Generate scene-by-scene video scripts as JSON arrays with timecodes.
npx skills add https://github.com/sjbaik0431/claude --skill 3d-script
Please help me install this Agent Skill. Skill: 3d-script Source: https://github.com/sjbaik0431/claude/tree/main/skills/3d-script Command: npx skills add https://github.com/sjbaik0431/claude --skill 3d-script
Generating thorough, ready-to-use video editing scripts is time-consuming and requires domain expertise. This skill automates scene-by-scene script creation, reducing pre-production time and ensuring consistent structure across videos.
Enter the video topic and total duration to have the app automatically generate a scene-by-scene editing script with timecodes and screen descriptions.
High-intent search queries and answers about installing and using this skill.
To generate a scene-by-scene video editing script automatically, you input the video topic, type, duration, mood, and special requests. The system then outputs a JSON array of scenes containing timecodes, shot types, screen descriptions, narration, and BGM details.
Yes, you can use this scene scripting tool for SNS short-form videos, YouTube content, advertising, and documentary workflows. It adapts the generated scene structure, timecodes, and BGM suggestions to fit the specific requirements of each video format.
The generated video timeline script uses a valid JSON array format with timecodes in HH:MM:SS format. This structure ensures the scene data, including shot types and narration, is ready for direct rendering in a frontend React application.
To get BGM suggestions and shot types for video pre-production, provide your video topic and total duration. The system processes these inputs to output a complete JSON timeline array, automatically suggesting appropriate background music and camera shots for each scene.
Yes, the generated JSON script includes timecodes formatted in HH:MM:SS, screen descriptions, and narration for every scene. It returns a complete JSON array ensuring all scene-specific data is available for direct integration into your editing workflow.
When automating multi-scene scripts for documentaries, the output is strictly a JSON array of scenes without built-in video editing capabilities. You must use a separate frontend React application to render the timeline and integrate the timecode data into your actual video editor.
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