Skill UI

This guide provides comprehensive patterns for optimizing Turborepo build pipelines within monorepos. It covers local and remote caching strategies, including integration with Vercel and self-hosted solutions. Use it when setting up new monorepos, improving CI/CD performance, or debugging complex build dependency issues.

An expert guide for building high-performance, cross-platform games using Unity 6 LTS. This skill covers advanced C# programming (DOTS, Job System), modern rendering pipelines (URP/HDRP), comprehensive performance optimization (Profiling, Culling), advanced game architecture (ECS, MVC), and networked multiplayer implementation. Ideal for professional game developers tackling complex, large-scale projects.

uv is an extremely fast Python package installer and resolver written in Rust. This guide provides a comprehensive workflow for modern Python project management and dependency handling. Use this skill to set up new projects quickly, manage dependencies much faster than traditional tools like pip, resolve complex conflicts, and optimize CI/CD pipelines, especially when dealing with monorepos or needing reproducible builds.

This skill validates API responses against predefined schemas, including OpenAPI and JSON Schema, to ensure strict contract compliance and data integrity. Use it for implementing robust contract tests in middleware or CI/CD pipelines, detecting schema drift, and guaranteeing backward compatibility across API versions.

This tool rigorously validates API schemas against industry standards, including OpenAPI 3.0/3.1, JSON Schema, and GraphQL SDL. It performs structural analysis to detect incomplete schemas, inconsistent naming, undocumented endpoints, and critical breaking changes. Use it within your CI/CD pipeline to ensure API contracts are robust, compliant, and maintainable before release.

This guide details how to integrate Vast.ai's GPU provisioning capabilities into automated CI/CD pipelines, such as GitHub Actions. It enables developers to run GPU-accelerated tests, model benchmarks, and validations automatically. Key features include robust instance lifecycle management (provisioning, running, and cleanup) and advanced cost-control mechanisms (e.g., setting budget limits) to ensure reliable and efficient testing in a cloud environment.

This deep dive guides users through migrating complex GPU workloads, such as deep learning training pipelines, from major hyperscalers (AWS, GCP, Azure) or other cloud platforms to Vast.ai. It covers critical steps including cost comparison analysis, adapting Docker images for new environments, securely handling cloud credentials via environment variables, and implementing robust validation and rollback procedures to ensure a smooth transition.

Configures robust CI/CD pipelines for Vercel projects using GitHub Actions. This guide automates the full deployment lifecycle, including generating preview environments on every pull request, performing reliable production builds upon merging to main, and implementing test gating to ensure code quality before release. Ideal for professional web development workflows.

Comprehensive guide for creating, managing, and automating preview deployments on Vercel. Learn how to utilize both the CLI and REST API to deploy unique, temporary environments for specific branches or pull requests. This is essential for pre-production testing, integrating into CI/CD pipelines, and sharing stable preview URLs with stakeholders before merging to main.

This comprehensive guide provides a step-by-step walkthrough for deploying a minimal, functional full-stack application to Vercel. It covers setting up both static HTML landing pages and robust serverless API routes using TypeScript. This skill is ideal for beginners starting new Vercel projects, testing deployment pipelines, or learning the core patterns of modern serverless function implementation.

This skill guides developers through installing the Vercel Command Line Interface (CLI) and configuring secure authentication. It covers multiple setup scenarios, including interactive OAuth login, setting environment tokens for CI/CD pipelines, and linking a local project directory to a specific Vercel project. Essential for initial project setup and ensuring smooth deployments.

This skill guides the integration of Windsurf workflows into CI/CD pipelines (like GitHub Actions). It provides comprehensive mechanisms for validating configuration files and enforcing AI code quality standards. Use it to automate policy checks, detect hardcoded secrets, ensure sufficient test coverage for new files, and manage complex config deployments across repositories, ensuring highly reliable and compliant code merges.