What is expertteam-codex?

ExpertTeam-Codex is a collection of configuration files and role definitions that you install into your local Codex setup to turn Codex from a single assistant into a set of specialized expert agents. Codex is OpenAI's coding and task agent, and it supports a skill system where typed commands trigger specific behaviors. This project populates your Codex installation with six skills covering software development, design prototyping, product strategy, infrastructure operations, security, and a routing entry point that picks the right team based on what you ask for. Each skill is made up of agent definition files describing roles like architect, QA engineer, product manager, user researcher, security expert, and others, along with guidance files for each domain. When you type a command like $expert-software followed by a description of what you want to build, Codex activates the software team skill and coordinates the roles through a workflow of planning, architecture, coding, and testing. The commands support flags to scope the work, for example running just the architecture step, just the code generation step, or a fast mode for small features. Installation copies these files into your local ~/.codex folder. A one-line curl command handles the download and file placement automatically, including backing up any existing files with the same names before overwriting them. A manual copy option is also available for users who want to inspect the files before installing. The README, which is written in Chinese with some English command examples, includes a section on recommended workflows that chains the skills together for building a product from scratch: start with a product requirements document from the product skill, feed it to the design skill for a prototype, pass both to the software skill for implementation, then use the security and operations skills for review and deployment planning. The project is at version 1.2.0 and includes a changelog and a test script that validates the installer on macOS and Linux. The README notes that this works with both the Codex CLI and the Codex desktop app.