SajiCode

Design and implement production database systems. Covers schema design, migrations, query optimization, ORMs (Prisma, Drizzle, TypeORM), PostgreSQL/SQLite/MongoDB patterns, indexing strategies, connection pooling, and multi-tenant architectures. Use when designing schemas, writing queries, or setting up data access layers.

Cloud-native DevOps and infrastructure automation. Covers Docker multi-stage builds, Kubernetes deployments, GitHub Actions CI/CD, Vercel/AWS/GCP deployment, monitoring with Prometheus and Grafana, logging, health checks, infrastructure as code, and production readiness checklists. Use when deploying, containerizing, or setting up CI/CD pipelines.

Build full-stack applications with Next.js 15, React 19, and App Router. Covers server components, server actions, parallel routes, intercepting routes, middleware authentication, ISR/SSG/SSR strategies, streaming, API route patterns, edge runtime, and performance optimization. Use when building Next.js applications.

Build production-grade Node.js backend services with Express, Fastify, or Hono. Covers middleware architecture, stream processing, worker threads, WebSocket implementation, queue processing with BullMQ, Redis caching, structured logging, graceful shutdown, and error handling patterns. Use when building backend APIs or server-side services.

Comprehensive security auditing and hardening for web applications. Covers OWASP Top 10 with real fix patterns, dependency scanning, secrets management, authentication/authorization implementation, CSP headers, rate limiting, input sanitization, and vulnerability remediation. Use when auditing security, implementing auth, or hardening an application.

Build premium interfaces with shadcn/ui components, Radix primitives, and Tailwind CSS. Covers installation, component customization, theming, dark mode, form patterns with react-hook-form + Zod, data tables with sorting/filtering/pagination, command palette, toast patterns, and composable component architecture. Use when building UI with shadcn/ui.

Implement production styling systems with Tailwind CSS, vanilla CSS, or CSS-in-JS. Covers CSS architecture (BEM, utility-first, modules), design tokens, responsive patterns, animation systems, dark mode, container queries, print styles, and performance optimization. Use when implementing designs or building CSS architectures.

Design and implement comprehensive test suites. Covers unit testing, integration testing, E2E testing with Playwright, API testing, mocking strategies, test data factories, TDD workflow, snapshot testing, coverage targets, and CI integration. Use when writing tests, designing test architecture, or debugging test failures.

Demo plugin skill for tests.

Build immersive 3D web experiences with Three.js, React Three Fiber, Spline, and WebGL. Covers product configurators, 3D portfolios, scroll-driven 3D, model pipeline optimization, performance budgets, and interactive scenes. Use when building 3D websites, three.js scenes, or WebGL experiences.

Build production-ready LLM applications, RAG systems, and intelligent agents. Covers model selection, vector search, prompt engineering, agent orchestration with LangGraph, cost optimization, and AI safety. Use for any LLM feature, chatbot, AI agent, or AI-powered application.

Design and implement production APIs — RESTful and GraphQL. Covers API design principles, endpoint architecture, authentication flows (OAuth2, JWT, API keys), webhook handlers, third-party API integration, rate limiting, retry logic, API versioning, error standardization, and OpenAPI documentation. Use when designing APIs, integrating external services, or building API clients.

Design scalable system architectures and make technology decisions. Covers microservices vs monolith analysis, event-driven architecture, CQRS, domain-driven design, system design methodology, scalability planning, technology selection frameworks, architecture decision records, C4 diagrams, and infrastructure patterns. Use when designing systems, making architectural decisions, or planning for scale.

Systematic debugging and troubleshooting methodology for production applications. Covers error trace analysis, network debugging, memory profiling, reproducing intermittent bugs, bisecting regressions, stack trace interpretation, log analysis, performance bottleneck identification, and debugging strategies for Node.js, browser, React, and database issues. Use when debugging errors, investigating failures, or troubleshooting performance issues.

Create distinctive, production-grade frontend interfaces with exceptional design quality. Build web components, pages, dashboards, landing pages, and full applications with bold aesthetics that avoid generic AI-generated looks. Covers design systems, animations, responsive layouts, accessibility, and creative direction. Use when building any web UI.

Generate complete, production-ready full-stack applications from a single prompt. Scaffolds projects with the right framework, database schema, API layer, frontend components, authentication, and deployment config. Covers Vite + React, Next.js, Express + React, static sites, and monorepo setups. Use when building a new application from scratch or scaffolding a major feature.

Build production MCP (Model Context Protocol) servers that let AI clients call your tools and read your data. Covers tool registration with Zod validation, resource handlers, prompt templates, stdio and HTTP transports, session management, error handling, testing, and deployment. Use when building MCP servers or tools for AI integration.

Build cross-platform mobile applications with React Native and Expo. Covers project setup, navigation (React Navigation, Expo Router), native modules, push notifications, offline-first architecture, app store deployment, responsive layouts, platform-specific code, state management, and performance optimization. Use when building mobile apps or cross-platform experiences.

Profile and optimize application performance across frontend, backend, and database layers. Covers bundle analysis, Core Web Vitals, Lighthouse optimization, lazy loading, code splitting, image optimization, caching strategies, database query optimization, memory leak detection, and server response time reduction. Use when optimizing performance or debugging slowness.

Build production Python applications — FastAPI/Flask backends, async processing, data engineering with pandas, scripting automation, CLI tools with Typer, testing with pytest, type hints, virtual environments, and package management. Use when building Python backends, data pipelines, scripts, or CLI tools.

Core engineering workflow that activates on EVERY task. Enforces systematic plan-before-code methodology, multi-file refactoring safety, dependency-aware changes, pre-flight verification, and zero-placeholder quality standards. Use PROACTIVELY on all coding tasks.

Deep web research and data extraction skill. Systematically research ANY topic by fetching URLs, reading documentation, crawling API docs, evaluating npm/pypi packages, comparing technologies, and synthesizing findings into actionable recommendations. Use when researching libraries, frameworks, APIs, solutions, or any topic requiring web investigation.