Skill UI

Upstash QStash expert handles serverless message queues, scheduled HTTP jobs, retries, deduplication, and callback tracking so you can deliver asynchronous tasks without managing infrastructure.

This comprehensive toolkit guides senior UX designers and researchers through the entire product development lifecycle. It covers generating data-backed personas, mapping user journeys, planning structured usability tests, and synthesizing raw research data into actionable design recommendations. Use it when conducting deep user research or validating product designs.

Validates PCI DSS compliance by running the pci-dss-validator plugin on codebases or infrastructure configs, then reports violations and remediation steps for developers, security engineers, and compliance officers.

Collects comprehensive diagnostic evidence for troubleshooting Vast.ai GPU instances. This bundle gathers account status, lists all running instances, retrieves recent logs, performs remote GPU diagnostics (e.g., nvidia-smi, CUDA checks), and verifies API connectivity. It is essential for creating detailed support tickets when encountering persistent infrastructure issues.

This comprehensive runbook provides rapid, structured procedures for incident response on Vast.ai cloud GPU instances. It covers common failure scenarios like spot preemption, training job crashes, and GPU hardware issues. Users can follow the steps for triage, mitigation, recovery, and postmortem analysis to minimize downtime and ensure computational continuity.

Automates Vault Secrets Integrator guidance for DevOps Advanced tasks, covering kubernetes, terraform, CI/CD, monitoring, and infrastructure as code best practices to deliver validated configs and code.

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.

Provides a comprehensive, production-ready reference architecture for building complex applications on Vercel using Next.js and TypeScript. It covers modern best practices, including layered directory structure, secure typed environment variable management (Zod), lazy database singleton implementation, API route patterns, and essential Edge Middleware for authentication and routing. Use this guide when starting a new Vercel project or standardizing existing application infrastructure.

A comprehensive, production-ready TypeScript wrapper for interacting with the Vercel REST API. This client provides typed methods for managing deployments, projects, environment variables, and domains. It includes robust features like standardized error handling, exponential backoff retry logic, and structured request patterns, making programmatic integration with Vercel reliable and type-safe.

Specializes in provisioning Vertex AI infrastructure with Terraform, covering Model Garden, Gemini endpoints, vector search indexes, ML pipelines, and enterprise-grade production deployments.

This comprehensive tool automates the process of translating non-English official documents (images) for visa applications. It handles image preprocessing (conversion and rotation), performs robust OCR using multiple frameworks, translates the extracted text into professional English while maintaining document structure, and generates a certified bilingual PDF containing both the original image and the formatted translation.

This skill functions as a documentation architect, capable of generating highly structured wiki catalogues and comprehensive onboarding guides directly from a codebase. It scans the repository, detects architectural patterns, identifies technical layers (presentation, business logic, data access), and creates two distinct guides: a Principal-Level Guide for seniors and a Zero-to-Hero Path for newcomers, ensuring every detail is cited with specific file paths.