Skill UI

This template provides production-ready FastAPI project skeletons, incorporating advanced features such as async patterns, dependency injection, middleware, and robust error handling. It is essential for developers starting new high-performance REST APIs, microservices, or complex backend systems in Python, ensuring adherence to best architectural practices.

This guide teaches developers how to achieve type-safe and predictable error handling in TypeScript using functional programming concepts from fp-ts, specifically focusing on the Either and TaskEither patterns. Instead of relying on disruptive try/catch exceptions, this pattern treats errors as explicit data values, forcing the calling code to handle failure paths, which is crucial for building robust, maintainable, and functional APIs and services.

Collection of Go idioms and best practices for building robust, maintainable services, covering simplicity, zero values, interface returns, error handling, and concurrency when writing, reviewing, or refactoring Go code.

Documented Go testing workflow covering TDD, table-driven cases, subtests, helpers, mocking, and HTTP handler verification so teams can ensure robust unit and integration coverage for their Go services.

Guidance for building robust GraphQL services: schema design with Relay-style pagination, resolver patterns that leverage per-request DataLoader for N+1 prevention, subscription handling, and structured error payloads to simplify client integrations.

This skill provides step-by-step guidance for generating production-ready Kubernetes manifests. It covers essential infrastructure components including Deployments, Services, ConfigMaps, Secrets, and PersistentVolumeClaims. Use this skill when defining complex microservices infrastructure, ensuring robust network connectivity, managing configuration state, or setting up stateful workloads while adhering to Kubernetes best practices (e.g., resource limits, health checks).

Identifies high-quality leads by analyzing your product/service, defining ideal customers, and surfacing prioritized target companies with contact strategies, making it ideal for sales, business development, and marketing outreach.

Draft privacy policies, terms of service, and compliance documents tailored to tech and SaaS businesses, incorporating GDPR, CCPA, LGPD, and other regulations while offering actionable steps, checklists, and implementation notes.

A comprehensive guide to production-grade patterns for Linkerd, a lightweight, security-first service mesh for Kubernetes. This resource covers essential concepts like automatic mTLS, advanced traffic routing (e.g., canary deployments, A/B testing), service resilience using retries/timeouts, and robust access control policies, enabling reliable microservices architecture deployment.

Guides designing robust microservices with service boundaries, event-driven communication, saga orchestration, API gateways, health checks, and anti-pattern awareness for resilient distributed systems.

This skill provides a comprehensive framework for mastering microservices architecture patterns. It covers critical aspects of building robust, distributed systems, including defining service boundaries (Domain-Driven Design), managing inter-service communication, handling distributed data transactions, and implementing various resilience patterns (e.g., circuit breaker, circuit breaker). It is essential for large-scale system decomposition.

Provides comprehensive methodologies for planning, executing, and validating complex, zero-downtime system migrations. This skill covers critical patterns across data (Schema Evolution, CDC), services (Strangler Fig, Canary), and infrastructure (On-Prem to Cloud). It ensures minimal business impact, data consistency, and reliable rollback strategies.