Motion Video logo

Motion Video

Organization
bestagentkits
motion-video

Produce beat-synced 1080p motion-graphic videos in HyperFrames (HTML + GSAP) with an AI voice-over, Vietnamese karaoke captions, SFX and generated music, in one of two proven styles (glass keynote or Spider-Verse-style comic). Use when the user asks for a launch/release/feature video, motion graphic, animated explainer or promo clip, or a restyle of an existing one.

Overview

Publisherbestagentkits
Repositorymotion-video-skill
Skill namemotion-video
Stars
124
Forks
40
Bundled files
21
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 21 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by bestagentkits on GitHub. Read the source before you install it.

Installation

Install the Motion Video AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/bestagentkits/motion-video-skill/tree/main/skills/motion-video
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/bestagentkits/motion-video-skill.git /tmp/motion-video-skill
mkdir -p .claude/skills
cp -r /tmp/motion-video-skill/skills/motion-video .claude/skills/motion-video
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Motion Video in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Motion Video on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Motion Video is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Motion video

Make a 1920×1080 30 fps motion-graphic video where the scene cuts land on the music's beats, reveals land on spoken words, and the audio is broadcast-clean. The workflow is fully scripted: facts → script → multix audio → forced alignment → beat grid → bar-spliced music → timeline + mix → HTML composition → lint/check/snapshot → render → remux → social encode.

Two finished editions show what each style should feel like. Their working projects are deliberately not bundled here: the generated voice-over, music and SFX are large and provider-licensed. Study the published demo, then build every new video from assets/templates/index-skeleton.html plus the style reference.

StyleStyle referencePublic demoFeel
Comic multiversereferences/style-comic-spiderverse.mdDewee v3.34 comic edition, the 151 s social encodeloud, playful, hand-made
Glass keynotereferences/style-glass-keynote.mdthe 144 s edition of the same releasepremium, calm, clear

Scope

This skill handles:

  • New videos in either style, restyles of an existing video as a separate project, and partial reworks (new music, re-timed drops, re-mix, re-render, social encode).
  • Audio through the multix CLI: Gemini TTS voice, ElevenLabs SFX, ElevenLabs Music composition plans, ElevenLabs forced alignment.

This skill does NOT handle:

  • Generative text-to-video footage (use multix Seedance/Veo directly).
  • React/Remotion compositions or generic HyperFrames questions (use the hyperframes or remotion skills).
  • Publishing to social accounts: produce the file and let the user post it.

How to work

  1. Pin the outcome before touching files: topic and sources, style (one of the two, or a new one derived from them), duration, voice language (English VO + Vietnamese captions by default), ending, signature. Ask only if the style or the facts source is unknown.
  2. Create assets/videos/<slug>/ (never overwrite a finished edition) and a plan under plans/ following the repo convention. Copy the templates from assets/templates/ of this skill: scripts/*.mjs, data/*.example.json (rename to .json), hyperframes.json, index-skeleton.html as index.html, plus scripts/fit-beat-grid.py.
  3. Follow references/production-pipeline.md step by step. Each step writes a file the next one reads, so do not reorder them.
  4. Get the music right with references/audio-and-beat-sync.md: fit the grid, splice bars so the drops land where the script needs them, verify the splice, and measure the voice/music balance.
  5. Build index.html with references/composition-contract.md and the chosen style reference, starting from assets/templates/index-skeleton.html. When a scene type repeats (stats, diagrams, charts, terminal, graph, outro), follow the demo's choreography for that scene instead of inventing a new one.
  6. Finish only when every check in "Done when" passes; report measured numbers, not impressions.

Keep credentials inside multix's own config. Never print API keys or copy them into project files, plans or reports.

Done when

  • hyperframes lint and check pass; snapshots of every scene were reviewed.
  • verify-arrangement.py reports every segment within ±2 ms and measure-mix-balance.py shows the music ~4–6 dB under speech.
  • ffprobe: 1920×1080, 30 fps, expected duration, AAC 48 kHz stereo; ebur128 ≈ −14 LUFS with peak ≤ −1 dBFS; blackdetect finds nothing outside fades.
  • build-timeline printed no clip/overlap/missing-word warnings.
  • On-screen facts trace to the sources collected in step 1.

Resources

  • references/production-pipeline.md: every command from scaffold to social encode and studio preview, plus the rebuild table.
  • references/audio-and-beat-sync.md: voice, SFX cues, music plans, bar-splice arrangement, anchors, mix numbers and the ducking pitfall.
  • references/composition-contract.md: TIMING shape, helpers, determinism, scene windows, captions, mascot, renderer limits, signature.
  • references/style-glass-keynote.md / references/style-comic-spiderverse.md: tokens, fonts, layers, components, transitions and caption look per style.
  • scripts/fit-beat-grid.py <music> [--min-bpm N --max-bpm N]: BPM, BEAT0 and a per-bar kick/energy table.
  • scripts/verify-arrangement.py <project> [--tolerance-ms 2]: splice lag per segment; exits 1 on drift.
  • scripts/measure-mix-balance.py <project>: music under speech vs in gaps, from build-timeline.mjs --stems.
  • scripts/tests/: python -m unittest discover -s scripts/tests (needs ffmpeg, numpy, scipy).
  • assets/templates/: project scripts (generate-audio-assets, align-voiceover, arrange-music, build-timeline), example data files and the composition skeleton.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Motion Video AI skill do?

Produce beat-synced 1080p motion-graphic videos in HyperFrames (HTML + GSAP) with an AI voice-over, Vietnamese karaoke captions, SFX and generated music, in one of two proven styles (glass keynote or Spider-Verse-style comic). Use when the user asks for a launch/release/feature video, motion graphic, animated explainer or promo clip, or a restyle of an existing one.

Why use Motion Video on TypingMind?

Because you install it once and use it with any model. Motion Video is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Motion Video in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/bestagentkits/motion-video-skill/tree/main/skills/motion-video. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Motion Video?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Motion Video?

As many as you like. As long as a model supports skills, you can use Motion Video with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Motion Video AI skill free?

Yes. It is published on GitHub by bestagentkits under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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