vox-explainer

Generates narrated Vox-style explainer videos from a topic prompt using Atlas Cloud APIs and ffmpeg.

107|16|Updated Jul 11, 2026
One-click install
npx skills add https://github.com/CK42BB/vox-explainer-skill --skill vox-explainer-ck42bb
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: vox-explainer
Source: https://github.com/CK42BB/vox-explainer-skill
Command: npx skills add https://github.com/CK42BB/vox-explainer-skill --skill vox-explainer-ck42bb

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, and includes references (resource) components.

What problem does it solve? Producing a narrated, subtitled, scored explainer video normally requires coordinating scriptwriting, voiceover recording, illustration, animation, music licensing, and video editing across many tools. This Skill orchestrates that entire pipeline from a single topic prompt, producing a finished MP4 without manual editing. ## Core Features & Use Cases - Six-stage pipeline: script writing, xAI TTS voiceover, Seedream 5.0 Pro keyframes, Gemini Omni Flash animation, MiniMax Music 2.6 scoring, and local ffmpeg assembly with burned-in ASS subtitles and sidechain music ducking. - VO-first timing and style anchoring: narration durations drive all clip timing, and a single approved anchor frame plus Seedream's edit endpoint keeps palette and framing consistent across every keyframe. - Resumable project state: all artifacts live in project files (script.json, vo_durations.json, per-beat assets), so any single beat can be regenerated without redoing the film. - Use Case: Ask for a 60-second explainer about the Tang Dynasty golden age and receive a subtitled, mixed, faststart MP4 with collage-style visuals, narration, and an instrumental score. ## Quick Start Ask the assistant to make a 60-second Vox-style explainer video about a topic of your choice, with the ATLASCLOUD_API_KEY environment variable set and ffmpeg installed.

Frequently Asked Questions about vox-explainer

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

FAQPage Schema
How do I make a Vox-style explainer video with AI?▼

Set the ATLASCLOUD_API_KEY environment variable, install ffmpeg with libass, and ask for an explainer on your topic. The skill writes a beat-structured script, generates voiceover first to drive timing, creates consistent keyframes, animates them, adds music, and assembles a subtitled MP4 with ffmpeg.

How much does it cost to generate a 60-second AI explainer video?▼

Roughly $3-8 per 60-second film at July 2026 Atlas Cloud pricing, with animation dominating the cost at about $0.112 per second of video. The skill quotes a budget before the first expensive stage and offers a cheaper video tier for draft passes.

How do I keep AI-generated video frames visually consistent?▼

Use the style anchor pattern: generate one approved anchor frame, then produce remaining frames with Seedream 5.0 Pro's edit endpoint using the anchor as a reference image. This locks palette, texture, and framing across every keyframe in the film.

What are the requirements to run this video generation pipeline?▼

You need an ATLASCLOUD_API_KEY, ffmpeg and ffprobe built with libass for subtitle burning, and Python 3.10+ with the requests library. All model calls go through the Atlas Cloud unified API, while assembly runs locally with ffmpeg.

Can I regenerate a single scene without redoing the whole video?▼

Yes. All state lives in project files like script.json, vo_durations.json, and per-beat assets, so any stage can be re-run in isolation. You can tweak one beat's narration, keyframe, or clip and regenerate only that part.

Why does AI video animation look wrong for explainer collage styles?▼

Animation models default to footage-like motion such as 3D camera moves and morphing, which breaks the collage look. The skill constrains every prompt to subtle motion graphics vocabulary like slow 2D push-ins and parallax drift, with explicit negative constraints against camera shake and style drift.