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.

Guides automated bottleneck identification within performance testing, offering step-by-step advice, auto-generated configurations, validation against standards, and coverage of load, stress, benchmarking, and monitoring workflows.

Maps architectural components within a codebase, computes statement-based size metrics, flags oversized or undersized modules, and generates an inventory to guide decomposition planning.

This skill guides the execution of development tasks defined in a structured implementation plan, strictly following the Test-Driven Development (TDD) workflow. It manages the entire development lifecycle, including pre-flight checks, context loading, task identification, writing failing tests, implementing minimal code, refactoring, committing changes, and performing phase-wise verification. Ideal for managing complex, structured software development projects.

This comprehensive guide details how to install and configure the Customer.io SDK for programmatic integration in Node.js projects. It covers the critical setup of authentication using two distinct API keys: the Track API Key (for user identification and event tracking) and the App API Key (for sending transactional messages and broadcasts). Essential for developers integrating Customer.io's core customer data and marketing features.

This guide provides minimal working examples for Deepgram speech-to-text transcription. It demonstrates how to transcribe audio from a URL or a local file using both TypeScript and Python. Users can learn basic API patterns, implement advanced features like diarization (speaker identification), and compare various model options (e.g., nova-3, nova-2). Ideal for initial integration and testing.

Groups existing components into logical business domains, clarifying responsibilities and namespace placements to guide service-based architecture planning and refactor proposals.

This comprehensive guide defines the secure data lifecycle management for OpenEvidence, an AI-powered platform for clinical evidence synthesis. It outlines data classification (e.g., clinical queries, patient responses), strict adherence to global regulations (HIPAA, GDPR, FDA), and technical requirements for handling Protected Health Information (PHI). Key processes include PHI de-identification, data validation, secure API integration, and compliant data export, ensuring the system maintains the highest level of patient privacy and regulatory compliance.

Provides a structured workflow to analyze and improve application performance across frontend, backend, and database layers, including profiling, bottleneck identification, optimization tactics, and validation steps.

This guide provides minimal working examples demonstrating the three core PostHog functionalities: event capture, user identification, and feature flag evaluation. It covers both server-side (Node.js, Python) and client-side (JavaScript) SDK usage, as well as direct API calls, making it perfect for initial integration setup, testing, and learning basic product analytics patterns.

A comprehensive guide for implementing ISO 14971:2019 risk management across the entire medical device lifecycle. Covers planning, hazard identification, risk analysis (FMEA, FTA), risk evaluation, risk control, and post-market surveillance. Essential for achieving regulatory compliance in medical device development.