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backend setup stack
Bootstrap a Dockerized Node.js backend with PostgreSQL, Express, and your choice of Prisma or Sequelize.
$5
Works with the AI Agents you already use
backend setup stack
Example session with this skill installed
I need to start a new Node.js project. Set up a backend stack using Docker and Sequelize for a PostgreSQL database.
- Read your context and instructions
- Compiled the backend setup stack
I have initialized your backend development stack. I configured Sequelize as requested, scaffolded the Express server, and verified that the PostgreSQL container is healthy and accepting connections.
Local Backend Stack Initialized
| Component | Status | Details |
|---|---|---|
| Node.js | Installed | Version 18+ detected |
| Docker | Running | Postgres 15 container active |
| ORM | Sequelize | Configured with pg/pg-hstore |
| Database | Connected | app_db on port 5432 |
| Health Check | Passed | GET /health returned 200 OK |
Created Files
docker-compose.yml: Defines the PostgreSQL service with health checks..env: Contains DB credentials and connection strings.server.js: Express boilerplate with a Sequelize-backed health endpoint.config/config.json: Sequelize database configuration..claude_history/setup_status.md: Detailed setup logs and phase checklist.
Command Execution Log
# Started database container
docker compose up -d
# Waiting for PostgreSQL...
# pg_isready -h localhost -p 5432 -U postgres
# localhost:5432 - accepting connections
# Running migrations
npx sequelize-cli db:migrate
# Starting server
npm run dev
# Server on http://localhost:3000
# ✅ Stack is healthy
Next steps
- Define your data models in the
models/directory. - Run
npx sequelize-cli model:generateto add new entities. - Use
docker compose logs -f dbto monitor database traffic during development.
Connects securely to your tools. The creator never sees your data.
About this skill
Setting up a local development environment for a Node.js backend usually involves a tedious dance of Docker configuration, ORM boilerplate, and connection string debugging. This skill automates the entire process, providing a production-ready local stack in minutes.
What it does
- Automated Scaffolding initializes npm, installs Express, and configures either Prisma or Sequelize based on your project requirements.
- Docker Orchestration generates a specialized
docker-compose.ymlwith health checks and persistent volumes for PostgreSQL. - ORM Configuration bootstraps schemas, models, and migrations while wiring up
.envfiles with proper connection strings. - Environment Verification executes a multi-step gate to ensure PostgreSQL is ready before running migrations and starting the server.
- Health Monitoring creates a dedicated
/healthendpoint that pings the database to verify the end-to-end connection.
How it works
- Selection: The agent detects your preferred ORM (Prisma/Sequelize) or defaults to Prisma.
- Infrastructure: It verifies Docker installation and generates the container configuration.
- Dependency Injection: The agent runs the necessary
npminstalls and ORM initialization commands. - Validation: It boots the stack, waits for DB readiness via
pg_isready, and runs the initial migrations.
Frameworks & tools
Node.js (>=18), Docker, Docker Compose, PostgreSQL 15, Express, Prisma, and Sequelize.
Why this beats prompting it yourself
Standard LLM prompts often hallucinate Docker networking issues or forget to wait for the database to be "ready" before running migrations, causing immediate crashes. This skill uses a strict phase-based execution model with built-in error mitigation for common port conflicts and permission issues.
Use cases
- Initializing a new greenfield Node.js microservice with a reliable local database.
- Migrating a non-containerized legacy Node.js app into a Dockerized environment.
- Repairing a broken local developer environment where ORM migrations are failing.
- Rapidly prototyping API features with a persistent relational data store.
Known limitations
Requires local installation of Docker, Node.js, and npm. It is strictly designed for local development environments and does not generate production Kubernetes or Cloud formation templates.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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