Skill UI

A comprehensive guide detailing three scalable architecture patterns for integrating applications with HubSpot CRM. It helps developers choose the optimal design based on project scale, ranging from simple embedded clients for MVPs, to robust Service Layers with caching and async queues, up to dedicated, enterprise-grade API Gateways for multiple services. Essential for planning complex, high-volume integrations.

Use this guide when designing a robust, production-grade integration with the Navan API. It details a multi-layered architectural blueprint, including an API Gateway for rate limiting and circuit breaking, a centralized OAuth Token Management Service, secure data synchronization pipelines, and comprehensive monitoring stacks. Ideal for complex enterprise systems requiring reliable connectivity to travel and expense data.

A comprehensive guide for performing end-to-end (E2E) and integration testing on the Nexu → OpenClaw gateway stack. It details the architectural constraints and viable testing methods, emphasizing the use of Vitest for reliable internal function testing (e.g., skill snapshotting, session store logic). Use this when verifying core gateway fixes, testing skill loading after restarts, or simulating complex operational scenarios.

This skill provides a comprehensive Python guide to building a production-ready Virtual Cloud Network (VCN) on Oracle Cloud Infrastructure (OCI). It details the entire process from scratch, including creating the VCN, setting up Internet and NAT Gateways, configuring route tables, and defining Network Security Groups (NSGs). This is essential for engineers needing to provision complex, secure, and highly functional network architectures for development or production use.

Provides a comprehensive, production-ready standard 3-tier reference architecture for Oracle Cloud Infrastructure (OCI). The design covers essential components like VCN, public/private subnets, Internet Gateway, NAT Gateway, Service Gateway, and Autonomous Database. It includes deployment steps using Terraform and OCI SDK Python code, making it ideal for designing new cloud environments or migrating existing patterns from other major cloud providers.

Provides comprehensive architectural guidelines for building scalable Webiny admin extensions. This pattern addresses separating business logic (headless features: UseCase/Repository/Gateway) from presentation logic (Presenters/Hooks/Components). It covers the standardized directory structure and layering necessary for creating robust, maintainable, and highly modular administrative interfaces.

This skill guides users through connecting external services, proprietary APIs, or custom tools to the Digital Marketing Pro plugin. It manages the entire integration lifecycle: searching the npm registry for pre-built packages, generating complex MCP JSON configurations, handling environment variables, and executing connectivity tests. Essential for expanding plugin functionality with external data sources like CRM, payment gateways, or specialized analytics platforms.

A comprehensive skill for managing KubeSphere's external access gateway using ingress-nginx. It supports cluster, workspace, and project-level ingress setup, covering installation planning, status monitoring, upgrade management, and graceful uninstallation across multiple Kubernetes clusters.

Guide the configuration, connection, validation, and repair of Claude Desktop and MCP servers using Desktop Commander. Inspect and fix mcp.json and configuration files, troubleshoot connection issues, verify model/API keys, and cover local AI gateways like OpenClaw and Hermes.

Discover, name, and label every LLM workflow in a repository for Caveman Cloud. Helps break LLM spend down by workflow instead of one bucket. Inventory code paths, propose a labeling table, wire gateway labels, and verify changes through the user's normal review.

Wire a repository through the Caveman Cloud gateway so every LLM request is measured with no behavior change. Provides step-by-step integration for OpenAI, Anthropic, Vercel AI SDK, LangChain, LiteLLM, and raw HTTP callsites, with secure secret handling and an observed verification report.