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Odoo Service

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ahmed-lakosha
odoo-service

Complete Odoo server lifecycle manager — run, deploy, initialize, and manage Odoo across local venv, Docker, and any IDE. Handles server startup/shutdown, environment initialization, database management, Docker orchestration, and IDE configuration for Odoo 14-19. <example> Context: User wants to start the Odoo server user: "Start the Odoo 17 server for my TAQAT project" assistant: "I will activate the virtual environment, locate the TAQAT17.conf config, and start the server with the correct addons path." <commentary>Server start trigger.</commentary> </example> <example> Context: User wants to stop the server user: "Stop the Odoo server" assistant: "I will find and kill the process on port 8069/8072." <commentary>Server stop trigger.</commentary> </example> <example> Context: User wants database backup user: "Backup the taqat17 database" assistant: "I will use pg_dump to create a backup of the taqat17 database with custom format." <commentary>Database operation trigger.</commentary> </example> <example> Context: User wants IDE configuration user: "Set up VSCode for my Odoo 17 project with debug configs" assistant: "I will generate .vscode/launch.json, tasks.json, settings.json, and extensions.json with Odoo-specific configurations." <commentary>IDE config trigger - generates full VSCode workspace setup.</commentary> </example> <example> Context: User wants to initialize a new environment user: "Initialize a new Odoo 17 environment with database" assistant: "I will create a venv, install requirements, configure PostgreSQL, generate .conf, and create the database." <commentary>Environment init trigger.</commentary> </example> <example> Context: User wants to create a new module user: "Create a new module called hr_overtime in the TAQAT project" assistant: "I will scaffold a complete module with models, views, security, and tests." <commentary>Module scaffold trigger.</commentary> </example> <example> Context: User wants to check if module is production-ready user: "Is my module ready for production?" assistant: "I

Overview

Publisherahmed-lakosha
Repositoryodoo-plugins
Skill nameodoo-service
Stars
74
Forks
33
Bundled files
7
LicenseMIT
Links
Skill sourceRepository
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 7 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by ahmed-lakosha on GitHub. Read the source before you install it.

Installation

Install the Odoo Service AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ahmed-lakosha/odoo-plugins.git /tmp/odoo-plugins
mkdir -p .claude/skills
cp -r /tmp/odoo-plugins/odoo-service-plugin/odoo-service .claude/skills/odoo-service
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Odoo Service in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Odoo Service on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Odoo Service is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Odoo Service Skill

Capabilities

This skill manages the complete Odoo server lifecycle:

  • Server: Start, stop, restart, status check (Windows/Linux/macOS)
  • Environment: Auto-detect venv/Docker/bare Python; initialize new environments
  • Database: Backup, restore, create, drop, list, reset admin password
  • Docker: Generate Dockerfiles/compose, manage containers, exec into shells
  • IDE: Generate VSCode and PyCharm configurations with debug support
  • Module: Install, update, scaffold, refresh module list
  • Readiness: Production quality gate (tests, security, translations, manifest)

Environment Detection

Priority order: Docker > venv > bare Python.

SignalEnvironment
docker-compose.yml or Dockerfile presentDocker
.venv/, venv/, or env/ with Python executableLocal venv
None of the aboveBare Python

Override with flags: --docker, --venv, --env bare.

Odoo Version Matrix

VersionPythonLongpolling KeyExtra Deps
143.7 - 3.10longpolling_port-
153.8 - 3.11longpolling_port-
163.9 - 3.12gevent_port-
173.10 - 3.13gevent_port-
183.10 - 3.13gevent_portcbor2
193.10 - 3.13gevent_portcbor2, python-magic

Quick Reference

Server

bash
# Start (dev mode)
python -m odoo -c conf/PROJECT.conf --dev=all

# Start (production)
python -m odoo -c conf/PROJECT.conf --workers=4

# Stop (Windows)
FOR /F "tokens=5" %P IN ('netstat -ano ^| findstr :8069') DO taskkill /PID %P /F

# Stop (Linux/Mac)
lsof -ti:8069 | xargs kill -9

Module Operations

bash
# Install
python -m odoo -c conf/PROJECT.conf -d DB -i MODULE --stop-after-init

# Update (most common after code changes)
python -m odoo -c conf/PROJECT.conf -d DB -u MODULE --stop-after-init

# Refresh module list (before installing NEW modules)
python -m odoo -c conf/PROJECT.conf -d DB --update-list

Database

bash
# Backup (compressed custom format - recommended)
pg_dump -U odoo -h localhost -Fc DBNAME -f backups/DBNAME_YYYYMMDD.dump

# Restore
createdb -U odoo NEWDB && pg_restore -U odoo -d NEWDB backup.dump

# Reset admin password
psql -U odoo -d DBNAME -c "UPDATE res_users SET password='newpass' WHERE login='admin';"

Docker

bash
docker-compose up -d              # Start
docker-compose down               # Stop
docker-compose up -d --build      # Rebuild and start
docker-compose exec odoo bash     # Shell into container

Scripts

Located in odoo-service/scripts/ — all standalone, stdlib-only (optional psutil):

ScriptPurpose
server_manager.pyStart/stop/restart/status, module install/update
env_initializer.pyVenv creation, PostgreSQL check, config generation
db_manager.pyBackup/restore/create/drop, admin password reset
docker_manager.pyDockerfile/compose generation, container lifecycle
ide_configurator.pyVSCode/PyCharm config generation

Config File Format

ini
[options]
addons_path = odoo/addons,projects/PROJECTNAME
admin_passwd = 123
db_host = localhost
db_port = 5432
db_user = odoo
db_password = odoo
dbfilter = PROJECTNAME.*
http_port = 8069
gevent_port = 8072
workers = 0

Naming convention: conf/{PROJECT}{VERSION}.conf (e.g., conf/myproject17.conf).

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Odoo Service AI skill do?

Complete Odoo server lifecycle manager — run, deploy, initialize, and manage Odoo across local venv, Docker, and any IDE. Handles server startup/shutdown, environment initialization, database management, Docker orchestration, and IDE configuration for Odoo 14-19. <example> Context: User wants to start the Odoo server user: "Start the Odoo 17 server for my TAQAT project" assistant: "I will activate the virtual environment, locate the TAQAT17.conf config, and start the server with the correct addons path." <commentary>Server start trigger.</commentary> </example> <example> Context: User wants...

Why use Odoo Service on TypingMind?

Because you install it once and use it with any model. Odoo Service is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Odoo Service in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ahmed-lakosha/odoo-plugins/tree/master/odoo-service-plugin/odoo-service. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Odoo Service?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Odoo Service?

As many as you like. As long as a model supports skills, you can use Odoo Service with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Odoo Service AI skill free?

Yes. It is published on GitHub by ahmed-lakosha under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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