video-fetcher-to-markdown
Converts video content into searchable, structured Markdown notes with transcripts and metadata, eliminating manual transcription overhead and enabling knowl…
Portable AI-agent skill: turn YouTube, Instagram, TikTok, X and other video links into Obsidian-ready Markdown notes: captions or local Whisper transcripts, frames, metadata and timestamps
- Convert YouTube video links into searchable Markdown notes with transcripts and timestamps.
- Extract captions from social media videos and organize them as structured Obsidian notes.
- Generate video metadata and key frames as reference material for research documentation.
Converts video content into searchable, structured Markdown notes with transcripts and metadata, eliminating manual transcription overhead and enabling knowledge workers to integrate video insights into documentation systems.
Engineering teams and consultants building knowledge bases in Obsidian or similar systems who need rapid video-to-text conversion for training, decision logging, or research documentation.
https://github.com/JimmySadek/video-fetcher-to-markdown
By JimmySadek
How to Get It
claude plugins install JimmySadek/video-fetcher-to-markdown
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me convert YouTube video links into searchable Markdown notes with transcripts and timestamps
Trust Signals Auto-scanned
Community Pulse Quiet
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 485 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
- Single maintainer. Consider the risk if this person stops maintaining the project.
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Evaluation
Scored from trust signals (evidence-eval-v1): 485 GitHub stars; contributors unknown; last commit 0d ago; license MIT.