Skill UI

A collection of production-ready Python patterns for interacting with the Vast.ai cloud API. This includes typed search query builders, context-managed instance lifecycle (guaranteeing auto-cleanup), offer scoring algorithms (cost, reliability, performance), robust retry mechanisms with backoff, and secure SSH command execution. Essential for building reliable, complex cloud workflow applications.

This comprehensive guide outlines best practices for optimizing vector indexes for production systems. It covers critical techniques such as tuning HNSW parameters, implementing quantization strategies, and optimizing memory usage. Use this when you need to balance search latency, recall, and scalability for large-scale vector databases.

A comprehensive guide for diagnosing difficult and intermittent Vercel deployment issues. Covers advanced topics such as cold start analysis, edge function crashes, region-specific behavior isolation, function bundle optimization, and concurrency throttling. Use this when standard logging fails and systematic, deep-dive debugging is required for production stability.

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.

This guide provides comprehensive methods for deploying, promoting, and managing Vercel applications in production environments. It covers advanced strategies like instant rollback, controlled rolling releases (canary deployments), multi-region function configuration, and integrating with headless CMS via deploy hooks. Use this when you require robust CI/CD practices, high availability, and predictable production traffic management.

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.

Guides deploying Next.js apps to Vercel covering environment variable strategy, choosing edge vs serverless runtimes, build optimizations, preview workflows, and custom domain setup to secure production releases.

A comprehensive, step-by-step guide for responding to Vercel-related production outages, deployment failures, and platform issues. This runbook covers rapid triage using CLI commands, executing instant rollbacks, investigating root causes (log analysis, diffing), managing communication templates, and conducting thorough postmortem reviews.

This guide details how to set up a full local development loop for applications deployed to Vercel. It covers using `vercel dev` to emulate serverless functions, managing environment variables, and implementing hot reloading. It provides step-by-step instructions for local testing of API routes and frontends, ensuring a fast and accurate iteration cycle before production deployment.

A comprehensive guide to configuring Vercel across Development, Preview, and Production environments. Learn how to scope environment variables, manage secrets, and automate multi-stage deployments using both the Vercel CLI and REST API. Covers setting up custom environments (e.g., Staging) and implementing environment detection in code for reliable application behavior.

This guide provides a comprehensive setup for Vercel observability. It covers enabling built-in analytics, collecting detailed runtime logs, implementing structured logging, configuring external log drains (e.g., Datadog, Sentry), and integrating OpenTelemetry tracing. Use this when monitoring production deployments and setting up robust error tracking.

This comprehensive checklist is designed for ensuring flawless deployments to Vercel's production environment. It guides users through every critical stage: pre-deployment verification (environment variables, testing), secure promotion and API deployment, domain configuration, post-deployment health checks, and immediate rollback procedures. Use this guide whenever preparing for a major launch or implementing go-live procedures to minimize production risks.