OpenAI Plugins is a curated collection of Codex plugin examples. It is designed to show developers how plugins can be structured, packaged, and extended for Codex-based workflows. Each plugin follows a consistent layout with a manifest and optional supporting surfaces such as skills, commands, hooks, assets, agents, and MCP configuration. The repository is useful for developers who want practical references instead of abstract plugin documentation alone. It demonstrates how different plugin components can work together to add specialized behavior to an AI coding environment. Its main value is helping builders understand how to create reusable Codex extensions with clear organization and predictable project conventions.
Features
- Curated Codex plugin examples
- Manifest-based plugin structure
- Optional skills and commands
- Hooks and agent configuration examples
- MCP configuration support
- Reference layouts for plugin builders