Edit videos from conversational prompts into a final rendered output.
npx skills add https://github.com/timscheuerai/content-vault --skill video-use
Please help me install this Agent Skill. Skill: video-use Source: https://github.com/timscheuerai/content-vault/tree/main/skills/video-use Command: npx skills add https://github.com/timscheuerai/content-vault --skill video-use
This Skill enables conversational video editing by transforming natural-language prompts into an end-to-end pipeline: transcription, segmentation, color grading, overlays, and subtitles, so you can produce finished videos without manual fiddling.
Drop a video into Claude Code and say "edit these into a launch video" to start.
High-intent search queries and answers about installing and using this skill.
You can automate video editing by issuing conversational prompts that orchestrate transcription, cut decisions, color grading, overlays, and subtitles directly from raw footage into a final render. This eliminates manual fiddling by processing the video pipeline end-to-end.
Yes, automatic transcription and subtitles are generated natively during the video editing workflow. The conversational prompts trigger the transcription process, allowing you to produce finished videos with captions without manual intervention.
Applying consistent color grading across multiple clips is best handled using per-segment auto-grading or presets. This ensures a consistent brand look across marketing launches, tutorials, and event recaps without manual color correction.
To create a launch video without manual editing, drop a folder of clips into Claude Code and provide a plain language instruction like 'edit these into a launch video.' The system orchestrates segmentation, grading, overlays, and captions to output a publish-ready video.
Conversational video editing fully supports tutorials and event recaps by using natural-language prompts to drive segmentation and overlay workflows. It ensures fast, consistent processing from source footage to a mastered timeline for these specific use cases.
The conversational video editing process relies on natural-language prompts to orchestrate transcription and cut decisions, which requires clear instructions to achieve the desired final render. Complex manual keyframing may be limited compared to traditional editors.
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