
vox
Turns one photo into a cinematic paper-collage animation in the style of Vox explainer documentaries (halftone cut-outs with a white scissor border, torn paper, aged paper grain, stop-motion moves, slow camera push-in). Codex generates the paper layers with the user's ChatGPT plan, the real photo is cut out and printed as halftone by code, an HTML page animates everything and is captured to an MP4 (1080x1920 by default). Use when the user says vox, Vox style, "anime cette photo", "animate this photo", paper collage animation, documentary collage, or sends a photo and an animation idea; also to change an animation already made ("do it with Napoleon", "add a train", "make it night").
- Installs
- 216
- Last 24h
- +20
- Trending rank
- #5782
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/melvynx/video-agent-skills --skill vox- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads vox automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Vox
One photo and one idea in, a 6 to 15 second paper-collage animation out, in the look of Vox explainer documentaries. Then every change is one more prompt: another person, another place, another object, the same animation.
Talk to them in their language. <dir> = video-agent/vox/<slug>/ in their project (slug: 2 to 4 words of the idea, kebab-case).
video-agent/vox/<slug>/
├── photo.jpg their photo, untouched
├── layers/ every layer of the collage (PNG with alpha, plates in JPG/PNG)
├── raw/ Codex renders before the chroma cut, and the job logs
├── shots.json the layers asked to Codex (name, kind, ar, subject)
├── animation.html the animation: window.setT(t), opens in any browser and plays
├── capture.mjs frames -> MP4
└── <slug>.mp4
1. Tools (once)
codex --version && codex login status
ffmpeg -version | head -1
node --version
- Codex missing:
npm i -g @openai/codex(Node 20+) orbrew install codex. Not logged in: they runcodex loginthemselves ("Sign in with ChatGPT"). Never ask for a key or a password in the chat. - ffmpeg missing:
brew install ffmpeg(macOS),sudo apt install ffmpeg(Linux),winget install Gyan.FFmpeg(Windows). - Then in
<dir>:npm init -y >/dev/null && npm i puppeteer@24(headless Chrome for the capture, downloaded once).
2. The plan (one message, then their yes)
From the photo and the idea, plan the collage like a page of a magazine, then the moves:
- The hero: their photo, always the REAL photo (never redrawn by an AI: faces drift). Cut out (step 3) and printed as halftone by code in the page.
- A background plate: one full-frame 9:16 paper scene that sets the place and the time (a sky, a city, a map, a desk, a sheet of aged paper).
- 3 to 6 cut-outs: the objects of the story (a monument, newspapers, banknotes, a car, a building, clouds, birds). Each one is a separate layer so it can move on its own.
- The moves (6 to 15 s): the camera pushes in slowly the whole time, layers enter one by one every 0.5 to 1.5 s (slide in, rise from below, drop from above, a torn-paper wipe), something keeps living (clouds drifting, a bird flapping with two cut-outs, notes falling), one title on a torn paper strip if the idea has one (a place and a year, a name). All on a 12 fps stop-motion clock.
Show the layers as a numbered list (name, plate or cut-out, what it shows) and the beat timeline in 4 to 6 lines. Wait for a yes: each layer is one Codex image on their plan.
3. Their photo: cut out, never redrawn
mkdir -p <dir>/layers <dir>/raw
cp "<their photo>" <dir>/photo.jpg
uvx --from "rembg[cpu,cli]" rembg i <dir>/photo.jpg <dir>/layers/hero.png
uvx comes with uv (curl -LsSf https://astral.sh/uv/install.sh | sh, or pip install uv). The first run downloads the model (about a minute). Look at the PNG: a clean silhouette, no chunk of background left. Then:
- Cut-out bad or no uv: keep the photo as a rectangular print instead, it is very Vox too:
layers/hero.jpgplaced as a print with a white border and torn edges (seereferences/animation.md, "The photo as a print"). - A person who never had a photo (Napoleon, a painting): an engraving or painting from the public domain (Wikimedia Commons), cut out the same way.
- Only photos of people who agreed, or public-domain images. Say it once if they send someone else's photo.
The halftone, the white scissor border and the shadow are added by the page (references/animation.md), so the real photo stays the real photo.
