Skill UI

This skill provides a robust, schema-based system for handling API authorization and access control. It enables developers to define detailed permission schemas (the domain layer) and create injectable, type-safe permissions abstractions (the feature layer). Use this system when implementing complex access control logic, checking granular read/write/delete permissions, or enforcing resource ownership scoping (`own` records) across API use cases.

This pattern provides a comprehensive guide to implementing domain event handlers (before/after hooks) within the Webiny framework. It emphasizes the 'thin orchestrator' principle, requiring handlers to delegate all business logic to reusable service abstractions or UseCases for maximum reusability. Furthermore, it details the process of defining, publishing, and reacting to custom domain events, ensuring a clean, decoupled architecture.

Provides a standardized and robust skeleton for developing full-stack extensions that integrate both a backend API service and a frontend Admin UI. This pattern enforces clear separation of concerns, utilizing shared domain layers for data consistency while ensuring that API and Admin code are correctly registered using specific entry points. Ideal for complex applications requiring unified management interfaces and robust backend logic.

This skill provides a powerful mechanism for modifying and extending AWS infrastructure using Pulumi handlers and dedicated declarative components. It allows developers to manage complex cloud setups, including configuring OpenSearch, VPC networking, resource tagging, custom domains, blue-green deployment strategies, and implementing environment-conditional configurations (e.g., production vs. development).

This guide details the UseCase pattern, an architectural pattern used to encapsulate specific business operations within the Webiny framework. Learn how to define UseCases as injectable dependencies, manage input and output using the structured Result<T, E> type, and implement robust, domain-specific error handling. Mastering this pattern is crucial for building highly modular, testable, and maintainable backend APIs.

This domain-agnostic skill ranks impediments, risks, and gaps by using a specialized value-stream scoring model. It evaluates countermeasures based on four criteria: Return on Investment (ROI), Cost to Implement, Ease of Deployment, and Risk Factor. A proprietary formula calculates a final Priority score (1-100), allowing users to quickly determine the optimal sequence for remediation, improvement backlogs, or triage items.

This tool analyzes and refactors code to detect and correct anemic domain models. It enforces rich domain modeling patterns (Entities, Value Objects, Aggregates, Domain Events), improving encapsulation and business logic ownership. Use it when validating, reviewing, or refactoring core domain logic to ensure adherence to Domain-Driven Design (DDD) principles.

This skill guides users through building comprehensive Smart City and IoT solutions on the Azure platform. It covers the entire solution lifecycle, from initial high-level requirements and defining city domains (e.g., traffic, energy) to designing robust, scalable architectures. Outputs include detailed reference architectures, security checklists, cost strategies, and phased implementation roadmaps for enterprise deployment.

This skill leverages the Gemini AI model to perform comprehensive and broad literature discovery across academic domains. Unlike traditional APIs, it decomposes complex research queries into sub-problems, explores topic aliases, and surfaces highly relevant papers that might otherwise be missed. It is ideal for conducting deep, multi-angled literature reviews and achieving a holistic view of a research field.

Hugging Science is a curated, LLM-friendly index specializing in AI/ML applications across diverse scientific domains, including biology, chemistry, physics, and medicine. It helps researchers discover pre-filtered datasets, state-of-the-art models, and interactive demos for solving complex scientific problems, ensuring high signal quality beyond generic search.

This skill analyzes the comprehensive commit history between two branches to generate a concise, objective, and highly structured Pull Request (PR) description. It automatically groups changes by domain, summarizing the purpose, technical notes, and user impact, ensuring consistency and minimizing manual documentation effort.

This assistant guides users through managing Azure resources entirely via the command line using the Azure CLI (`az`). It identifies the correct commands, prompts for missing required parameters (like resource groups or locations), constructs the full command sequence, executes the action, and diagnoses any output errors to ensure successful deployment and configuration of services across Compute, Networking, and other Azure domains.