Skill UI

A comprehensive runbook for rapid incident response to Snowflake outages, query failures, and pipeline breaks. It guides users through systematic triage, checking account usage, managing resource monitors, and performing rollbacks using time travel, ensuring minimal data loss and quick recovery after critical data infrastructure incidents.

This guide explains the universal Dependency Injection (DI) pattern used across all Webiny extensions (API, Admin, CLI, Infrastructure). It details how to correctly implement constructor injection using the `dependencies` array to access core services like Logger, BuildParams, CMS use-cases, and IdentityContext. Mastering this pattern is crucial for building maintainable, type-safe, and cohesive Webiny extensions.

This module provides essential architectural abstractions for structuring complex applications using the Webiny framework. It defines core types for various system components, including Admin panels, APIs, Command Line Interfaces (CLI), Infrastructure management, and Project logic. Developers must utilize these imported abstractions to ensure strict type safety and clear separation of concerns in their code.

This catalog provides comprehensive infrastructure abstractions and hooks for the Webiny ecosystem. It includes standardized lifecycle hooks (Before/After Build/Deploy/Watch) and specialized services (Logger, UI, AWS interactions) for various modules (Admin, API, Core). Use these standardized interfaces to seamlessly integrate custom logic into your build and deployment pipelines, ensuring modularity and consistency.

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 complete architecture and organizational principles of a Webiny project. It covers the core concepts of the flat folder structure, the role of the central `webiny.config.tsx` file, and how to register various types of extensions (API, Admin UI, Infrastructure, and CLI Commands) using declarative JSX components. Use this when developers need to understand where custom code belongs and how to integrate different functional components into the platform.

Comprehensive patterns and tools for writing robust tests for F# applications within the modern .NET ecosystem. This guide covers unit testing (xUnit, FsUnit), property-based testing (FsCheck), mocking dependencies (NSubstitute), and full integration testing (WebApplicationFactory). Ideal for improving test coverage, validating complex business logic, and establishing a resilient testing infrastructure.

A comprehensive guide for designing and implementing robust Infrastructure as Code (IaC) using Terraform or OpenTofu. Covers module hierarchy design, best practices for naming conventions, structuring multi-environment pipelines, advanced testing strategies (native tests, Terratest, static analysis), and integrating security scanning (trivy, checkov) into CI/CD workflows.

A comprehensive reference for the `uc` CLI, designed for managing decentralized, self-hosted clusters. Use this skill to deploy services via Docker Compose, configure advanced networking, and manage infrastructure components like machines, volumes, and ports. Supports Caddy ingress routing, WireGuard networking, and scaling across peer machines, making it ideal for robust, highly available self-hosting environments.

Use the `Infra.Api.MaxBundleSize` extension to control the maximum allowed size of the built API Lambda bundle. This is crucial when your project's dependencies or code significantly increase the bundle size beyond the default 4.5 MB limit, or when you need to enforce a stricter size constraint. Configuration must be done using precise byte calculations in webiny.config.tsx.

This workflow systematically analyzes deployed AWS resources and Infrastructure-as-Code (IaC) definitions. It collects usage metrics from CloudWatch and Cost Explorer to identify over-provisioning, unused resources, and inefficient configurations (e.g., right-sizing EC2, S3 lifecycle policies). It generates actionable cost optimization recommendations and creates structured GitHub issues for tracking and implementing savings.

Dep handles the entire journey from local code to production deployment. This skill automates containerization using Docker and docker-compose, establishes robust CI/CD pipelines (linting, testing, security scanning, deployment), manages environment variables and secrets, and generates Infrastructure as Code (Terraform/Pulumi) configurations. It ensures observability and provides rollback procedures.