Skill UI

A specialized skill for architecting, building, and productionizing complex Agent Development Kit (ADK) agents and multi-agent systems. This process emphasizes best practices, including clean module structure, robust tool integration, comprehensive regression testing, and deployment automation for reliable, shippable AI solutions. Use this when requiring the creation of structured, enterprise-grade agent code.

Master modern API documentation using OpenAPI 3.1, AsyncAPI, and advanced AI tools. This skill facilitates the creation of world-class, interactive developer portals, robust SDK generation, and comprehensive API specifications. It ensures documentation is always accurate, actionable, and significantly improves the overall developer experience (DX), reducing time-to-integration.

This skill provides optimal best practices and patterns for building ViewModels, Wizards, and managing complex navigation flows in Avalonia applications. It leverages the power of ReactiveUI for functional state management and Zafiro for structured command handling, ensuring the creation of robust, maintainable, and scalable MVVM architectures.

Automates BigQuery table creation by guiding GCP best practices, generating ready-to-deploy configurations, and validating resources whenever you trigger the BigQuery table creator skill.

This guide provides comprehensive patterns and best practices for working with ClickHouse, a high-performance OLAP database. It covers advanced topics such as MergeTree engine design, efficient query optimization (filtering, aggregations, window functions), bulk/streaming data ingestion, materialized view creation, and performance monitoring techniques, ensuring optimal performance for large-scale analytical workloads.

This skill provides comprehensive guidance on leveraging d3.js (Data-Driven Documents) to create sophisticated, interactive, and publication-quality data visualizations. It covers core concepts like data binding, implementing various chart types (network graphs, geo-maps, etc.), handling complex transitions, and ensuring responsiveness across modern JavaScript frameworks (React, Vue, Vanilla JS). Learn the standard workflow for scale definition, axis creation, and drawing custom visual elements with fine-grained control.

Auto-activating AWS skill that guides users through CloudFormation template creation, covering compute, storage, networking, and serverless best practices with validation-ready output.

This skill acts as a compatibility alias for pull request (PR) creation. It is designed to handle requests using the legacy name 'create-pr', redirecting the user to the canonical and updated workflow found in 'sentry-skills:pr-writer'. Use this when referencing the old skill name to ensure the latest PR writing standards are applied.

This skill acts as an expert resource for modern .NET development using C#. It guides the creation of enterprise-grade, high-performance applications by leveraging advanced C# features (like records, pattern matching), strictly adhering to SOLID principles, optimizing memory usage, and implementing comprehensive unit tests. Ideal for complex backend services and architecture tasks.

This skill automates the creation of comprehensive documentation for relational databases (PostgreSQL/MySQL). By introspecting live schemas, it extracts detailed metadata including table structures, column descriptions, primary/foreign key relationships, indexes, views, and stored procedures. The output provides a data dictionary, entity-relationship map, and schema statistics, crucial for knowledge transfer and database lifecycle management.

This skill enables the generation of high-quality images and videos using advanced fal.ai AI models. It is designed for creative professionals, artists, and developers who require powerful, generative visual content. Use this when your task involves transforming text prompts into sophisticated visual media, making it ideal for concept art, multimedia prototyping, or advanced content creation.

Auto-activating backend skill that guides users through go handler generator patterns, production-grade code/config creation, and best-practice validation across microservices.