Skill UI

A comprehensive guide to implementing production-ready patterns for PostHog analytics integration. This includes establishing singleton clients for both server-side (Python/Node) and client-side environments. It provides type-safe event capture utilities, React hooks for handling feature flags (including variants), and the full Next.js App Router setup for robust pageview tracking. Patterns are available for both TypeScript/JavaScript and Python environments.

Blueprint skill describing the architecture, stack, folder layout, API patterns, and testing/deployment workflows used by the Zenith AI customer discovery platform clade. Use it as a reference when working on this dedicated project to understand expectations for frontend, backend, AI integration, and QA.

Guides adding PyTorch FSDP2’s fully_shard integration to training loops, covering correct distributed init, bottom-up sharding, mixed precision/offload policies, DTensor-aware optimizers, and distributed checkpointing so oversized models or DeviceMesh sharding goals work reliably.

This comprehensive guide details how to configure a complete Continuous Integration and Continuous Deployment (CI/CD) pipeline for Replit applications using GitHub Actions. Learn to connect your GitHub repository, set up automated testing on pull requests, perform post-deployment health checks, and ensure reliable, automated deployment whenever code is pushed.

This comprehensive skill manages the full lifecycle deployment of applications on the Replit platform. It supports three key deployment types: Static (for frontends), Autoscale (for variable APIs), and Reserved VM (for always-on services). Use this for configuring production environments, setting up custom domains, implementing health checks, managing environment secrets, and optimizing scaling strategies.

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.

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.

Automates guidance for building SDK wrappers within API integration workflows, offering best-practice patterns, code scaffolding, validation, and configuration details to streamline third-party API, webhook, and OAuth onboarding.

This guide provides comprehensive steps to diagnose and fix the most frequent Sentry SDK integration issues. It covers critical topics such as DSN validation, missing event capture, source map failures, rate limiting, and proper flushing patterns in Node.js, Python, and serverless environments. Use this when your error monitoring system is not working as expected.

A comprehensive collection of diagnostic scripts designed for troubleshooting Sentry integration failures. This bundle collects SDK versions, runtime configuration details (e.g., DSN, environment), and performs network connectivity checks to the Sentry ingest endpoint. Use it when events are not appearing in Sentry, or when systematically diagnosing complex setup issues across Node.js and Python environments.

This guide details advanced patterns for building fault-tolerant Sentry integrations. It addresses critical real-world failure points, such as SDK initialization failures, network outages, and abrupt process shutdowns. By implementing graceful degradation, circuit breakers, and durable offline queuing, applications can ensure core functionality remains online and stable, even when the external error tracking service is unreachable or degraded.