OpenAI
ZK3JhU73W18
Record & Replay in Codex
Job gecmisi
| Job | Durum | Deneme | Worker | Istek | Baslama | Bitis |
|---|---|---|---|---|---|---|
| FetchYouTubeTranscript #59 | Done | 1 | learning-prod-worker-1 | 2026-06-18 23:26:16 | 2026-06-18 23:26:48 | 2026-06-18 23:26:54 |
Ozet
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Transcript
Video metni
You can now show Codex how to do something, teach it your preferences, and turn what it learns into a skill you can use again. Let me show you what that looks like. Our team follows a consistent process every time we publish a YouTube video. Doing this manually means pulling the metadata from our publishing spreadsheet, finding the matching assets, and working through the same fields and settings in YouTube studio. This time, I'm going to have Codex watch me, so it can learn how we do it. As I go, I pull in the title and description, add the thumbnail and English captions and save the video as private. When I'm done, Codex reviews the recording and turns what it learned into a skill. where to learn into a skill. it remembers where our metadata lives, how the upload package is organized, and how we add captions, save, and verify each upload. Now I'm going to open a fresh thread, attach the next video package, and ask Codex to handle it. And now Codex handles this next one for me. It matches the package to the right row in our spreadsheet, fills in the metadata, adds the thumbnail and English captions, uploads the video as private, and then verifies everything was saved correctly. So there you go. You show Codex how to do something once, and remembers your process and preferences for the next time. That could be how you publish a video, how you format and share pull request, and how you like to set up calendar invites. When you use the skill again, Codex can complete the task using computer use, browser use, your connected plugins, or a combination of them. You don't have to explain every step or preference in a prompt. Just show Codex how you do it, and next time it can do it for you.