OpenAI Codex: Create Reusable Engineering Skills

AI coding agents become significantly more effective when they're guided by reusable skills that encode how your team builds software. In this course, you'll learn how to create and apply engineering skills in OpenAI Codex to support the entire software development lifecycle, from requirements gathering through implementation and release. Using a realistic feature-development workflow, you'll design skills that help agents clarify requirements, research technical risks, plan implementation work, write code, and review results. Along the way, you'll learn practical techniques for making agent behavior more predictable, improving development quality, and reducing rework. By the end of the course, you'll have a repeatable framework for building reusable Codex skills that can accelerate future engineering projects while maintaining consistent standards.

Learning objectives
Create reusable Codex skills that encode engineering workflows.
Generate requirements documents from feature requests using AI-assisted workflows.
Produce technical implementation plans that identify risks and design decisions.
Break down complex features into testable, end-to-end implementation units.
Implement features with test-driven, AI-assisted development practices.
Review AI-generated code against requirements, plans, and project standards.