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vox-director

Turn one topic into a finished Vox-style paper-collage explainer/ad video — automated end to end on Atlas Cloud + ffmpeg. An agent skill.

Alisa0808/vox-directorcommunitylistedunreviewed

Set up

Skills are installed by placing their folder where your agent loads skills.

The download comes from github.com/Alisa0808/vox-director itself, not from our server, so what you get is exactly what its author published.

Install instructions come from the README

Skills do not use an MCP config. Follow the steps in the README below.

README

synced Oct 17, 2026

🎬 Vox Director

Turn one topic into a finished Vox-style paper-collage explainer / ad video — script, collage keyframes, motion, voice-over, music and captions, all automated.

An agent skill that runs end to end on the Atlas Cloud API + local ffmpeg, usable by any coding agent (Claude Code, Codex, etc.). You give it a one-line topic; it gives you an mp4.

License: MIT Powered by Atlas Cloud Agent Skill

https://github.com/user-attachments/assets/ed08d230-7bcb-4b48-a17d-23c079208f9f

▶ "The evolution of Chinese civilization" · 30s


What it is

The look is the modern editorial paper-collage popularized by Vox explainers: hand-cut paper cut-outs, torn edges, tape, halftone dots, newspaper clippings, bold flat color per beat, big cut-out headlines — brought to life with motion, a narrator, music and captions.

How it works

One topic flows through one script per stage, all driven by a single beats.json per project:

topic
  │
  ├─ 1. beat map        pick a narrative arc → write beats.json      ◀── GATE 1: you approve the beat map
  ├─ 2. style bake-off  render the same beat in 3–4 themes           ◀── GATE 2: you pick the look by eye
  ├─ 3. keyframes       one collage poster per beat  (nano-banana-2)
  ├─ 4. motion          animate each poster          (gemini-omni-flash i2v)
  ├─ 5. voice + music   one narrator (xai/tts) + BGM (minimax/music)
  ├─ 6. assemble        ffmpeg: concat, duck music under VO, burn captions + watermark
  └─ final.mp4

That flow is B-roll — a topic in, everything generated. Two more input modalities, plus a presenter mode, reuse the same engine:

  • A-roll — you already have a talking-head video. It is ASR-segmented into beats and re-styled into the collage look, keeping the real face, lip-sync and gestures frame-for-frame (gemini-omni-flash/video-edit, auto-retrying on seedance-2.0/reference-to-video).
  • C-roll — you have one still photo (a selfie, a product shot). The subject is cut out as a photographic sticker — never redrawn — and each beat's poster is generated around it (nano-banana-2/edit). The narration can be cloned into the subject's own voice.
  • Host — one image of a presenter. Selected beats cut to a digital presenter who speaks the narration, lip-synced, inside the collage world (16:9 and 9:16; position and size adjustable). The presenter and the world are generated as two plates and keyed together (seedance-2.0/reference-to-video + gemini-omni-flash/image-to-video).

Two ideas make or break the result, and the skill is built around both:

  1. The look is born in the image step. Each beat is a finished collage poster. All the collage DNA (torn paper, cut-outs, halftone, headline text) lives in that image — if the poster isn't a rich collage, nothing downstream saves it.
  2. The motion is added after. By default an AI video model animates the whole poster (the "living poster" path). For dramatic piece-by-piece assembly, an optional local keyframe engine cuts the poster into parts and drives them frame-by-frame (no content filters, pixel-exact — great for real people).

Two human decision gates keep you in control (approve the beat map; pick the style); everything else is automated.

Models (verified on Atlas Cloud)

JobModel
Keyframe / collage postergoogle/nano-banana-2/text-to-image
Animate (non-real content)google/gemini-omni-flash/image-to-video
Animate (real people / brands)kwaivgi/kling-video-o3-pro/image-to-video
Re-style a talking-head (A-roll)google/gemini-omni-flash/video-edit
Anchor a photo in the collage (C-roll)google/nano-banana-2/edit
Presenter on camera (Host)bytedance/seedance-2.0/reference-to-video + google/gemini-omni-flash/image-to-video
Narrationxai/tts-v1
Narration in a real person's voicebytedance/seed-audio-1.0 (voice cloning)
Musicminimax/music-2.6
Cut out an element (advanced path)youchuan/v8.1/remove-background

Model IDs drift — the skill fetches the live list from GET https://api.atlascloud.ai/api/v1/models before running.

Install

This is an agent skill — it works with any coding agent that can read a workflow and run scripts (Claude Code, Codex, …). Claude Code auto-discovers it as a skill; other agents read AGENTS.md → SKILL.md.

Option A — from this repo:

git clone https://github.com/Alisa0808/vox-director.git ~/.claude/skills/vox-director

Option B — from the packaged skill: download vox-director.skill and install it via your Claude skills UI.

Then set your Atlas Cloud API key (get one at atlascloud.ai/console/api-keys):

export ATLASCLOUD_API_KEY="sk-..."

Quick start

Just ask your coding agent, with the skill installed:

"Make me a Vox-style collage video introducing Mexican street food — English, 16:9, 15 seconds."

The agent will draft a beat map for your approval, run a style bake-off for you to pick from, then generate keyframes → motion → voice → music and assemble out/<project>/final.mp4.

Requirements

  • A coding agent — Claude Code, Codex, or similar
  • Atlas Cloud API key
  • ffmpeg + ffprobe (brew install ffmpeg)
  • Python 3 with Pillow (pip install pillow) — for caption/watermark overlays

What's in the box

SKILL.md              the skill (English) — the workflow the agent follows
SKILL.zh.md           the same skill in Chinese
AGENTS.md             entry point for non-Claude agents (Codex, …)
references/           the creative engine
  prompt-guide.md       the LOOK layer — prompt structures, vocab & 9 theme presets
  beat-layer.md         14 narrative arcs + hook/pacing + shot patterns
  voices.md             xai/tts voice roster — pick a voice_id per language/tone
  models-and-gotchas.md every API / ffmpeg gotcha, already solved
  local-engine.md       the advanced element-level motion engine
scripts/              one script per pipeline stage
examples/             ready-to-run beats.json examples
assets/               the showcase film

Credits

Built by @alisaqqt — follow for more agent-skill experiments.

Inspired by the collage-ad workflows of Stav Zilber, rom1trs and Higgsfield, and by Vox's explainer visual language.

Built end to end on Atlas Cloud — one prompt, one film.

License

MIT © 2026 Alisa Qian

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