bundled-skills/odoo-docker-deployment/SKILL.md
Production-ready Docker and docker-compose setup for Odoo with PostgreSQL, persistent volumes, environment-based configuration, and Nginx reverse proxy.
npx skillsauth add FrancoStino/opencode-skills-antigravity odoo-docker-deploymentInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
This skill provides a complete, production-ready Docker setup for Odoo, including PostgreSQL, persistent file storage, environment variable configuration, and an optional Nginx reverse proxy with SSL. It covers both development and production configurations.
@odoo-docker-deployment and describe your deployment scenario.docker-compose.yml and odoo.conf ready to run.# Note: The top-level 'version' key is deprecated in Docker Compose v2+
# and can be safely omitted. Remove it to avoid warnings.
services:
db:
image: postgres:15
restart: always
environment:
POSTGRES_DB: odoo
POSTGRES_USER: odoo
POSTGRES_PASSWORD: ${POSTGRES_PASSWORD}
volumes:
- postgres-data:/var/lib/postgresql/data
networks:
- odoo-net
odoo:
image: odoo:17.0
restart: always
depends_on:
db:
condition: service_healthy
ports:
- "8069:8069"
- "8072:8072" # Longpolling for live chat / bus
environment:
HOST: db
USER: odoo
PASSWORD: ${POSTGRES_PASSWORD}
volumes:
- odoo-web-data:/var/lib/odoo
- ./addons:/mnt/extra-addons # Custom modules
- ./odoo.conf:/etc/odoo/odoo.conf
networks:
- odoo-net
volumes:
postgres-data:
odoo-web-data:
networks:
odoo-net:
[options]
admin_passwd = ${ODOO_MASTER_PASSWORD} ; set via env or .env file
db_host = db
db_port = 5432
db_user = odoo
db_password = ${POSTGRES_PASSWORD} ; set via env or .env file
; addons_path inside the official Odoo Docker image (Debian-based)
addons_path = /mnt/extra-addons,/usr/lib/python3/dist-packages/odoo/addons
logfile = /var/log/odoo/odoo.log
log_level = warn
; Worker tuning for a 4-core / 8GB server:
workers = 9 ; (CPU cores × 2) + 1
max_cron_threads = 2
limit_memory_soft = 1610612736 ; 1.5 GB — soft kill threshold
limit_memory_hard = 2147483648 ; 2.0 GB — hard kill threshold
limit_time_cpu = 600
limit_time_real = 1200
limit_request = 8192
# Start all services in background
docker compose up -d
# Stream Odoo logs in real time
docker compose logs -f odoo
# Restart Odoo only (not DB — avoids data risk)
docker compose restart odoo
# Stop all services
docker compose down
# Backup the database to a local SQL dump
docker compose exec db pg_dump -U odoo odoo > backup_$(date +%Y%m%d).sql
# Update a custom module without restarting the server
docker compose exec odoo odoo -d odoo --update my_module --stop-after-init
.env file and reference them with ${VAR} — never hardcode passwords in docker-compose.yml.depends_on: condition: service_healthy with a PostgreSQL healthcheck to prevent Odoo starting before the DB is ready.workers = (CPU cores × 2) + 1 in odoo.conf — workers = 0 uses single-threaded mode and blocks all users.latest or 17 Docker image tags in production — always pin to a specific patch-level tag (e.g., odoo:17.0).odoo.conf and rely on it for secrets in CI/CD — use Docker secrets or environment variables instead.addons_path inside the Docker image may change with new base image versions — always verify after upgrading the Odoo image.tools
Authorized security assessment of LLM applications and AI agents: prompt injection, tool abuse, RAG exposure, memory poisoning, system-prompt extraction, and agent-compliance engineering per OWASP LLM/ASI Top 10.
development
Builds two parameterized UI modes—流光溢彩白 (iridescent white) and 五彩斑斓黑 (colorful black)—with OKLCH, WebGL/CSS fallback, vision gating, screenshot QA, and total/per-color intensity reports. Use when a UI request names either mode or needs measured color parameters.
tools
Delegate coding tasks to the Kimi Code CLI (`kimi`) only when the user explicitly requests it, while the orchestrator retains review and landing responsibility.
development
Front-end JavaScript reverse engineering: locate signature chains, analyze encrypted request parameters, sample runtime behavior, and reproduce logic locally in Node for evidence-based output.