Skill UI

This guide demonstrates how to implement robust rate limiting and retry logic for critical healthcare APIs using a token bucket pattern. It covers managing specific service limits (e.g., clinical queries, evidence synthesis) and implementing strategies like exponential backoff and batch processing to ensure graceful degradation and reliable data retrieval in clinical decision support systems.

This guide provides a comprehensive roadmap for migrating and upgrading integrations with the OpenEvidence clinical AI platform. It addresses critical API changes, such as schema restructuring (e.g., flat answers to structured evidence), version detection, and updated citation formats. Developers can use this knowledge to implement robust migration logic, ensuring that downstream clinical applications maintain high levels of accuracy and safety when accessing evolving medical evidence.

This skill provides comprehensive tools to monitor the real-time availability, status, and performance of various large language models (LLMs) accessed via OpenRouter. It supports active health probes, catalog checks, and scheduled monitoring via Python and Bash, ensuring robust fault detection and failover logic for production systems that rely on external AI APIs.

This skill coordinates the complex parallel execution of end-to-end, integration, and unit tests across multiple frameworks (e.g., Jest, Playwright, pytest) and CI/CD environments. It manages test splitting, worker allocation, tiered execution strategies, and aggregates results into unified reports. Ideal for optimizing the testing lifecycle and ensuring robust quality assurance in large-scale, multi-component applications. Key functions include intelligent retry logic for flaky tests and building CI pipelines (e.g., GitHub Actions matrix).

This guide provides a comprehensive reference for diagnosing and fixing common errors and exceptions encountered when interacting with the Perplexity Sonar API. Use this when troubleshooting API integration issues, handling specific HTTP status codes (like 401, 429, 402), or debugging failed requests. It covers best practices for rate limiting, key validation, and implementing robust error handling logic.

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.

This comprehensive workflow guides developers through building a production-ready, full-stack web application entirely within the Replit environment. It covers setting up the entire architecture, including Express/Flask backend logic, robust PostgreSQL database integration for persistent data, implementing secure user authentication using Replit Auth, and managing file uploads via Object Storage. It is the definitive guide for launching a complex, scalable SaaS project from scratch.

This comprehensive guide details how to configure robust multi-environment deployments (Development, Staging, Production) within the Replit ecosystem. It covers best practices for database separation, managing environment-specific secrets, implementing reliable environment detection logic, and setting up CI/CD pipelines to ensure applications are stable and secure across all deployment stages.

Guides API integration teams through retry logic helpers, outlining patterns, best practices, production-ready code, and validation for webhooks, SDKs, OAuth, and third-party APIs.

This skill provides patterns and implementation templates for managing complex, long-running business processes across multiple independent services. It focuses on implementing the Saga pattern, ensuring data consistency in microservices architectures. It defines clear states, handles step execution, and crucially includes compensation logic to reliably roll back changes when any part of the workflow fails.

Guides building Apex logic, Lightning Web Components, SOQL tuning, integrations, and DX-powered deployments for Salesforce apps, with emphasis on bulk-safe, governor-friendly, and CI/CD-aware workflows.

A comprehensive tool for detecting critical API security vulnerabilities, including injection, broken authentication (BOLA), excessive data exposure, and mass assignment. It audits endpoints against the OWASP API Security Top 10 standards by analyzing source code, middleware chains, and request validation logic. Ideal for pre-deployment security gates, CI/CD integration, and compliance audits.