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create-a-backend

Plan backend architectures by mapping workloads to Vercel Functions, Services, Queues, Workflow, and storage products.

Updated Sep 5, 2026
Search Tags:#workflow#vercel#queues#backend architecture#serverless functions#database provisioning#api deployment
One-click install
npx skills add https://github.com/dsgalkar/dnyaneshwar_portfolio --skill create-a-backend-dsgalkar
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: create-a-backend
Source: https://github.com/dsgalkar/dnyaneshwar_portfolio/tree/main/.agents/plugins/vercel/skills/create-a-backend
Command: npx skills add https://github.com/dsgalkar/dnyaneshwar_portfolio --skill create-a-backend-dsgalkar

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Choosing the right backend architecture on Vercel is difficult because workloads span HTTP APIs, WebSockets, background jobs, durable workflows, containers, and databases, each mapping to a different product. This Skill guides architecture selection from the workload first, before any implementation details. ## Core Features & Use Cases - Product Mapping: Matches workload types (HTTP APIs, WebSockets, cron, background jobs, durable multi-step logic) to Vercel Functions, Services, Queues, Workflow, Cron Jobs, and Blob. - Framework Selection: Covers supported backend frameworks including Express, Fastify, Hono, NestJS, Next.js Route Handlers, FastAPI, Flask, Django, and Go. - Database Provisioning: Directs Postgres, Redis, MongoDB, SQLite, and analytics storage choices through Vercel Marketplace integrations with injected credentials. - Use Case: A developer with an existing Dockerfile and a FastAPI service uses this Skill to decide between container images on Functions versus Services, then provisions Neon Postgres via the Marketplace. ## Quick Start Ask the assistant to plan a backend on Vercel for your API, background jobs, and database using the create-a-backend skill.

Frequently Asked Questions about create-a-backend

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I choose the right Vercel backend architecture?▼

Start from the workload, not the language. Use Vercel Functions with Fluid compute for HTTP APIs and WebSockets, Services for frontends and backends deploying together, Queues for background jobs, and Workflow for durable multi-step logic.

What backend frameworks does Vercel support?▼

Vercel supports Node.js frameworks including Express, Fastify, Hono, NestJS, and Next.js Route Handlers, plus Python frameworks FastAPI, Flask, and Django, and Go as a Functions runtime. Other WSGI or ASGI apps can run with additional configuration.

Can I deploy an existing Dockerfile as a Vercel backend?▼

Yes, existing Dockerfiles run as container images on Vercel Functions, optionally composed with Services. They operate as autoscaling, stateless Functions rather than always-on container hosts, suiting custom runtimes or system dependencies.

Vercel Queues vs Workflow for background jobs?▼

Choose Queues for background jobs, buffering, fan-out, and direct message routing. Choose Workflow for durable multi-step business logic requiring retries, sleeps, or external events. Cron Jobs handle scheduled HTTP work.

How do I add a database to a Vercel backend?▼

Provision databases through Vercel Marketplace storage integrations so credentials are injected into the project automatically. Options include Neon and Supabase for Postgres, Upstash for Redis, MongoDB Atlas, and Turso for SQLite.

When should I use Vercel Services instead of separate projects?▼

Use Services when a frontend and one or more backends should share one deployment, routing layer, preview URL, and rollback. Use separate Vercel projects when components need independent release cycles.

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