Skill UI

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 quick reference guide for troubleshooting and resolving common HTTP errors (4xx, 5xx) encountered when integrating with the MaintainX API. It provides detailed root causes, diagnostic commands (using curl/jq), and specific fixes for various status codes, such as 400 Bad Request, 401 Unauthorized, 429 Rate Limit, and 500 Internal Server Error, ensuring stable application integration.

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.

Used for building, debugging, and extending MCP servers and clients. This skill implements robust connections between AI systems and external tools/data sources using structured protocols like JSON-RPC 2.0. Expertise includes defining tool schemas (Zod/Pydantic), configuring transport layers (HTTP/SSE/stdio), and scaffolding full-stack projects in TypeScript or Python.

This skill guides the integration of Model Context Protocol (MCP) into Claude Code plugins. It enables plugins to securely connect to external services, APIs, databases, and file systems by exposing capabilities as structured tools. Supports multiple connection methods (stdio, SSE, HTTP, WebSocket) and handles complex authentication flows like OAuth and token-based access for robust tool access.

Automates comprehensive monitoring and alerting of HTTP, database, API, background job, and client errors so teams can track, analyze, and resolve reliability issues before they impact users.

Guides writing JavaScript inside n8n Code nodes, covering modes, data access patterns, webhook structure, return formats, helper utilities, and best practices for HTTP requests and DateTime handling.

Operation-aware guidance for n8n nodes that clarifies required fields, property dependencies, and get_node detail modes, helping builders configure HTTP, Slack, and other integrations through progressive validation.

Hands-on lab guide to configuring HTTP, HTTPS, SNMP, and SMB services for pentesting, covering setup, firewall rules, enumeration tools, and log inspection in controlled environments.

This guide provides a comprehensive reference for diagnosing and fixing common errors and exceptions encountered when interacting with the Perplexity Sonar API. Use this when troubleshooting API integration issues, handling specific HTTP status codes (like 401, 429, 402), or debugging failed requests. It covers best practices for rate limiting, key validation, and implementing robust error handling logic.

A comprehensive guide and implementation examples for handling API rate limits (HTTP 429) when interacting with the Perplexity Sonar API. This resource provides multiple robust techniques, including exponential backoff with jitter, queue-based rate limiting, and custom Token Bucket implementation, ensuring reliable and high-throughput API calls for developers using TypeScript and Python.

Showcases modern Python practices, covering strict 3.12 type hints, dataclasses vs Pydantic decisions, asyncio/httpx patterns, src-layout projects, pyproject tool configs, virtual env workflows, and pytest guidance for reliable codebases.