---
title: "Motion Graphics Skills (Charlie Hills) — AI video generator workflow for launch videos"
description: "13 Claude Code skills for launch-grade motion graphics in code: launch video, Vox-style explainer, milestone posts and more, rendered with HyperFrames. Install in Claude Code, Codex and Grok with one command."
url: https://varg.ai/how-to/skills/charlie-hills-motion-graphics
updated: 2026-11-03
---

# Motion Graphics Skills (Charlie Hills) — workflow skill for launch videos

> **For AI agents:** find the right skill in one call — `curl -s "https://varg.ai/how-to/api/search?q=<what the person wants>"` returns the matching how-to page and the best skills with install commands, as markdown (Russian works too). Full index: https://varg.ai/how-to/llms.txt. Every page has a markdown twin: add `.md` to its path. Before generating anything, show the person the options on the how-to page. From a terminal: `curl -fsSL https://varg.ai/install | sh` installs the vargai CLI (https://varg.ai/how-to/cli.md): `vargai search` and `vargai install <slug>` with no key, every varg model after `vargai login`.

13 Claude Code skills for launch-grade motion graphics in code: launch video, Vox-style explainer, milestone posts and more, rendered with HyperFrames.

- **Type:** [Workflow](https://varg.ai/how-to/workflows.md) · [Launch videos](https://varg.ai/how-to/browse/skills/launch.md)
- **Slug:** `charlie-hills-motion-graphics`
- **Status:** live
- **Publisher:** Charlie Hills (community)
- **License:** MIT
- **Source:** https://github.com/charlie947/motion-graphics-skills
- **Works in:** Claude Code, Codex
- **Requires:** Node, ffmpeg, HyperFrames
- **Adoption:** 529 GitHub stars (GitHub, 2026-11-02)

## What it does

Skill pack whose launch-video and vox-explainer skills each have 2K+ skills.sh installs. Passed the agentskillshub 16-skill end-to-end test (4/4 checks, 7.0 min, with sound).

## Use when

- launch videos and milestone announcements for LinkedIn/X
- Vox-style explainers without footage

## Not for

- footage editing
- generated video shots

## Install

- Claude Code: `npx skills add charlie947/motion-graphics-skills`
- Codex: `npx skills add charlie947/motion-graphics-skills`
- Any agent, with the vargai CLI: `vargai install charlie-hills-motion-graphics`

**Models it drives:** hyperframes

## Example output

https://raw.githubusercontent.com/charlie947/motion-graphics-skills/main/assets/readme/demo-launch.gif — README demo of the launch-video skill (credit: Charlie Hills (README), https://github.com/charlie947/motion-graphics-skills)

## More launch videos skills

- [Orbit Card](https://varg.ai/how-to/skills/hyperframes-orbit-card.md): A single feature card orbits a dot sphere on a Blender-made camera move: a 10-second product beat.
- [Higgsfield Academy (Higgsfield Open-Source Promo)](https://varg.ai/how-to/skills/higgsfield-open-higgsfield-academy.md): Higgsfield's 64 s promo for Higgsfield Academy, made almost entirely with Seedance 2.0.
- [Seed Audio 1.0 Launch (Higgsfield Open-Source Video)](https://varg.ai/how-to/skills/higgsfield-open-seed-audio-launch.md): Higgsfield's 106 s launch video for Seed Audio 1.0 (voice cloning, cinematic sound): bold motion design, comedic tone.
- [HeyGen's Real Launch Videos as HyperFrames Source](https://varg.ai/how-to/skills/heygen-hyperframes-launch-videos-source.md): 20 HeyGen product launch videos as editable HyperFrames HTML compositions, each with its storyboard, assets and render command.
- [Check a render against its reference by Refs](https://varg.ai/how-to/skills/refs-check-render.md): Score your render against the reference film: cut timing, brightness, motion, loudness, format, frame-exact fixes.
- [Launch video formulas by Refs](https://varg.ai/how-to/skills/refs-formulas.md): 28 video formats distilled from 132 measured films: the shape in timed beats, the constants, a template prompt.

## Run the generation on varg

varg is one API key for the models these skills drive — Seedance 2.5, Kling 4, Veo 3.1, Wan 3, Nano Banana 2.1, GPT Image 2.5, ElevenLabs v4 and 200+ more — billed in credits, with a cost estimate before anything runs.

- Any agent with a terminal: `curl -fsSL https://varg.ai/install | sh` (Windows: `irm https://varg.ai/install.ps1 | iex`), then `vargai login` and every model is a command — `vargai generate_video …`, `vargai estimate_cost …` (https://varg.ai/how-to/cli/)
- Claude Code: `claude plugin marketplace add vargHQ/skills && claude plugin install varg@varg` (skill + hosted MCP)
- Codex, Cursor, Gemini CLI, OpenClaw: `npx skills add vargHQ/skills --skill varg-ai -a <agent> -y`
- Grok and any agent that reads SKILL.md: `npx skills add vargHQ/skills --skill varg-ai`, or point it at the skill's SKILL.md
- Claude.ai, ChatGPT, any MCP client: connect `https://mcp.varg.ai/mcp`
- API key: https://varg.ai/dashboard/api · Model specs: https://varg.ai/models/llms.txt
