Videohub Story Editor
cacity/VideoHub
把长视频或已有字幕转成有完整叙事的几分钟短片。先基于原文字幕和画面证据理解、选段与重排,再对最终时间轴重新翻译和可选润色;既可输出保留原声的双语字幕版,也可把原声降到 30% 并用 MiniMax 或豆包 TTS 生成影视解说、短剧混剪、播客串讲或知识解读版。已有项目可进入本地五轨时间线继续调整切点、旁白、原声窗口、字幕、音量和转场,并按修订版本渲染。用于“把长视频讲成短故事”“按字幕自动剪辑”…
End-to-end pipeline for producing Vox-style explainer videos from a single topic prompt.
$ npx skills add CK42BB/vox-explainer-skill --skill vox-explainer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install CK42BB/vox-explainer-skill vox-explainer --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
Claude Code skills documentation · loads skills from .claude/skills/
Install the "vox-explainer" agent skill from https://github.com/CK42BB/vox-explainer-skill/tree/main into .claude/skills/vox-explainer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vox-explainer", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add CK42BB/vox-explainer-skill --skill vox-explainer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install CK42BB/vox-explainer-skill vox-explainer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "vox-explainer" agent skill from https://github.com/CK42BB/vox-explainer-skill/tree/main into .agents/skills/vox-explainer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vox-explainer", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add CK42BB/vox-explainer-skill --skill vox-explainer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install CK42BB/vox-explainer-skill vox-explainer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "vox-explainer" agent skill from https://github.com/CK42BB/vox-explainer-skill/tree/main into .cursor/skills/vox-explainer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vox-explainer", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add CK42BB/vox-explainer-skill --skill vox-explainer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install CK42BB/vox-explainer-skill vox-explainer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "vox-explainer" agent skill from https://github.com/CK42BB/vox-explainer-skill/tree/main into .gemini/skills/vox-explainer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vox-explainer", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install CK42BB/vox-explainer-skill vox-explainerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add CK42BB/vox-explainer-skill --skill vox-explainer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "vox-explainer" agent skill from https://github.com/CK42BB/vox-explainer-skill/tree/main into .github/skills/vox-explainer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vox-explainer", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add CK42BB/vox-explainer-skill --skill vox-explainer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install CK42BB/vox-explainer-skill vox-explainer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "vox-explainer" agent skill from https://github.com/CK42BB/vox-explainer-skill/tree/main into .opencode/skills/vox-explainer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vox-explainer", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
vox-explainerEnd-to-end pipeline for producing Vox-style explainer videos from a single topic prompt.
Vox Explainer is an agent skill from CK42BB/vox-explainer-skill. End-to-end pipeline for producing Vox-style explainer videos from a single topic prompt. One topic in, finished film out — script, keyframes (Seedream 5.0 Pro), animation (Gemini Omni Flash), voiceover (xAI TTS), music (MiniMax Music 2.6), all assembled locally with ffmpeg via the Atlas Cloud API. Use this skill whenever the user asks for an explainer video, a Vox-style video, a documentary short, an educational video essay, a "one prompt to video" pipeline, or wants to turn a topic/article/report into a narrated…
Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `README.md`, `references/atlas-cloud-api.md` and `references/ffmpeg-assembly.md`).
It sits in Media & Creative, covering Video production, Text to speech and voice and Educational content. It works with MiniMax and FFmpeg. The repository describes itself as: A Claude Code skill that turns one topic prompt into a finished Vox-style explainer video. Script, keyframes, animation, voiceover, music, and local assembly — end to end. The licence is MIT.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 7003225. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
ffprobeFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
atlascloud.aiFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
ATLASCLOUD_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Vox Explainer loads about 2.6k tokens when it runs, and up to ~6.7k if it reads all its reference files. Until then it costs about 180 tokens; SKILL.md has 1,179 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from CK42BB/vox-explainer-skill at commit 7003225, republished under its MIT licence (© CK42BB). 1,179 words, ~2,634 tokens.
.claude/skills/vox-explainer/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.Produce a complete, narrated, subtitled, scored explainer video from a single topic. The pipeline runs in six stages, each producing artifacts the next stage consumes. Voiceover is generated BEFORE animation because VO duration drives all timing decisions.
TOPIC → 1.Script → 2.Voiceover → 3.Keyframes → 4.Animation → 5.Music → 6.Assembly
(Claude) (xAI TTS) (Seedream) (Omni Flash) (MiniMax) (ffmpeg)ATLASCLOUD_API_KEY environment variable set (get one at atlascloud.ai — free credits on signup)ffmpeg and ffprobe installed (with libass for subtitle burning)requestsreferences/atlas-cloud-api.md)Before making any API calls, verify current endpoint paths and model IDs against https://www.atlascloud.ai/docs — media model APIs evolve quickly. The patterns in references/atlas-cloud-api.md were verified July 2026.
