, flat-by-aggregate) and implements necessary patterns like Anti-Corruption Layers and transactional outboxes. Use this when defining a system's structure, choosing between monolith and microservices, or ensuring robust decoupling from external vendors (e.g., ERP, AI).

Converts raw OpenMed NER outputs (text spans) into structured, standards-compliant FHIR R4 resources (e.g., Condition, Observation, MedicationStatement). It provides mechanical helpers for building CodeableConcepts using major coding systems like SNOMED, LOINC, and ICD-10, ensuring high interoperability with EHR systems and registries.

This skill converts free-text radiology narratives (CT, MRI, X-ray, etc.) into structured, machine-readable data. It automatically identifies and segments key report sections (Technique, Findings, Impression) and extracts critical clinical details such as anatomy, measurements, laterality, BI-RADS/Lung-RADS scores, and follow-up recommendations. It is crucial for building structured medical records and decision support systems.

A comprehensive skill designed to transform contested questions or complex decisions into a structured, auditable evidence map. It systematically tracks all supporting, contradicting, qualifying, and missing evidence, ensuring that reasoning relationships and source regions are preserved for rigorous review.

This guide outlines a structured, step-by-step onboarding process designed to establish trust and ensure user comfort. It systematically builds rapport, establishes administrative authority, and then guides the user to provide necessary credentials (like API keys and passwords) required to finalize the system setup. Ideal for initial user activation flows.

This advanced methodology builds an evidence-linked causal chain from a localized fault to an actionable systemic root. It moves beyond simple proximate causes by requiring counterfactual testing, verifying multiple independent pathways, and prescribing countermeasures that eliminate enabling conditions, ensuring true recurrence prevention.

Build a production-ready behavior tree runtime with Blackboard, action/condition leaves, and composites. Implement Utility AI using response curves and action evaluators. Create hybrid agents combining both for complex NPC decision-making beyond simple FSMs. Suitable for game development and AI system architecture.

This skill initiates a full-quality automated development pipeline for complex tasks spanning multiple files or replacing frameworks. It generates specifications with acceptance criteria, executes code, and verifies results in the background. Ideal for building CLIs, migrations, or API layers. Users provide a goal, and the system handles the entire workflow without manual intervention.

A skill that models AI educator Baoyu's approach to creating accessible AI content, systematic prompt engineering teaching (Level 1-10), tool reviews, open-source sharing, and daily knowledge updates. Ideal for writing tutorials, translating tech articles, and building AI knowledge bases without hype or anxiety.

A playbook for building card games: card data as effects, deck/hand/discard zones, draw and reshuffle, turn phases, costs, and effect resolution. Covers deckbuilders, TCG/CCG, and roguelike deckbuilders.

This skill helps classify AI systems under the EU AI Act (Regulation (EU) 2024/1689) to determine compliance obligations. It guides users through the decision tree from prohibited practices to high-risk categories, GPAI models, and role-specific responsibilities. Useful for assessing risk levels, mapping provider/deployer duties, and building compliance roadmaps. Includes DACH-specific regulatory considerations.

Evaluate compliance with the EU General-Purpose AI Code of Practice under the AI Act. This skill helps determine provider obligations, assess transparency and copyright requirements, classify systemic risks, and build compliance roadmaps. Covers open-source exemptions, safety measures, and documentation standards for AI model providers in the European market.