Design e Frontend
16.414 skills encontradas
Alerta por categoria
Receba novas skills de Design e Frontend toda segunda
Você confirma o email no primeiro envio. Sem spam. Cancela com 1 clique.
make-automation
Automate Make (Integromat) tasks via Rube MCP (Composio): operations, enums, language and timezone lookups. Always search tools first for current schemas.
antigravity-design-expert
Core UI/UX engineering skill for building highly interactive, spatial, weightless, and glassmorphism-based web interfaces using GSAP and 3D CSS.
objection-preemptor
One sentence - what this skill does and when to invoke it
hig-components-layout
Apple Human Interface Guidelines for layout and navigation components.
affinda-automation
Automate Affinda tasks via Rube MCP (Composio). Always search tools first for current schemas.
vibers-code-review
Human review workflow for AI-generated GitHub projects with spec-based feedback, security review, and follow-up PRs from the Vibers service.
cal-com-automation
Automate Cal.com tasks via Rube MCP (Composio): manage bookings, check availability, configure webhooks, and handle teams. Always search tools first for current schemas.
javascript-testing-patterns
Comprehensive guide for implementing robust testing strategies in JavaScript/TypeScript applications using modern testing frameworks and best practices.
product-design
Design de produto nivel Apple — sistemas visuais, UX flows, acessibilidade, linguagem visual proprietaria, design tokens, prototipagem e handoff. Cobre Figma, design systems, tipografia, cor, espacamento, motion design e principios de design cognitivo.
seo-content-planner
'Creates comprehensive content outlines and topic clusters for SEO.
architecture-decision-records
Comprehensive patterns for creating, maintaining, and managing Architecture Decision Records (ADRs) that capture the context and rationale behind significant technical decisions.
python-performance-optimization
Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.