Skill UI

Low-level SDK for creating and managing persistent AI agents with threads, messages, runs, and tools in Java. Provides sync and async clients, authentication via DefaultAzureCredential, and workflows for agent creation, thread management, messaging, run execution with polling, and cleanup. Includes error handling and best practices for production use.

Python SDK for Azure Key Vault to manage secrets, cryptographic keys, and certificates securely. Supports operations like set/get/delete secrets, create/manage keys, encrypt/decrypt/sign/verify, and certificate management. Includes async clients and error handling.

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.

Send custom logs to an Azure Monitor Log Analytics workspace with the Python Logs Ingestion API. Covers authentication, Data Collection Rules, batching, async clients, and error handling.

Detailed guidelines for production-grade backend development using Node.js, Express, TypeScript, and microservices. Covers layered architecture, error handling, dependency injection, validation, and observability with Sentry, Prisma, and Zod.

This skill provides idiomatic guidelines for Bash scripting, covering quoting, conditionals, loops, pipes, functions, and error handling. It helps avoid common anti-patterns like unquoted variables, parsing ls output, and improper error handling to ensure safe and efficient shell code.

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.

Master essential practices for writing robust, secure, and portable Bash scripts suitable for production environments, CI/CD pipelines, and critical system automation. This guide covers strict error handling, safe argument parsing, input validation, process orchestration, and cross-platform compatibility, ensuring scripts are resilient to unexpected inputs and failures.

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.

A comprehensive guide to implementing reliable, scalable, and resilient background job processing in Node.js/TypeScript using BullMQ and Redis. Covers advanced patterns such as delayed jobs, repeatable scheduling, job dependencies (flows), rate limiting, robust error handling, and graceful worker shutdown, ensuring production-grade async execution.

This skill provides comprehensive guidelines for writing idiomatic and efficient C code. It covers critical topics such as memory management, pointer usage, error handling, string manipulation, and struct definitions. The guide emphasizes safety practices like checking malloc returns, avoiding buffer overflows, and using proper error codes. It also highlights common anti-patterns to avoid, ensuring robust and maintainable software development in the C language.

Provides expert review and implementation of C systems code with explicit memory ownership, pointer bounds, error handling, and measured performance. Covers POSIX compliance, embedded systems, multithreading, and debugging with valgrind and gdb.