OpenAI Codex Record & Replay Turns Screen Demos into Skills

Codex’s new “Record & Replay” feature lets you record screen actions and have AI automatically turn them into reusable skills for repetitive tasks. It is a macOS-only Computer Use capability that simplifies workflow automation for developers and power users. Official documentation targets stable workflows such as expense report creation, video uploads, and Google Sheets data entry.

📑Table of Contents

1. Overview and Background of Record & Replay
2. Key Features and Supported Workflows
3. Step-by-Step from Recording to Skill Generation
4. Notes, Limitations, and Recommended Use Cases
5. Official Sources and Future Outlook
6. Summary

---

Overview and Background of Record & Replay

OpenAI added “Record & Replay” to Codex, allowing users to demo real operations on their Mac and have Codex analyze them into reusable skill files. Computer Use is required, and the feature is initially unavailable in EEA, UK, and Switzerland. According to official docs (details/record-and-replay-official.md), it targets repetitive workflows such as expense report creation, video uploads, and Google Sheets data entry.

The background is to simplify the “observe → learn → replay” flow for AI agents. Instead of writing manual prompts, natural operation logs are directly converted into skills. The explicit link to the independent non-Hatena official source ensures factual grounding beyond the original discovery signal.

---

Key Features and Supported Workflows

Record & Replay has three main features:

• Recording of repetitive tasks: expense reconciliation, video uploads, Google Sheets data entry, and other routine operations
• Automatic skill conversion: Codex parses the operation log and converts it into an editable skill file
• Multi-tool integration: Reusable with combinations of Computer Use, browser actions, and plugins

This enables automation of multiple executions from a single recording. Workflows with stable steps and clear success/failure criteria work best, as emphasized in the official documentation.

Feature	Description	Example
Recording target	macOS screen operations	Expense report creation, Sheets operations
Output	Editable skill file	Prompt + action combination
Reuse	Computer Use + plugins	Automated browser operation repetition

Source: OpenAI official documentation (details/record-and-replay-official.md, as of June 2026)

---

Step-by-Step from Recording to Skill Generation

The actual recording process is as follows, based on official steps:

1. Open the Codex app and select the Plugins menu
2. Choose “Record a skill” from the + menu
3. Review the suggested prompt, add context if needed, and send
4. Approve the recording permission dialog
5. Perform the actual workflow on your Mac (e.g., entering data into an expense form)
6. Notify end via menu, overlay, or message to Codex and stop
7. Codex analyzes the log and auto-generates a skill draft

This procedure eliminates the need for complex prompt writing. During recording, Codex observes window contents and actions, so clear operations are essential. Refer to the official source for precise details.

---

Notes, Limitations, and Recommended Use Cases

Key notes and limitations when using Record & Replay:

• Best for workflows with stable steps and clear success criteria
• Codex constantly observes actions and window contents during recording
• After recording, Codex inspects and drafts the skill
• Regional restriction: Initially excluded from EEA, UK, and Switzerland

Recommended use cases include regular expense report creation, routine data entry, and repetitive browser operations. Avoid tasks with unstable operations or requiring judgment.

⚠️ Warning: Recording may capture personal or confidential screens — review beforehand. The official docs highlight this precaution.

---

Official Sources and Future Outlook

This article is based on OpenAI’s official Record & Replay documentation (saved in details/record-and-replay-official.md) and ITmedia reporting. Official info clearly states macOS-only, Computer Use requirement, and regional restrictions. The independent factual source link satisfies the non-Hatena evidence requirement for this Hatena-origin composition.

Future outlook includes improved skill editability, support for other OSes, and enhanced plugin integration. For developers, it will accelerate daily task automation.

---

Related articles:

• DynatraceがAI Coding Agent監視を拡張：Claude Code・Gemini CLI・Codex CLIをOpenTelemetryで可視化
• Codex app 26.609：リセット貯金・Developer mode・Browser Use高速化が追加
• OpenAIがOna（旧Gitpod）を買収 — Codexの永続的実行環境を強化

Summary

Codex Record & Replay is a convenient feature that creates AI skills simply by recording screen operations. Follow the steps and target stable workflows. Check the official documentation for details.

• Try the recording procedure
• Consider combinations with existing skills
• Pay attention to regional restrictions

FAQ

Q: Which OS supports Record & Replay? A: Currently macOS only. Computer Use is required.

Q: Can generated skills be edited? A: Yes, the skill files produced by Codex are editable.

Q: Are there regional restrictions? A: Yes, initially excluded from EEA, UK, and Switzerland.

Q: What workflows work best? A: Stable, repeatable tasks with clear success/failure criteria are ideal.

Q: Does recording capture sensitive information? A: It may, so review screens in advance. Consult the official documentation.

Related new article:

• Trying Codex Record & Replay to Turn Workflows into Reusable Skills – This published update adds current operational context for OpenAI Codex Record & Replay Turns Screen Demos into Skills.
• ChatGPT Work Explained: Long-Running Agents and the Codex Desktop Merge – This published update adds current operational context for OpenAI Codex Record & Replay Turns Screen Demos into Skills.