Skill UI

This skill acts as an expert architect for scaffolding robust, production-ready applications using TypeScript. It generates complete, structured project templates for various types, including Next.js full-stack apps, React/Vite SPAs, and Node.js APIs. It incorporates modern tooling like pnpm, Vite, and Next.js features, ensuring type safety, proper dependency management, comprehensive testing setups, and adherence to current industry best practices. Use it to accelerate project setup and maintain scalable architecture.

Automates Jenkins Pipeline introductory tasks within the DevOps Basics domain, offering best-practice patterns, production-ready configs, and validation for foundational CI/CD, version control, and containerization workflows.

Provides automated guidance and code generation for Jest-based test automation, covering unit, integration, mocking, and configuration patterns to ensure production-ready suites.

Automates JMeter test plan creation and validation for load, stress, and benchmarking scenarios; triggers whenever you request the jmeter test plan creator and delivers production-ready configs aligned with best practices.

Automates json config manager workflows in DevOps basics by offering guidance, industry best practices, production-ready configs, and validation across version control, containerization, CI/CD, and infrastructure fundamentals.

This guide details the setup and management of the Juicebox AI platform across multiple isolated environments: Development, Staging, and Production. It ensures workspace isolation, controls data access, and maintains data integrity by differentiating sample datasets (Dev), full datasets with restricted exports (Staging), and full-featured production environments. Follow this workflow to safely deploy and test analyses from development to live production.

This comprehensive checklist guides the operational validation of the Juicebox AI talent search and analysis platform in a production environment. It ensures system reliability, data security, and service continuity by reviewing critical areas such as API key management, rate limit handling, robust error detection (circuit breakers, exponential backoff), data encryption (GDPR/CCPA compliance), and comprehensive monitoring setup. It is essential for preventing service failures and maintaining search data integrity.

A comprehensive guide and expert resource for mastering Julia 1.10+ development. Covers advanced topics including multiple dispatch, performance optimization, type stability, and modern tooling. Ideal for building production-ready applications in scientific computing, machine learning, data science, and web development.

Automated guidance for jwt token validator tasks within the Security Fundamentals domain, offering step-by-step help, industry best practices, and production-ready code/configuration generation when you mention jwt token validator or seek secure authentication patterns.

Auto-activating helper that provides step-by-step guidance, best practices, and validation for generating production-ready k6 load test scripts, configs, and benchmarking workflows.

This skill provides step-by-step guidance for creating production-ready Kubernetes manifests. It covers essential resources including Deployments, Services, ConfigMaps, Secrets, and PersistentVolumeClaims. Use this skill when defining complete, robust containerized application architectures, managing network connectivity, stateful workloads, and ensuring adherence to Kubernetes best practices like resource limits and security contexts.

Provides automated guidance and production-ready artifacts for key rotation manager workflows within advanced security scenarios.