Zeabur — Modern Cloud Deployment Platform
## Overview
Best use case
Zeabur — Modern Cloud Deployment Platform is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
## Overview
Teams using Zeabur — Modern Cloud Deployment Platform should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/zeabur/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How Zeabur — Modern Cloud Deployment Platform Compares
| Feature / Agent | Zeabur — Modern Cloud Deployment Platform | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
## Overview
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Zeabur — Modern Cloud Deployment Platform
## Overview
Zeabur, the cloud deployment platform that auto-detects frameworks, builds and deploys applications with zero configuration, and provides managed services like databases and message queues. Helps developers deploy full-stack applications with automatic scaling and one-click marketplace services.
## Instructions
### CLI Deployment
```bash
# Install Zeabur CLI
npm install -g zeabur
# Login
zeabur auth login
# Deploy from current directory (auto-detects framework)
zeabur deploy
# Deploy with specific settings
zeabur deploy --name my-api --region hkg # Hong Kong region
# Environment variables
zeabur env set DATABASE_URL "postgres://..."
zeabur env set NODE_ENV production
zeabur env list
# Manage domains
zeabur domain add api.myapp.com
zeabur domain list
```
### Project Configuration
```toml
# zeabur.toml — Optional project configuration
[build]
# Override auto-detected build command
command = "npm run build"
output = "dist"
[runtime]
# Override start command
command = "node dist/server.js"
[env]
# Default environment variables (overridden by dashboard/CLI)
NODE_ENV = "production"
PORT = "3000"
[scaling]
min_instances = 1
max_instances = 5
[health_check]
path = "/health"
interval = "30s"
```
### Framework Auto-Detection
Zeabur automatically detects and configures:
```markdown
## Supported Frameworks (auto-detected, zero config)
- **Node.js**: Next.js, Nuxt, Remix, Express, Fastify, Hono, NestJS
- **Python**: Django, Flask, FastAPI, Streamlit
- **Go**: Gin, Echo, Fiber, standard net/http
- **Rust**: Actix, Axum, Rocket
- **Java**: Spring Boot, Quarkus
- **PHP**: Laravel, Symfony
- **Ruby**: Rails, Sinatra
- **Static**: React, Vue, Svelte, Astro, Hugo, Gatsby
## How it works:
1. Push code to GitHub or deploy via CLI
2. Zeabur detects the framework from package.json/requirements.txt/go.mod/etc.
3. Builds using the appropriate buildpack (Nixpacks)
4. Deploys to an isolated container with auto-scaling
5. Provisions a subdomain with SSL (*.zeabur.app)
```
### Marketplace Services
Deploy managed services alongside your application:
```typescript
// Available marketplace services (one-click deploy via dashboard or API)
const services = {
databases: [
"PostgreSQL", // Managed Postgres with automatic backups
"MySQL", // Managed MySQL/MariaDB
"MongoDB", // Managed MongoDB
"Redis", // Managed Redis for caching
],
messaging: [
"RabbitMQ", // Message broker
"Kafka", // Event streaming (via Redpanda)
],
search: [
"Meilisearch", // Full-text search engine
"Elasticsearch",
],
tools: [
"MinIO", // S3-compatible object storage
"n8n", // Workflow automation
"Umami", // Web analytics
"Plausible", // Privacy-focused analytics
"Ghost", // Blog/CMS
"Strapi", // Headless CMS
],
};
// Services are deployed in the same project
// Connection strings are auto-injected as environment variables
// Example: DATABASE_URL is automatically available after adding PostgreSQL
```
### Git Integration
```yaml
# Automatic deployment on push
# Configure in Zeabur dashboard:
# 1. Connect GitHub/GitLab account
# 2. Select repository
# 3. Choose branch for auto-deploy
# 4. Zeabur creates a webhook that triggers deployment on push
# Branch-based environments:
# - main → production (api.myapp.com)
# - develop → staging (staging-api.myapp.com)
# - PR branches → preview deployments (pr-123-api.zeabur.app)
```
### API Integration
```typescript
// scripts/zeabur-api.ts — Zeabur API for automation
const ZEABUR_API = "https://gateway.zeabur.com/graphql";
const ZEABUR_TOKEN = process.env.ZEABUR_TOKEN!;
async function zeaburQuery(query: string, variables?: Record<string, any>) {
const response = await fetch(ZEABUR_API, {
method: "POST",
headers: {
"Content-Type": "application/json",
Authorization: `Bearer ${ZEABUR_TOKEN}`,
},
body: JSON.stringify({ query, variables }),
});
const result = await response.json();
if (result.errors) throw new Error(result.errors[0].message);
return result.data;
}
// List all services in a project
async function listServices(projectId: string) {
return zeaburQuery(`
query ($projectId: ObjectID!) {
project(_id: $projectId) {
services {
_id
name
status
domains { domain }
}
}
}
`, { projectId });
}
// Restart a service
async function restartService(serviceId: string) {
return zeaburQuery(`
mutation ($serviceId: ObjectID!) {
restartService(_id: $serviceId)
}
`, { serviceId });
}
```
## Examples
### Example 1: Setting up Zeabur for a microservices project
**User request:**
```
I have a Node.js API and a React frontend running in Docker. Set up Zeabur for monitoring/deployment.
```
The agent creates the necessary configuration files based on patterns like `# Install Zeabur CLI`, sets up the integration with the existing Docker setup, configures appropriate defaults for a Node.js + React stack, and provides verification commands to confirm everything is working.
### Example 2: Troubleshooting project configuration issues
**User request:**
```
Zeabur is showing errors in our project configuration. Here are the logs: [error output]
```
The agent analyzes the error output, identifies the root cause by cross-referencing with common Zeabur issues, applies the fix (updating configuration, adjusting resource limits, or correcting syntax), and verifies the resolution with appropriate health checks.
## Guidelines
1. **Let auto-detection work** — Don't add config unless Zeabur gets it wrong; framework detection handles 90% of cases
2. **Use marketplace for databases** — Don't containerize your own Postgres; Zeabur's managed services handle backups and scaling
3. **Branch-based environments** — Map branches to environments (main→prod, develop→staging) for consistent deployment workflows
4. **Environment variable injection** — Marketplace services auto-inject connection strings; reference them by the standard variable names
5. **Custom domains early** — Add your domain and point DNS before going live; Zeabur handles SSL automatically
6. **Monitor build logs** — Check build logs when auto-detection fails; override with `zeabur.toml` if needed
7. **Use regions strategically** — Deploy close to your users; Zeabur supports multiple regions including Asia
8. **Scale based on traffic** — Configure auto-scaling with min/max instances; pay only for what you useRelated Skills
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