Skill UI

A structured playbook for rapidly diagnosing and resolving production incidents related to Lokalise localization services. It guides users through essential quick diagnostics (API health, token validity, rate limits) and provides a decision tree for common failure modes, such as missing or stale translations, API outages, and upload failures, ensuring swift mitigation and postmortem readiness.

A comprehensive guide for configuring localization services (Lokalise) across multiple deployment environments (development, staging, production). It details two strategies: dedicated projects or single-project branching. Focuses heavily on secure secret management using tools like AWS Secrets Manager, GCP Secret Manager, and HashiCorp Vault, ensuring that environment-specific configurations and translations remain isolated throughout the CI/CD pipeline.

This SDK provides comprehensive tools for developing enterprise-grade, multi-channel agents for the Microsoft 365 ecosystem. Utilizing ASP.NET Core hosting, it supports integration with Teams, Copilot Studio, and general M365 services. Key features include robust agent application routing, structured state management, and secure authentication using MSAL.

Develop robust, multi-channel enterprise agents designed for the Microsoft 365 ecosystem, including Teams and Copilot Studio. This SDK provides a comprehensive Python framework featuring aiohttp hosting, advanced AgentApplication routing, real-time streaming responses, and secure authentication via MSAL. Ideal for building sophisticated, production-grade bots and automation tools that integrate deeply with enterprise Microsoft services.

A comprehensive guide to setting up a local development loop for building and testing MaintainX integrations. This workflow utilizes TypeScript, hot reloading, mock API servers, and automated unit/integration testing. It provides a sandboxed environment for developers to efficiently develop and debug their services.

This skill provides a comprehensive guide to implementing observability for MaintainX API integrations. It covers best practices for structured logging, Prometheus metrics collection (Counters, Histograms, Gauges), API request tracing using Axios interceptors, and setting up health and alerting endpoints. Use this when you need to monitor API reliability, detect performance degradation, and ensure rapid issue detection in your connected services.

This guide details the process of building Model Context Protocol (MCP) servers. These servers are crucial for enabling Large Language Models (LLMs) to interact with external APIs and services, facilitating complex, real-world task completion. It provides comprehensive coverage on architectural planning, choosing appropriate languages (Python, TypeScript, C#), and selecting transport mechanisms (HTTP, stdio) for robust integration within enterprise ecosystems like Azure and Foundry.

Guides plugin developers through integrating Model Context Protocol (MCP) servers into Claude Code, covering configuration files, server types (stdio, SSE, HTTP, WS), environment variables, and authentication so external services appear as structured tools.

Automated memcached configuration assistant that provides best-practice guidance and production-ready snippets for caching, database, messaging, and microservices patterns in backend services.

Guides distributed system architecture by decomposing monoliths, defining bounded contexts, selecting communication protocols, and recommending resilience, observability, and deployment strategies for cloud-native microservices.

Guides designing robust microservices with service boundaries, event-driven communication, saga orchestration, API gateways, health checks, and anti-pattern awareness for resilient distributed systems.

This skill provides a comprehensive framework for mastering microservices architecture patterns. It covers critical aspects of building robust, distributed systems, including defining service boundaries (Domain-Driven Design), managing inter-service communication, handling distributed data transactions, and implementing various resilience patterns (e.g., circuit breaker, circuit breaker). It is essential for large-scale system decomposition.