Skill UI

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.

Comprehensive skill guide for interacting with Amazon Aurora DSQL, a serverless, PostgreSQL-compatible distributed SQL database. Provides tools and best practices for schema management, executing transactions (DDL/DML), handling migrations, and implementing multi-tenant isolation patterns. Includes CLI scripts and MCP tools for database operations and setup.

This skill provides comprehensive tools and documentation for interacting with Amazon Aurora DSQL, a serverless, distributed SQL database. It covers schema management, complex query execution, safe data migrations, multi-tenant architecture patterns, and IAM-based authentication, making it ideal for developing scalable, distributed database applications.

A comprehensive skill for managing and interacting with Amazon Aurora DSQL, a serverless, PostgreSQL-compatible distributed SQL database. It covers direct query execution, robust schema management, safe data migration patterns, multi-tenant isolation, and secure IAM-based authentication. Utilize MCP tools and CLI scripts for full lifecycle database control.

This skill guide provides comprehensive tools and best practices for interacting with Amazon Aurora DSQL. It covers direct query execution, robust schema management, safe data migrations, and implementing multi-tenant isolation patterns in a distributed SQL environment. Use it when developing scalable or distributed database applications.

This guide details how to implement robust Role-Based Access Control (RBAC) for Flexport API integrations. It addresses enterprise needs by allocating scoped API keys and managing permissions at an application layer. Users can define specific roles (Viewer, Operator, Finance, Admin) with granular permissions, ensuring that different user roles can only access necessary endpoints, thereby enhancing security and supporting multi-tenant architectures.

A comprehensive guide to implementing production-ready patterns for interacting with the Klaviyo API via the Node.js SDK. This includes best practices for handling singleton sessions, creating type-safe API wrappers, implementing robust retry logic for rate limits, managing cursor-based pagination, and supporting multi-tenant environments. This ensures reliable and maintainable Klaviyo integrations.

This skill provides guidelines and mechanics for managing multi-tenant environments within KubeSphere. It focuses on the controlled creation and configuration of core resources—including workspaces, projects, and users—while strictly adhering to least privilege principles. It details the proper use of RBAC roles (Viewer, Regular, Admin) and guides users through the process of setting up organizational boundaries and access controls for secure, scalable deployment.

This skill defines canonical, ordered middleware patterns for LangChain and LangGraph agents. It addresses critical production-level LLM deployment issues, including PII leakage across tenants, token budget overconsumption, prompt injection defense (Guardrails), and cache key corruption. Use this to build secure, scalable, and cost-aware AI applications.

This skill integrates LangChain 1.0 and LangGraph 1.0 into standard OpenTelemetry (OTEL) backends (e.g., Jaeger, Honeycomb, Tempo). It solves critical observability gaps by ensuring correct prompt content capture, propagating spans across complex subgraphs, and providing five LLM-specific Service Level Objectives (SLOs) like latency and cost. Ideal for multi-tenant, compliance-sensitive, or existing OTEL stack environments where LangSmith is unsuitable.

A comprehensive technical checklist designed to ensure the robust, secure, and highly available operation of the MindTickle production integration. It covers critical areas including multi-tenant isolation, SCIM provisioning resilience, rate limit handling, and advanced error management to prevent data leaks or service disruptions.

This reference architecture details the design of a multi-tenant integration layer for the MindTickle sales enablement platform. It strictly enforces tenant data isolation across all components (database, cache, queue) to ensure that organizational data remains separate. The system manages user synchronization (via SCIM 2.0), tracks course progress, records quiz results, and aggregates team readiness reports, making it ideal for complex SaaS enterprise deployments.