4. The layers with Codex
Write <dir>/shots.json and build every prompt with references/look.md: the subject, plus the green-screen sentence for a cut-out, plus the style sentence. Never the word "Vox" in a prompt, never a logo, a wordmark or any readable text in an image (newspapers and notes get illegible type texture only).
Run the jobs with the command of references/look.md, 3 at a time in the background, always ending with < /dev/null. A job takes 1 to 3 minutes. Then for each cut-out, the chroma cut:
ffmpeg -v error -y -i <dir>/raw/<name>.png -vf "colorkey=0x00FF00:0.30:0.10,despill=type=green:mix=0.6:expand=0,format=rgba" <dir>/layers/<name>.png
Check each layer by eye: put it on red to see any green fringe (ffmpeg -v error -y -f lavfi -i color=red:s=1024x1536 -i <layer> -filter_complex "[1:v]scale=1024:-1[a];[0:v][a]overlay=0:0" -frames:v 1 <dir>/raw/check-<name>.png), and no text or letters in it. A bad one: fix the subject and run that one again.
5. The animation page
Write <dir>/animation.html from the template of references/animation.md (the whole page is there, tested) and adapt it to the plan: the layers, their sizes and places, the timeline in setT. The rules that make it look like a Vox documentary are in the same file. Keep setT(t) a pure function of t: the capture calls it frame by frame.
Open it in their browser to preview (it plays on its own): open <dir>/animation.html (macOS), xdg-open (Linux), start (Windows). Fix what looks wrong before the capture.
6. The MP4
Write <dir>/capture.mjs from references/animation.md, then:
cd <dir> && node capture.mjs animation.html <slug>.mp4
About 4 s of work per second of video. Look at 3 frames (start, middle, end) before showing it: ffmpeg -v error -y -ss <t> -i <slug>.mp4 -frames:v 1 -vf scale=540:-1 raw/frame-<t>.jpg. Hand over the MP4 path. Music or a voice go on top in their editor, or with /short-editing.
7. Change it with one more prompt
Same <dir>, same page, only what changes:
- Another person ("do it with Napoleon"): a new hero (step 3), same layers, same timeline: the page swaps
layers/hero.pngand is captured again. - Another object or place: one new Codex layer (step 4), placed in the page, the rest stays.
- Another move or timing: only
setT. Another format: see "Formats" inreferences/animation.md.
Never regenerate layers that did not change.
Honest limits
- Codex's image tool decides the details: a layer can come with letters on it or a green fringe. Always look.
- The cut-out of a busy photo can miss hair or fingers: the print version is the safe fallback.
- Each layer counts against their ChatGPT plan's Codex limits.
- The look is inspired by Vox's documentaries: never their name, logo or wordmark on screen.
FAQ
What does the vox skill do?
Turns one photo into a cinematic paper-collage animation in the style of Vox explainer documentaries (halftone cut-outs with a white scissor border, torn paper, aged paper grain, stop-motion moves, slow camera push-in). Codex generates the paper layers with the user's ChatGPT plan, the real photo is cut out and printed as halftone by code, an HTML page animates everything and is captured to an MP4 (1080x1920 by default). Use when the user says vox, Vox style, "anime cette photo", "animate this photo", paper collage animation, documentary collage, or sends a photo and an animation idea; also to change an animation already made ("do it with Napoleon", "add a train", "make it night").
How do I install vox?
Run npx skills add https://github.com/melvynx/video-agent-skills --skill vox in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/vox/ (personal) or .claude/skills/vox/ (project).
Which AI agents can use vox?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is vox safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains vox?
It is published by melvynx in melvynx/video-agent-skills. It has 216 recorded installs.
