Skill UI

This library provides essential common utilities for Azure Communication Services (ACS) development in Java. It handles robust authentication mechanisms, including token credential management (supporting static, proactive refresh, and Azure AD/Entra ID integration), and standardized identification for various communication endpoints. Use it to ensure reliable, secure, and cohesive communication interactions across your applications.

This library provides essential common utilities for Azure Communication Services (ACS) development in Java. It handles robust authentication mechanisms, including token credential management (supporting static, proactive refresh, and Azure AD/Entra ID integration), and standardized identification for various communication endpoints. Use it to ensure reliable, secure, and cohesive communication interactions across your applications.

BusyBox is a single, portable binary that implements a vast collection of common Unix utilities (such as ls, grep, sed, etc.). This skill allows users to run standard Unix command-line tools directly within a Windows environment, solving compatibility issues for developers and system administrators who rely on cross-platform scripting. It provides necessary Unix functionality without requiring a full Linux subsystem.

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.

A comprehensive guide to essential Bash and Linux command patterns for macOS and Linux systems. Covers fundamental scripting concepts, including command chaining (&&, ||), file operations (find, grep, sed, awk), process management, text processing, environment variable handling, and network utilities (curl). Ideal for automating system tasks and improving command-line efficiency.

This guide provides comprehensive patterns and best practices for writing robust unit tests for shell scripts using Bats (Bash Automated Testing System). It is ideal for developers implementing Test-Driven Development (TDD) for shell utilities, setting up robust automated testing in CI/CD pipelines, and validating edge cases and error conditions in shell environments.

This skill helps manage and optimize resource usage and API costs within Evernote integrations. It provides utilities for monitoring monthly upload quotas, compressing images, resizing large files, and performing storage cleanup to prevent exceeding account limits and ensuring efficient data handling.

A comprehensive toolkit designed to debug and troubleshoot Evernote API integrations. It provides deep logging of requests, responses, and timings. Features include an instrumented client wrapper for zero-config tracing, ENML content validation with auto-fix capabilities, and token inspection utilities to diagnose connectivity issues and quota limits.

This guide provides comprehensive strategies and TypeScript implementations for managing rate limits when interacting with the Juicebox AI API. It includes a token bucket rate limiter class, a robust retry mechanism for handling 429 errors and transient failures, and utilities for efficient batch processing of large datasets. Use this when building high-throughput applications that rely on Juicebox data analysis or enrichment endpoints.

A comprehensive, production-ready toolkit for robustly debugging and monitoring Linear API integrations. This bundle includes features like an instrumented client wrapper for detailed request/response logging, a performance request tracer with summary statistics (avg, p95, max latency), a health check utility, and an environment validator. Ideal for developers setting up logging, performance monitoring, or debugging utilities in a live SaaS environment.

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.

This skill provides production-ready patterns for integrating with the Perplexity Sonar API in both TypeScript and Python. It covers best practices for creating robust wrappers around the standard OpenAI client, including dedicated handling for citations, search results, and related questions. It also includes essential utilities like implementing exponential backoff for reliable retries. Use this when setting up complex search-augmented generation workflows or standardizing team coding practices around Perplexity usage.