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Test Data Builder Guidance auto-activates when you ask about test data strategies, best practices, or configuration for automation frameworks, delivering step-by-step patterns, production-ready samples, and validation against common standards.

Auto-activating guidance for enforcing test naming conventions across unit, integration, and mocking workflows in test automation projects, ensuring standards and generating ready-to-run code.

Execute end-to-end automated testing for mobile applications across both iOS and Android platforms. This skill simulates real user interactions, covering UI flows, gestures (swipe, pinch), form validation, and platform-specific behaviors (e.g., Safe Area handling, Android back button logic). It supports industry-standard frameworks like Appium, Detox, and Maestro, making it essential for ensuring cross-platform quality assurance and robust CI/CD pipelines.

Assists with API integration timeout handler tasks by auto-activating on relevant triggers, explaining best practices, and generating production-ready code/configurations validated against common standards.

A comprehensive framework guiding feature planning and implementation through adaptive phases: Specify, Design, Tasks, and Execute. It enforces highly structured development practices by using EARS notation, atomic tasks, deterministic Conventional Commits, and mandatory code validation scripts. Features include requirement traceability, automatic verification, and a self-improving lessons layer, ensuring quality and compliance throughout the lifecycle.

Analyzes token implementations and integrations with ERC20/ERC721 standards, checks 20+ weird token patterns, assesses owner privileges, contract composition, and on-chain scarcity to highlight risks before deployment.

This guide provides production-ready patterns for implementing the TwinMind AI memory and meeting intelligence REST API. It covers best practices for authentication, storing contextual memories, searching knowledge bases, and processing meeting transcripts to extract actionable insights. Use this when building robust, scalable AI-powered applications or standardizing team coding practices.

This guide details how to handle critical TwinMind meeting events, including transcription completion, automated action item extraction, and calendar synchronization notifications. It is essential for developers implementing robust webhooks or managing advanced AI operations within a corporate meeting workflow using services like GPT-4, Claude, or Gemini.

An expert specialist for rigorous visual validation, focusing on UI testing, design system compliance, and WCAG accessibility verification. This skill systematically analyzes visual evidence for cross-platform consistency, pixel-perfect accuracy, and adherence to modern design standards, utilizing principles from visual regression testing and comprehensive QA methodologies.

Automates creation of unittest-based test suites by guiding developers through industry best practices for unit and integration testing, mocking, and framework setup while validating outputs against common standards.

Neon is a robust serverless Postgres platform that separates compute and storage, offering advanced features like autoscaling, branching, and instant restore. This guide provides comprehensive resources on setting up, connecting to, and utilizing Neon databases. It is fully compatible with standard Postgres and integrates seamlessly with various languages, ORMs, and developer tools for robust data management.

This tool rigorously validates API schemas against industry standards, including OpenAPI 3.0/3.1, JSON Schema, and GraphQL SDL. It performs structural analysis to detect incomplete schemas, inconsistent naming, undocumented endpoints, and critical breaking changes. Use it within your CI/CD pipeline to ensure API contracts are robust, compliant, and maintainable before release.