More from melvynx/video-agent-skills
short-editing
melvynx/video-agent-skills
Edits a talking-head take end to end into a paper-style motion design short (1080x1920, also 1:1 and 16:9) with its own render engine (Node + Chrome + ffmpeg, free, offline). Use when the user says edit, cut, captions, subtitles, motion design, montage, "make it a short", render, or gives a recording from video-agent/takes/. Transcribes locally with word timings (whisper.cpp, or ElevenLabs when a key is set), cuts every silence, lays the boards on a textured paper above the camera card (counters, terminals, logos, trees, real screens, HTML motion components), word-by-word captions, a calm music bed, a few designed hits, -14 LUFS, and writes the mp4, an .srt and the post copy.
codex-images
melvynx/video-agent-skills
Generates images with Codex (OpenAI's coding agent and its built-in image tool, included in a ChatGPT plan) - YouTube thumbnails, covers, B-roll stills, board images, profile pictures - one Codex job per image, several in parallel, with the creator's photos as reference when the face matters, then copies them into the project with a manifest. Use when the user says generate an image, a thumbnail, a cover, make me a visual, codex images, génère une image, miniature, or when publish or short-editing needs an image.
studio-script
melvynx/video-agent-skills
The scriptwriter of the creator's videos - short-form scripts (YouTube Shorts, TikTok, Instagram Reels, 30 to 60 s) in their own voice from video-agent/voice.md, each on a concept proven by the niche's outliers, with 3 scored hooks from 22 formulas, a re-hook, triggers, offer proximity, quality gates, timing at their pace and visual notes, then a humanize pass (invisible characters, AI words in English and French, AI sentence shapes, facts kept). Modes - the week (default), one topic, a funnel or divisive script, a making-of, hook printer, rewrite, humanize, and viral (what over-performs in their niche, scored against each account's median, YouTube free with yt-dlp, TikTok and Instagram through Treg, into video-agent/swipe.md). Use when the user asks for scripts, ideas, this week's videos, a funnel or divisive (clivant) script, a making-of, a hook, a better hook, to rewrite a script, what goes viral, viral hooks, what works in my niche, competitor research, swipe file, outliers, or to
studio-setup
melvynx/video-agent-skills
Open the skill to read its SKILL.md instructions.
steal
melvynx/video-agent-skills
Open the skill to read its SKILL.md instructions.
clips
melvynx/video-agent-skills
Turns one long video (YouTube link, podcast, webinar, livestream, or a local file) into finished vertical shorts. Use when the user says long to short, repurpose, long video to shorts, clips from my video, podcast clips, cut my YouTube video into shorts, or gives a long video link. Finds clips that stand alone (one idea, 20 to 60 seconds), scores them, cuts them and edits each one with short-editing (split-screen paper look, captions, cuts, hook, boards, 1080x1920), and writes new scripts in the studio-script format from the ideas too spread out to clip. Reads YouTube captions and chapters with yt-dlp, or transcribes a local file with the short-editing engine (whisper.cpp, free, offline).
Popular frontend & design skills
setup-matt-pocock-skills
mattpocock/skills
Configure this repo for the engineering skills: set up its issue tracker, triage label vocabulary, and domain doc layout. Run once before first use of the other engineering skills.
frontend-design
anthropics/skills
Guidance for distinctive, intentional visual design when building new UI or reshaping an existing one. Helps with aesthetic direction, typography, and making choices that don't read as templated defaults.
hyperframes-animation
heygen-com/hyperframes
All animation knowledge for HyperFrames — atomic motion rules, multi-phase scene blueprints, scene transitions, broader motion-design techniques, AND the seven runtime adapters (GSAP default, plus Lottie, Three.js, Anime.js, CSS keyframes, Web Animations API, TypeGPU). Use for any motion or animation task: pick 2-4 rules and compose, or load a blueprint, or look up runtime-specific API (e.g. GSAP eases / Lottie player / Three.js mixer). Also covers auditing an existing composition's choreography (animation map) and 24 named text-animation effects. HyperFrames-native: single paused timeline, seek-safe, deterministic.
prototype
mattpocock/skills
Build a throwaway prototype to answer a design question. Use when the user wants to sanity-check whether a state model or logic feels right, or explore what a UI should look like.
hyperframes-core
heygen-com/hyperframes
The HyperFrames composition contract — build one renderable project. Use for composition structure, the data- timing attributes, class="clip", tracks, sub-compositions, variables, framework-owned media playback, deterministic-render rules, and validation. Read before writing composition HTML.
vercel-react-best-practices
vercel-labs/agent-skills
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.