Skill UI

This comprehensive runbook provides step-by-step procedures for rapidly responding to Perplexity API outages and service degradations. It covers initial triage (checking models, auth, DNS), handling common errors (401, 429, 500/503), implementing fallbacks, and structured post-incident activities, including evidence collection and postmortem documentation.

This guide provides robust, production-ready strategies for integrating with the PostHog API. It teaches developers how to handle API rate limits (429 errors) gracefully using exponential backoff and retry logic. Furthermore, it covers implementing request queuing for burst protection, optimizing with data caching, and monitoring rate limit headers, ensuring stable and reliable data ingestion regardless of traffic volume.

A comprehensive guide covering critical pitfalls and best practices for writing robust PowerShell scripts on Windows. It details essential rules for operator syntax (parentheses), safe path handling, null checking, advanced error management (try/catch), and correct JSON serialization, ensuring your automation code is highly reliable and maintainable.

An end-to-end workflow for building robust, production-ready Python backend APIs. This guide covers all stages, including project scaffolding, SQLAlchemy database integration, Pydantic validation, implementing JWT/OAuth2 authentication, comprehensive error handling, unit testing, and Docker deployment for modern microservices.

A concise collection of idiomatic Python best practices—from readability and explicit configuration to type hints, error handling, and context managers—aimed at building robust, maintainable applications.

A comprehensive skill set for building robust, type-safe, and highly performant Python 3.11+ applications. This specialist enforces best practices by generating type-annotated code, utilizing async/await patterns, structured dataclasses, and comprehensive error handling. The workflow mandates rigorous validation using tools like mypy (strict mode), black, ruff, and extensive pytest test suites to ensure code quality and reliability.

Highlights React 19 idioms such as the new use() hook, server components, server actions, optimistic updates, suspense, error handling, and compound hooks to structure Next.js apps with streaming data, interactivity, and reusable hooks.

A comprehensive guide to modern React UI patterns. It covers best practices for managing application states, including determining when to use skeleton loaders vs. spinners, implementing robust error handling hierarchies (inline, toast, banner), and designing effective empty states. Essential for building high-quality, user-friendly components that handle asynchronous data gracefully.

This guide provides production-ready coding patterns for interacting with various built-in Replit services. It covers best practices for setting up singleton clients, implementing robust error handling, and creating type-safe wrappers for Key-Value Database, Object Storage, PostgreSQL, and Auth middleware. Ideal for developers building complex Replit integrations or establishing standardized data access layers.

This skill provides implementation patterns and comprehensive troubleshooting guides for building advanced voice agents and automating phone call systems using the Retell AI SDK. It covers best practices for API integration, handling common errors (like 401 Unauthorized or 429 Rate Limited), and optimizing telephony workflows.

This skill provides comprehensive patterns for data handling and integration with Retell AI. It is designed for developers building advanced voice agents, automating phone calls, or working with complex telephony systems. The guide covers SDK usage, agent listing, and robust error handling, ensuring reliable implementation of voice AI applications.

This skill provides implementation patterns for developing local voice agents and automating phone calls using the Retell AI SDK. It guides developers through the necessary steps for integrating complex real-time voice interactions, telephony platforms, and building automated customer service agents, ensuring robust development and error handling practices.