مرور مهارت‌ها

Build scalable design systems with design tokens, theming infrastructure, and component architecture patterns. Use when creating design tokens, implementing theme switching, building component libraries, or establishing design system foundations.

Build MCP servers in Python with FastMCP to expose tools, resources, and prompts to LLMs. Supports storage backends, middleware, OAuth Proxy, OpenAPI integration, and FastMCP Cloud deployment. Prevents 30+ errors. Use when: creating MCP servers, or troubleshooting module-level server, storage, lifespan, middleware, OAuth, background tasks, or FastAPI mount errors.

Comprehensive checklist for releasing OSS projects. Covers security (CSP, PII, secrets), legal compliance (licenses, API terms, trademarks), privacy (GDPR, telemetry opt-out), and documentation. Use when preparing to open source a project, adding telemetry/error monitoring, auditing dependencies, or creating privacy policies.

This skill provides comprehensive Drizzle ORM patterns for PostgreSQL with Vercel Edge Runtime support. Drizzle is Quetrex's chosen ORM because it's edge-first, type-safe, and supports all deployme...

Deploy Coolify self-hosted PaaS for application hosting. Covers VM provisioning, installation, GitHub integration, and application deployment with auto-SSL.

Queries Tilt resource status, logs, and manages dev environments. Use when checking deployment health, investigating errors, reading logs, or working with Tiltfiles.

Template for chaining multiple MCP tools in a single script

Expert in building comprehensive AI systems, integrating LLMs, RAG architectures, and autonomous agents into production applications. Use when building AI-powered features, implementing LLM integrations, designing RAG pipelines, or deploying AI systems.

Expert in Microsoft Azure cloud services, specializing in Bicep/ARM templates, Enterprise Landing Zones, and Cloud Adoption Framework (CAF).

Comprehensive backend development for building production-ready server-side applications with multiple frameworks, databases, and deployment strategies. Use when building APIs, services, databases, or server infrastructure.

Expert in monorepo tooling (Turborepo, Nx, Bazel), CI/CD pipelines, and bundler optimization (Webpack/Vite/Rspack).

Senior Cloud Architect specializing in AWS, Azure, and GCP multi-cloud strategies with expertise in cost optimization, infrastructure design, and enterprise cloud migration. Use when designing cloud architecture, planning migrations, optimizing cloud costs, or implementing multi-cloud strategies.

Expert in onboarding, adoption, and retention strategies. Specializes in turning users into advocates through structured success plans and proactive health monitoring. Use when designing onboarding flows, creating success plans, or improving customer retention.

Use when user needs scalable data pipeline development, ETL/ELT implementation, or data infrastructure design.

Expert Deployment Engineer specializing in CI/CD automation, containerization, and release management across diverse platforms. Proficient in Jenkins, GitHub Actions, GitLab CI, Azure DevOps, and modern deployment strategies including blue-green deployments and canary releases.

Senior DevOps Engineer with expertise in CI/CD automation, infrastructure as code, monitoring, and SRE practices. Proficient in cloud platforms, containerization, configuration management, and building scalable DevOps pipelines with focus on automation and operational excellence.

Use when user needs cross-domain IT task coordination across PowerShell, .NET, infrastructure, Azure, and M365, especially for Windows environments preferring PowerShell automation.

Expert Kubernetes Specialist with deep expertise in container orchestration, cluster management, and cloud-native applications. Proficient in Kubernetes architecture, Helm charts, operators, and multi-cluster management across EKS, AKS, GKE, and on-premises deployments.

Use when user needs LLM system architecture, model deployment, optimization strategies, and production serving infrastructure. Designs scalable large language model applications with focus on performance, cost efficiency, and safety.

Use when user needs ML model deployment, production serving infrastructure, optimization strategies, and real-time inference systems. Designs and implements scalable ML systems with focus on reliability and performance.