Create this layout for every film and keep it — every stage reads from and writes to it:
project/
├── brief.md # topic, angle, target length, audience
├── script.json # beats with narration, shot descriptions, captions
├── audio/
│ ├── vo/ # beat_01.mp3 ... beat_NN.mp3
│ ├── vo_durations.json
│ └── music.mp3
├── frames/ # keyframe_01.png ... style_anchor.png
├── clips/ # clip_01.mp4 ... (silent animated clips)
├── subs/ # captions.ass
└── final/ # film.mp4You write this yourself. No API call. This is the stage that most determines quality — a great script with average visuals beats the reverse.
Read references/vox-style-guide.md (Writing section) before drafting. Core rules:
Write script.json:
{
"title": "Tang Golden Age",
"topic": "How Tang Dynasty China built the world's largest city",
"style_seed": "mixed-media paper collage, ink-wash Chinese mountains, vermillion red and aged cream palette",
"accent_color": "#C0392B",
"beats": [
{
"id": 1,
"narration": "In the seventh century, Tang China built Chang'an — the largest, richest city on Earth. The whole world came to its gates.",
"visual": "Emperor Taizong enthroned at center as paper cutout, court figures flanking, pagodas and ink-wash mountains behind, red seal stamp upper right reading 盛唐",
"caption_text": null,
"motion": "slow push-in on emperor, clouds drift left, subtle parallax between cutout layers"
}
]
}caption_text is for on-screen kinetic typography moments (a key stat or term) — most beats leave it null; narration subtitles are handled at assembly. motion becomes the animation prompt in Stage 4.
Generate one audio file per beat, then measure durations. These durations are the master clock for the whole film.
Call the Atlas Cloud audio endpoint per beat (model: xAI TTS v1 — see references/atlas-cloud-api.md for the exact request shape and voice selection guidance). Pick ONE voice for the whole film. Vox register: measured, warm, slightly wry — avoid "movie trailer" voices.
After generation, probe every file and write audio/vo_durations.json:
ffprobe -v error -show_entries format=duration -of csv=p=0 audio/vo/beat_01.mp3{"beats": [{"id": 1, "file": "audio/vo/beat_01.mp3", "duration": 9.83}], "total": 61.2}Sanity-check total length against the brief. If a beat runs long, tighten the narration and regenerate that beat only.
One keyframe per beat, all in a consistent visual style. Consistency is the hard problem; solve it with the style anchor pattern:
bytedance/seedream-v5.0-pro/text-to-image for beat 1 (usually the title/hook frame). Build the prompt from the style block in references/vox-style-guide.md (Visual Grammar section) + the beat's visual + the film's style_seed and accent_color. Request 16:9, 2K.bytedance/seedream-v5.0-pro/edit with the anchor as a reference image (up to 10 refs supported; anchor + optionally the previous frame). Prompt: "Keep the exact art style, palette, paper-collage treatment, and border framing of the reference. New scene: {beat.visual}"This locks palette, texture, and framing across the film the way a human art director would.
Every prompt should end with the style suffix (see style guide), which encodes the Vox look: paper cutouts with white borders, halftone dots, tape strips, bold flat geometric accents, generous margins, single accent color.
Frames with caption_text set: instruct Seedream to render the text in a bold condensed sans, since Seedream 5.0 Pro's typography rendering is strong. Keep it under 5 words per frame.
Animate each keyframe into a clip via image-to-video. Target clip duration = that beat's VO duration + 0.5s of breathing room (round up to the model's supported increments).
Motion prompts for the collage aesthetic should be SUBTLE — this is the most common failure mode. The Vox look is "motion graphics," not "footage." Good motion vocabulary:
Explicitly forbid in every prompt: "no camera shake, no 3D rotation, no morphing of faces or text, no style drift, elements remain flat paper cutouts."
Poll each generation task to completion and download to clips/clip_NN.mp4. Generations fail or drift sometimes — review each clip; regenerate any where text warps or the style breaks. Budget for ~15% regeneration.
One instrumental bed for the whole film. Request is_instrumental: true — vocals fight the narration.
Prompt formula: {mood} {genre-adjacent texture}, {tempo}, {instrumentation}, {arc}. Example for a history piece: "contemplative cinematic underscore, felt piano and soft strings with light percussion pulse, 90bpm, builds gradually from sparse to full, documentary style". Match instrumentation to subject (guzheng/dizi textures for the Tang piece; analog synth pulse for a tech topic).
Music 2.6 generates fixed-length songs; if the track is shorter than the film, loop it at assembly with a crossfade; if longer, trim with fade-out. Never let the music arc fight the film arc — a mid-track drop landing on a quiet beat is jarring, so audition the result against the film's shape.
