video-use

Edit videos from conversational prompts into a final rendered output.

24|8|Updated May 3, 2026

Search Tags:#automation #workflow #subtitles #transcription #video-editing #color-grading

Ready to run

npx skills add https://github.com/timscheuerai/content-vault --skill video-use

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

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.

Core Features & Use Cases

Conversational editing: describe the edit in plain language and the system orchestrates transcription, segmenting, grading, overlays, and captions.
End-to-end automation: starts from raw footage, outputs a final render with optional per-segment presets and a mastered timeline.
Use Case: teams can drop a folder of clips and receive a publish-ready video with captions and a consistent brand look.

Quick Start

Drop a video into Claude Code and say "edit these into a launch video" to start.

Frequently Asked Questions about video-use

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automate video editing from raw footage to a final render?▼

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.

Can I generate subtitles and transcription automatically during video editing?▼

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.

What is the best way to apply color grading to multiple video clips consistently?▼

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.

How do I create a launch video from a folder of clips without manual editing?▼

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.

Does conversational video editing support tutorials and event recaps?▼

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.

What are the limitations of using natural-language prompts for video editing?▼

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.