Transform lecture notes into structured video scripts with timing cues and captions.
npx skills add https://github.com/YujxZJCN/teaching-skills --skill media-scripter
Please help me install this Agent Skill. Skill: media-scripter Source: https://github.com/YujxZJCN/teaching-skills/tree/main/media-scripter Command: npx skills add https://github.com/YujxZJCN/teaching-skills --skill media-scripter
This Skill translates lecture notes, flipped-class specs, and outlines into ready-to-record video scripts that preserve accessibility, pacing, and signposting for university teaching.
Convert a lecture outline into a script using the available templates and agent workflows.
High-intent search queries and answers about installing and using this skill.
You can transform lecture notes and outlines into accessible video scripts by generating two-column, spoken-register narratives with timing cues, retrieval prompts, and caption-ready outputs specifically designed for university teaching.
Generating transcripts and captions from course outlines involves producing storyboard-ready shot tables and transcript-ready outputs, applying frontmatter metadata and accessibility annotations to ensure accessible delivery.
Yes, video scripts can integrate with course passport artifacts to map episodes, weeks, and retrieval questions, creating a cohesive teaching pipeline across pre-class work, lectures, and podcasts.
Storyboard-ready shot tables organize lecture notes into structured, script-ready video narratives by applying timing estimates, retrieval prompts, and [VERIFY] markers to guide the recording process.
No dependencies are required to produce caption-ready outputs; the process uses available templates and agent workflows to export structured video scripts directly from your source material.
Accessibility annotations should be applied whenever generating episodic scripts and transcripts for pre-class work to ensure pacing, signposting, and accessible delivery are preserved for university teaching contexts.
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