local-environment

name	local-environment
description	Local development environment management for Rapidly using Docker
license	MIT
metadata	{"author":"rapidly","version":"1.0.0"}

Local Environment Skill

This skill enables AI coding agents to help manage the Rapidly local development environment using Docker. Use this when the user needs to start, stop, debug, or understand the local development stack.

Instance Auto-Detection

The dev docker command automatically detects the correct instance number. No manual -i flag is needed in most cases.

Detection priority:

1. CONDUCTOR_PORT env var → (port - 55000) / 10 + 1
2. Workspace path hash → stable instance derived from the repo root path

You can override with -i N if needed, but auto-detection handles Conductor workspaces automatically.

When to Use

• User asks to start/stop the local environment
• User needs to view logs or debug issues
• User wants to run multiple isolated instances
• User needs to understand the service architecture
• User encounters container or service errors

Quick Reference

Task	Command
Start full stack	dev docker up -d
Stop services	dev docker down
View all logs	dev docker logs
View service logs	dev docker logs {service}
Follow logs	dev docker logs -f
Check status	dev docker ps
Restart service	dev docker restart {service}
Shell access	dev docker shell {service}
Fresh start	dev docker cleanup -f && dev docker up -d
With monitoring	dev docker up --monitoring -d
Force rebuild	dev docker up -b -d

Services

Service	Default Port	Description
api	8000	FastAPI backend
worker	-	Background job processor
web	3000	Next.js frontend
db	5432	PostgreSQL database
redis	6379	Redis cache
minio	9000/9001	S3-compatible storage
prometheus	9090	Metrics (optional)
grafana	3001	Dashboards (optional)

Instance Port Mapping

Port = Base Port + (Instance × 100)

Instance	API	Web	DB	Redis	MinIO
0	8000	3000	5432	6379	9000
1	8100	3100	5532	6479	9100
2	8200	3200	5632	6579	9200

Rules Index

Rule	Category	Description
service-architecture	Reference	Service details