Browse 5,831 Fullstack & Backend Engineering — Agentic Skills

Get reliable JSON, enums, and typed objects from LLMs using response_format, tool_use, and schema-constrained decoding across OpenAI, Anthropic, and Google APIs.

Build full-stack MCP (Model Context Protocol) servers from scratch in TypeScript or Python: tool implementation, testing, deployment, and registry publishing. Use when implementing or shipping an MCP server.

Angular performance optimization and best practices guide. Use when writing, reviewing, or refactoring Angular code for optimal performance, bundle size, and rendering efficiency.

Next.js App Router principles. Server Components, data fetching, routing patterns.

Web Push Notifications: VAPID keys, Push API, service worker handlers, permission UX, subscription persistence in Spring Boot, web-push library, FCM Android, iOS 16.4+. Use when adding push notifications to an Angular PWA.

Generates production-grade Cypress E2E and component tests in JavaScript or TypeScript. Supports local execution and TestMu AI cloud. Use when the user asks to write Cypress tests, set up Cypress, test with cy commands, or mentions "Cypress", "cy.visit", "cy.get", "cy.intercept".

Build resilient applications with robust error handling strategies that gracefully handle failures and provide excellent debugging experiences.

Expose agent memory through MCP: architecture, patterns, and decisions for connecting AI agents to persistent memory via the memory MCP server. Use when wiring memory into agents through MCP tools.

Create custom AI subagents with proper plugin structure, persona generation, and companion routing skills.

Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.

Internationalization and localization patterns. Detecting hardcoded strings, managing translations, locale files, RTL support.

Apply DDD tactical patterns in code using entities, value objects, aggregates, repositories, and domain events with explicit invariants.

Master of defensive Bash scripting for production automation, CI/CD pipelines, and system utilities. Expert in safe, portable, and testable shell scripts.

Bash/Linux terminal patterns. Critical commands, piping, error handling, scripting. Use when working on macOS or Linux systems.

Mobile UX patterns: touch targets, thumb zones, gestures, bottom navigation, swipe actions, mobile forms, responsive design. Use when building mobile-first web apps, PWAs, or Angular responsive layouts for phones and tablets.

Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations.

Create a Work Breakdown Structure (WBS) and WBS Dictionary from project charter deliverables. Covers hierarchical decomposition, WBS coding, effort estimation, dependency identification, and critical path candidates. Use after a project charter is approved, when planning a classic or waterfall project with defined deliverables, breaking a large initiative into manageable work packages, or establishing a basis for effort estimation and resource planning.

Enterprise Spring Boot 4.x / 3.5 LTS architecture, Virtual Threads (Project Loom), Spring AI, Declarative HTTP Clients, and Security best practices.

Real-time web stack: WebSocket (STOMP), Server-Sent Events (SseEmitter), and polling in Spring Boot + Angular 22. Covers reconnection strategies, heartbeats, Signal integration, and choosing between transport protocols.

Design and architect AI agent memory systems: context windows, short-term and long-term memory, vector stores, and cognitive architectures. Use when planning how an agent should persist, retrieve, and organize knowledge.

BullMQ expert for Redis-backed job queues, background processing, and reliable async execution in Node.js/TypeScript applications.

You are a TypeScript project architecture expert specializing in scaffolding production-ready Node.js and frontend applications. Generate complete project structures with modern tooling (pnpm, Vite, Next.js, tsup, Vitest).

Onboarding and First Experience Design: progressive disclosure, empty-to-populated transitions, first-use tutorials, reducing friction. Use when designing first-time user experiences, onboarding flows, or reducing time-to-value.

Implement Command Query Responsibility Segregation for scalable architectures. Use when separating read and write models, optimizing query performance, or building event-sourced systems.