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Codex Plugin Examples

openai/plugins

Choose Codex skill and tool bundles for web, iOS, and macOS development tasks.

What is Codex Plugin Examples?

Prepared by LessAI Tools from public project documentation

OpenAI maintains these Codex plugin examples with real skill files and plugin manifests. The reviewed web-development bundle covers implementation and rendered-interface testing. Choose the bundle for your task rather than enabling the entire repository. Use a plugin-capable Codex client; Stripe, Supabase, and other connected services require your own accounts and permissions and may charge separately. Licenses apply per plugin: the reviewed web-development manifest declares MIT, which does not establish one license for the entire repository.

Codex Plugin Examples setup documentation

Setup requirements have not been reviewed yet. Check the project’s setup guide.

Setup and usage guide ↗

Based on public documentation; not individually installed and tested here.

Codex Plugin Examples use cases

  • Choose skills for web or native-app work
  • Follow frontend development and UI testing workflows
  • Connect database or payment services when needed

Official project & documentation

The project’s original description

OpenAI Plugins

Alternatives to Codex Plugin Examples for similar tasks

Matches the main use case first, then shared tasks and stars. Setup methods may differ.

  • Superpowers — Give AI a development workflow for clarifying requirements, planning, coding, and checking results.
  • Matt Pocock Skills — Reproduce a problem and verify its cause before changing code.
  • gstack — Connect planning, code review, and browser checks in a development workflow.

Sources and ranking

This directory lists AI development plugins with public source code and a clear purpose. Browse by task, then open an introduction to learn what a project does, who it is for, and what you need to get started. It covers selected projects, not every AI plugin.

How do the three plugin types differ?

Tool connections (MCP) let AI assistants use external tools such as browsers, code repositories and databases. MCP is the protocol used for these connections.

Reusable skills give a compatible AI assistant instructions and guidance for a particular task.

Editor plugins run inside the software you use to write code, adding AI chat, completions or suggested edits.

How does “Most starred” work?

Projects are sorted by their total GitHub stars. Stars indicate interest; they are not downloads, active users or quality scores. A skill pack counts as one project. Daily star growth is not shown without historical records.

What does “Recently updated” mean?

It uses the most recent code push, which may not be a new release. The 7-day filter checks that project update time; ranking still uses all-time stars. Each introduction shows when its star count was collected. Failed updates keep the last saved data.

Introductions are based on public project documentation. These projects have not each been installed and tested here. Check the project documentation for setup, compatibility and service costs. Refreshing this list only reads saved data; it does not start collection.

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