Skill UI

A comprehensive reference architecture guide for deploying and managing CAST AI across multiple Kubernetes clusters (Dev, Staging, Prod). It details best practices for infrastructure provisioning using Terraform, focusing heavily on cost optimization techniques such as autoscaling, spot instance management, and environment-specific resource policies. Ideal for setting up team standards and ensuring reliable, cost-effective deployments.

This comprehensive guide provides advanced workflows for interacting with ClickHouse. It covers efficient bulk data insertion (CSV, JSON), complex analytical querying (funnel analysis, retention), implementing materialized views for pre-aggregation, and utilizing powerful window functions. Ideal for building high-performance OLAP dashboards and executing large-scale data transformations.

This comprehensive guide presents three validated architectural blueprints for integrating Adobe services (Firefly, PDF, etc.). It helps developers decide between simple direct SDK integration (suitable for MVPs), native Adobe App Builder (serverless functions), or robust, high-throughput dedicated microservices, based on team size, complexity, and required scalability.

Comprehensive solution for conducting load testing, performance benchmarking, and auto-scaling setup for various Adobe APIs (Firefly, PDF Services, Photoshop). This guide utilizes k6 for stress testing, simulating real-world user traffic, and includes Kubernetes HPA configuration to ensure the application maintains high availability and stability under peak loads.

A comprehensive guide and set of scripts for performing load testing and capacity planning for Anthropic's Claude API. This resource helps developers benchmark performance, anticipate traffic spikes, manage rate limits (RPM/ITPM/OTPM), and implement robust horizontal scaling strategies for mission-critical AI services using Python.

Provides validated architectural patterns for integrating Claude API into production systems. Learn to implement synchronous API gateways, scalable asynchronous queue-based processing, and multi-model routing strategies. This guide helps developers design robust, high-volume, and fault-tolerant AI applications.

Learn production-grade, scalable architectural patterns for building robust scraping systems using Apify. This guide details structures for standalone scrapers, complex multi-stage pipelines (Discover, Scrape, Transform), and integrating Apify into full-stack applications for powerful data extraction.

This guide details how to configure and implement Apify webhooks for robust, event-driven data pipelines. Learn to receive real-time notifications when Actor runs start, succeed, fail, or time out. By supporting both persistent (all runs) and ad-hoc (single run) webhooks, this pattern is ideal for building highly reliable and scalable production scraping integrations.

This guide addresses the performance degradation when automating Apple Notes, especially with large note collections (10,000+). It details architectural patterns, caching strategies, and scripting best practices (like batch processing and incremental sync) to prevent bottlenecks caused by excessive IPC calls, ensuring automation remains responsive at scale.

A comprehensive, production-ready reference architecture for building robust, scalable transcription services using AssemblyAI. This guide demonstrates best practices for layered system design, covering API endpoints, service logic, client management, and infrastructure integration (webhooks, database). It is ideal for designing new high-throughput speech-to-text applications.

This document details a production-grade, layered reference architecture for integrating external systems with Attio CRM using its REST API. It covers essential patterns like webhook-driven data synchronization, idempotent upsert handling, multi-tenant isolation, and robust error management. This guide ensures data freshness and scalability for complex, bi-directional CRM data flows.

This skill helps test the robustness of an AI agent's authorization mechanisms. Use it when the agent handles user roles, permissions, or sensitive data (e.g., admin functions, cross-tenant data). It simulates attempts to bypass authentication, escalate privileges, or access data belonging to other users or tenants.