Excited to share my new agent skill.
/youtube-notetaker generates Artifacts from YT videos.
Captures slides, notes, transcription, and whatever you want.
Open-source, and you can customize it as you please.
Many users like the open-source YouTube Notetaker agent skill because it turns long videos into inspectable, actionable notes, slides, and transcripts.
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YT Videos -> Aritfacts
Watch how I use my new /youtube-notetaker skill to generate artifacts from YT videos.
Captures slides, notes, transcriptions,...
Go try it ↓
Skill here: https://github.com/dair-ai/dair-academy-plugins
Excited to share my new agent skill.
/youtube-notetaker generates Artifacts from YT videos.
Captures slides, notes, transcription, and whatever you want.
Open-source, and you can customize it as you please.
@omarsar0 Nice one clean execution, finally a solid YouTube helper.
@omarsar0 The composable skill format is what will stick. We build agents for real estate ops and the win was never one big agent. It was small skills the team can fork and actually trust. Open and customizable is what gets them adopted in practice. Grabbing this one.
@omarsar0 The interesting edge case: long lectures where the key insight is buried 45 minutes in. Does it chunk by semantic topic or by timestamp? Structured video extraction is probably the biggest unlocked corpus for long-horizon agents right now.
@omarsar0 Such a good idea
@omarsar0 This is how agents actually add value: taming the deluge of video content into actionable artifacts. ⚡️
@omarsar0 Looks interesting thanks
@omarsar0 I like this kind of skill because the output is inspectable. For YT notes I’d want 3 layers: raw transcript, cited slide/time ranges, and the final artifact. Otherwise the summary becomes confident but untraceable.
@omarsar0 Love this. Built something similar for my own video pipeline — the hard part was never transcription, it was lining up clean slide captures with the right notes. How do you handle slide dedup when a speaker sits on one slide for 5 minutes?
@omarsar0 Looks super handy for turning long lectures into something actually reviewable. Would be cool to see how it handles videos with heavy code snippets or fast-paced content.
@omarsar0 Finally waited for this!!!
@omarsar0 For video-note agents, I would make citations non-negotiable: timestamp, slide image, transcript span, and the prompt that produced each artifact block. Then a bad summary can be replayed against the source instead of manually rewatching.
@omarsar0 Interesting utility, especially for turning long form video content into structured artifacts. How are you handling accuracy for slides and timestamps when the video quality or structure is inconsistent?