Skill UI

A comprehensive guide for configuring and managing organization-level access control within the Anthropic ecosystem. It details Workspaces setup (Production, Staging, Development), defines roles (Owner, Admin, Developer), and provides best practices for API key management. Includes practical Python code examples for implementing application-level Role-Based Access Control (RBAC) to restrict model access and usage limits.

This module provides structured implementations of critical reliability patterns (Circuit Breaker, Graceful Degradation, Idempotency) for integrating with the Claude API. It helps developers build resilient, production-grade applications that can handle transient failures, rate limits, and service outages without failing completely, significantly enhancing system stability and user experience.

This resource provides production-ready architectural patterns for integrating Anthropic's Claude models using TypeScript and Python. It covers robust client wrappers, managing multi-turn conversations, enforcing structured JSON output via prefilling, and implementing multi-tenant architectures. Essential for building reliable, enterprise-grade AI applications.

A comprehensive guide to building robust, production-ready applications using the Apify SDK and apify-client in TypeScript. Covers advanced topics like standardized client singleton patterns, selecting the right Crawlee crawler (Cheerio, Playwright, Puppeteer), implementing robust Actor lifecycles, and managing dataset/key-value store operations.

A comprehensive checklist to ensure that any AppFolio API integration is robust, secure, and compliant before deployment to a live production environment. It covers critical areas including secret management, rate limit handling, data validation (especially PII/CCPA compliance), and setting up comprehensive monitoring and alerting for mission-critical functions like rent collection and work order processing.

This SDK provides production-ready TypeScript patterns for integrating with the AppFolio property management REST API. It includes a singleton client for centralized credential management, robust error wrappers (handling 429 rate limits and 401 auth errors), a flexible query builder for filtering data, and structured interfaces for core entities like Properties, Tenants, and Leases. Use it to build reliable, scalable automation workflows for real estate operations.

This guide provides a comprehensive observability stack for Apple Notes on macOS. Since Notes lacks a built-in metrics API, this solution demonstrates how to monitor key health indicators—such as note/folder counts, system latency, and iCloud sync daemon status—by polling via JXA and Bash scripts. It includes scripts for scheduled health checks, trend visualization, and robust error handling for production monitoring environments.

This comprehensive checklist guides the secure and robust deployment of AssemblyAI transcription services to a live production environment. It covers critical pre-deployment checks, health monitoring implementations, webhook-based processing setup, and gradual rollout strategies, ensuring high availability and reliability for mission-critical speech-to-text functions.

This guide provides production-ready architectural patterns for integrating the AssemblyAI SDK in TypeScript and Python. It details best practices including implementing Singleton clients, robust service wrappers, advanced error handling (like exponential backoff retries), and multi-tenant client management. Use this when building highly scalable and reliable speech-to-text applications.

Provides comprehensive security best practices for integrating AssemblyAI into production applications. This guide covers secure API key management (using environment variables), generating temporary tokens for browser streams, implementing PII redaction, managing data retention, and enabling content safety checks for compliance and security.

This guide provides comprehensive instructions for deploying applications integrated with BambooHR to various modern cloud platforms, including Vercel, Fly.io, and Google Cloud Run. It covers crucial steps such as setting up platform-specific secrets, configuring webhooks, establishing health check endpoints, and optimizing the entire deployment pipeline for robust, production-grade reliability.

This module provides production-ready, type-safe patterns for interacting with the BambooHR REST API, supporting TypeScript and Python. It wraps raw HTTP calls into robust, retry-aware clients, handling complex tasks like error management and multi-tenancy. Use this when building reliable, enterprise-grade integrations with BambooHR.