Skill UI

This skill generates client SDK code, API wrapper libraries, and request/response models for any REST API. It supports multiple programming languages like Python and TypeScript, providing structured patterns for authentication, error handling, and pagination. Ideal for developers needing to integrate third-party APIs quickly with production-ready code structures.

Workflow for assessing REST and GraphQL API security, covering discovery, authentication, authorization, input validation, rate limiting, GraphQL testing, error handling, and reporting.

This skill enables Real User Monitoring (RUM) for browser and web applications using the Application Insights JavaScript SDK. It tracks page views, clicks, AJAX dependencies, exceptions, and custom events. Supports React, Angular, and React Native instrumentation. Includes GenAI agent traces with backend correlation. Ideal for frontend performance and error tracking in TypeScript projects.

Autonomous agents are AI systems capable of independently decomposing goals, planning actions, executing tools, and self-correcting without constant human guidance. This skill focuses on ensuring reliability in agent loops like ReAct and Plan-Execute, emphasizing goal decomposition and reflection patterns. It highlights that compounding error rates can kill autonomy, advocating for constrained, domain-specific agents over general autonomy. Build for reliability first.

Provides Java SDK guidance for Azure AI Foundry project management, including connections, datasets, indexes, deployments, and evaluations, with authentication and error handling examples.

This skill provides a Java SDK client library for sending custom logs to Azure Monitor via Data Collection Rules (DCR) and Data Collection Endpoints (DCE). It covers installation, client creation, synchronous and asynchronous uploads, error handling, and best practices for ingestion.

This Python SDK enables developers to send custom logs to Azure Monitor Log Analytics workspaces using the Logs Ingestion API. It supports authentication via DefaultAzureCredential, handles async/sync uploads, manages batching, and includes error handling for partial failures. Ideal for cloud observability and log management workflows.

This skill provides guidelines for senior backend engineers building production-grade services using Node.js, Express, and TypeScript. It covers layered architecture, error handling, validation with Zod, configuration management, and directory structure to ensure maintainability and reliability.

Comprehensive guidelines for writing efficient and secure Bash scripts. Covers quoting, conditionals, loops, error handling, and common anti-patterns to ensure idiomatic coding standards and best practices in shell scripting.

This guide provides comprehensive techniques for writing highly robust, production-grade Bash scripts. It covers advanced error handling, input validation, and safety best practices essential for building reliable CI/CD pipelines, system administration utilities, and mission-critical automation scripts that must handle edge cases gracefully.

Essential Bash and Linux/macOS terminal patterns for command chaining, file and process management, text processing, networking, scripting, and robust error handling.

A phased workflow for building production-ready Bash scripts with defensive patterns, strict mode, structured logging, trap-based error handling, rollback, ShellCheck linting, and Bats tests.