Skill UI

An autonomous factory for generating production-ready, cross-platform AI agent skills. It accepts raw, unstructured human input—such as transcripts, PDFs, screenshots, vague ideas, or code snippets—and reverse-engineers the complete workflow logic. It bridges the gap between human intent and functional agent specifications, allowing users to automate complex processes without writing code.

A comprehensive guide to designing scalable, cost-effective, and compliant architectures on Microsoft Azure. This skill covers the entire lifecycle, from gathering detailed business requirements (SLA, RPO/RTO) and selecting appropriate service patterns (AKS, Serverless, Data Factory), to generating Infrastructure as Code (IaC) using Bicep. It also includes steps for cost optimization, reserved instance planning, and setting up robust CI/CD pipelines via Azure DevOps or GitHub Actions.

This guide provides comprehensive testing patterns for C# and .NET applications. It covers best practices using xUnit, FluentAssertions, and advanced techniques like mocking (NSubstitute/Moq), parameterized testing, and full integration testing using Testcontainers and WebApplicationFactory. Ideal for improving test quality, coverage, and developing robust, maintainable codebases.

A comprehensive code review tool designed for C#/.NET projects. It evaluates the implementation of key design patterns (Command, Factory, Repository) and adherence to SOLID principles. The review covers architecture, best practices (async/await, logging), security, testability, and clean code principles, providing actionable recommendations for improvement.

This guide provides a set of production-grade TypeScript patterns for robust interaction with the Attio REST API. It covers essential best practices including typed clients, automatic retry mechanisms with exponential backoff, cursor-based pagination iterators, and multi-tenant factory implementation, ensuring reliable and scalable API integration. Use these patterns to handle common API challenges like rate limiting and large datasets efficiently.

This guide provides production-ready patterns for automating TechSmith tools using PowerShell and COM API. It features a Snagit COM API factory pattern for consistent screen capture and a batch rendering function for Camtasia. Use these patterns to build robust, automated content pipelines for screen recording and professional video production.

A comprehensive guide to implementing production-ready patterns for the Webflow SDK. Covers essential architectural patterns such as singleton client management, robust typed error handling (including specific HTTP status codes like 401, 403, 429), efficient pagination helpers, rate limit monitoring via raw response access, and multi-tenant client factory setup. Essential for building scalable, enterprise-grade Webflow integrations.

This guide details how to programmatically define and manage Headless CMS content models using the ModelFactory pattern. Developers learn to declare fields (including complex types like richText, file, object), set validators (required, unique, regex), configure field layouts, and manage API naming conventions entirely through code. It is essential for extending and customizing CMS core functionality.

This guide details how to implement custom Content Management System (CMS) field types within a framework. It covers extending the core DataFieldBuilder, composing complex validator interfaces, creating a dedicated FieldTypeFactory, and ensuring proper registration via Dependency Injection (DI) and module augmentation for full TypeScript autocomplete support. Essential for adding fields with specialized validation or storage formats.

This abstraction provides the `CliCommandFactory` pattern, enabling developers to implement custom command-line interfaces (CLIs) for the Webiny ecosystem. It standardizes the process of defining, structuring, and interacting with various shell commands, ensuring robust and maintainable tooling within your application.

This skill provides a detailed guide on extending the Webiny Command Line Interface (CLI) by implementing custom commands. It utilizes the `CliCommandFactory` pattern to define structured commands, manage typed parameters, and execute complex logic. Use cases include automating data migrations, generating boilerplate code, executing custom deployment workflows, and performing CMS content exports.

This pattern provides a robust method for extending and customizing existing GraphQL APIs. Developers can implement `GraphQLSchemaFactory` to add custom root queries and mutations, injecting complex business logic and use cases directly into the API layer. It fully supports per-resolver dependency injection (DI), ensuring that every resolver has access to critical request-scoped context, such as identity and tenancy, making it ideal for building modular, enterprise-grade backend services.