Read references/ffmpeg-assembly.md for full recipes. The sequence:
subs/captions.ass from the script — Vox-style burned-in subtitles: bold sans, white with heavy black outline, bottom-centered, max 2 lines, split narration at clause boundaries and time each chunk within its beat's window.-movflags +faststart.Final QC pass before delivering: watch for (a) subtitle/VO sync drift, (b) music overpowering narration, (c) a clip whose motion loops visibly, (d) style drift between frames. Fix at the stage where the problem originated, not with assembly hacks.
prompts.log file — reproducibility matters and users will want to tweak-and-regenerate single beats.beats × ($0.10 image + ~$1.20 per 10s clip) + ~$0.50 audio.references/vox-style-guide.md — read before Stage 1 and Stage 3. The visual grammar, writing voice, and prompt templates.references/atlas-cloud-api.md — read before Stage 2. Endpoints, model IDs, async task pattern, polling code, costs.references/ffmpeg-assembly.md — read before Stage 6. Conform, concat, subtitle, ducking, and encode recipes.© CK42BB, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 5 other files (references) in the repository root of CK42BB/vox-explainer-skill.
Open the folder on GitHubat commit 7003225
Vox Explainer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Vox Explainer this skillCK42BB/vox-explainer-skill | 110 | — | ~2.6k | Automated safety check: Pass | MIT | |
| Videohub Story Editorcacity/VideoHub | 167 | — | ~2.3k | Automated safety check: Notes | MIT | |
| Explain Videolimin112/min-skill | 359 | — | ~2.4k | Automated safety check: Pass | None | |
| Qiaomu Cutjoeseesun/qiaomu-cut-skill | 369 | — | ~6.8k | Automated safety check: Notes | MIT | |
| Video Productionspeechlab0210/video-production-skill | 105 | — | ~4.1k | Automated safety check: Notes | MIT | |
| ShowtimeFavioVazquez/showtime | 158 | — | ~3k | Automated safety check: Pass | MIT |
cacity/VideoHub
把长视频或已有字幕转成有完整叙事的几分钟短片。先基于原文字幕和画面证据理解、选段与重排,再对最终时间轴重新翻译和可选润色;既可输出保留原声的双语字幕版,也可把原声降到 30% 并用 MiniMax 或豆包 TTS 生成影视解说、短剧混剪、播客串讲或知识解读版。已有项目可进入本地五轨时间线继续调整切点、旁白、原声窗口、字幕、音量和转场,并按修订版本渲染。用于“把长视频讲成短故事”“按字幕自动剪辑”…
limin112/min-skill
Build a narrated explainer video from a concept — discussion → structure → HTML slide deck → narration script → TTS voice → subtitles → background music → Playwright screen recording → ffmpeg…
joeseesun/qiaomu-cut-skill
把一句话需求转成可复现、可验收视频工程的乔木智能剪辑导演。Use when the user asks to create, plan, edit, remix, explain, narrate, subtitle, animate, composite, or render a video—including one-line requests such as “制作一个科普视频:介绍…
speechlab0210/video-production-skill
AI educational video production pipeline. An agent skill from speechlab0210/video-production-skill.
FavioVazquez/showtime
A skill your agent uses when the user wants a video made, edited or finished: a launch or promo, product demo, explainer, trailer or teaser, tutorial or walkthrough, a screen recording turned into a…
architectds/modeldock
Turn arbitrary source content (README, article, story, slides, deck, data/report, product description, tutorial text, audio/transcript, or a bare topic) into a finished, high-quality MP4 video.
Categories
End-to-end pipeline for producing Vox-style explainer videos from a single topic prompt. Vox Explainer is an agent skill from CK42BB/vox-explainer-skill. End-to-end pipeline for producing Vox-style explainer videos from a single topic prompt.
Vox Explainer fits situations like: the user asks for an explainer video; A Vox-style video; A documentary short; an educational video essay.
Run `npx skills add CK42BB/vox-explainer-skill --skill vox-explainer -a claude-code`. Or copy the skill folder (the CK42BB/vox-explainer-skill repository) into .claude/skills/vox-explainer in your project. Claude Code loads it when a task matches its description.
Run `npx skills add CK42BB/vox-explainer-skill --skill vox-explainer -a codex`. Or copy the skill folder (the CK42BB/vox-explainer-skill repository) into .agents/skills/vox-explainer in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add CK42BB/vox-explainer-skill --skill vox-explainer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/vox-explainer, .gemini/skills/vox-explainer, .github/skills/vox-explainer and .opencode/skills/vox-explainer in your project.
Going by SKILL.md and its folder, Vox Explainer needs the command-line tools its instructions call (ffprobe) and credentials named ATLASCLOUD_API_KEY. Our summary lists: Python 3; A credential in ATLASCLOUD_API_KEY.
SKILL.md names 1 domain. As links in the text: atlascloud.ai. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Vox Explainer is published under the MIT licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.6k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Vox Explainer: Videohub Story Editor (cacity/VideoHub, 167 stars), Explain Video (limin112/min-skill, 359 stars), Qiaomu Cut (joeseesun/qiaomu-cut-skill, 369 stars) and Video Production (speechlab0210/video-production-skill, 105 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
CK42BB (a GitHub user) maintains it in CK42BB/vox-explainer-skill, which has 110 GitHub stars. The repository was last updated on July 11, 2026.
Source: CK42BB/vox-explainer-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.