Skill UI

This skill enables the development of robust, event-driven pipelines interacting with the Perplexity Sonar API. Since Perplexity lacks native webhooks, this system simulates event patterns using advanced techniques: Streaming Server-Sent Events (SSE) for real-time data, job queues (like BullMQ/SQS) for asynchronous batch research, and cron-triggered monitoring for scheduled news and trend alerts. It provides patterns for building complex, reliable, and scalable AI applications.

This guide provides comprehensive instruction on integrating with the full Replit ecosystem. Learn to monitor deployment lifecycles, set up external webhook receivers (e.g., GitHub, Stripe), build custom workspace extensions using React/TypeScript, and create complex automated workflows using Replit Agents. Essential for building scalable, event-driven applications on Replit.

A comprehensive guide to configuring Sentry error tracking and performance monitoring across modern application architectures. Learn how to implement coherent, end-to-end distributed tracing for monoliths, microservices, serverless functions (Lambda/Cloud Functions), event-driven systems, SPAs, and mobile applications, ensuring all application hops are monitored from a single source.

A comprehensive guide to building event-driven architectures using Supabase. It covers four core event mechanisms: Database Webhooks (pg_net), Postgres LISTEN/NOTIFY, Edge Function HTTP calls, and Realtime subscriptions. Includes production-ready SQL triggers, signature verification logic, and best practices for handling data changes (INSERT, UPDATE, DELETE) as external HTTP events.

Implement robust, event-driven workflows for managing GPU resources on Vast.ai. Since native webhooks are unavailable, this skill uses Python polling to continuously monitor instance status changes (e.g., loading, running, exited). It enables complex automation tasks such as auto-recovering from spot preemption, handling lifecycle events, and tracking billing costs.

Apify Actorization is a process that transforms existing, standalone software or scripts (like CLI tools) into standardized, reusable serverless applications called Actors. Actors are packaged as Docker images, accepting structured JSON inputs and producing structured JSON outputs. This skill guides developers on migrating projects to the Apify platform, ensuring compatibility, and enabling scalable, event-driven data processing pipelines.

A comprehensive guide for designing and building scalable, resilient serverless applications and event-driven architectures on AWS. It covers best practices using Lambda, API Gateway, DynamoDB, Step Functions, and adheres to the AWS Well-Architected Framework principles, ensuring optimal performance, cost-efficiency, and maintainability.

A comprehensive guide to product analytics, covering essential concepts like event tracking (PostHog, Mixpanel), funnels, cohort analysis, retention metrics, North Star Metrics, and OKR setting. Use this skill to define data-driven product strategies, optimize user journeys, and build robust performance dashboards.

Gradio is a powerful Python library designed for creating interactive web user interfaces and showcasing machine learning demos quickly. This skill covers core patterns like Interface, Blocks, and ChatInterface, allowing users to build complex applications, components, and event-driven chatbots with minimal effort. Ideal for rapid prototyping and deep learning model visualization.

Hookify rules enable developers to define custom, event-driven workflows using Markdown files with YAML frontmatter. These rules monitor specific operational events (such as bash commands, file edits, or user prompts) and can trigger warnings or block operations when predefined regex patterns are matched. They are essential for enforcing coding standards, preventing dangerous operations, and guiding development adherence in complex software environments.

A type-safe, generics-first library for implementing ReactiveX streams in Golang. It provides declarative, composable pipelines for handling infinite, asynchronous data sources (like WebSockets or timers) with automatic backpressure, robust error propagation, and full Go context integration. Ideal for building real-time, event-driven architectures.

A comprehensive tool for planning and auditing programmatic SEO pages generated at scale from structured data sources (CSV, JSON, APIs). It guides best practices for designing templates, defining scalable URL systems, establishing internal linking strategies (Hub/Spoke), and implementing robust quality gates. Use this when ensuring content uniqueness, preventing thin content penalties, and mitigating risks associated with large-scale, data-driven content generation.