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by howseen-ai · Claude Skill · ★ 104
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claude-motion-design A Claude Code skill to make motion design videos in pure code: HTML + Playwright + ffmpeg. No After Effects, no Remotion license, no editing app. Every frame is computed from time, rendered frame by frame, blended for motion blur, and cut to the beat of the music. Every sound effect lands on its measured peak. The example above is the launch video of Howseen (AI visibility tracking: see if ChatGPT, Gemini and Perplexity recommend your brand). It was made with Claude Opus 5.5 and this skill, in 5 iterations. Its full source is in . Why code instead of an editor Deterministic: the whole film is one function. Same input, same frames, every time. Fix one scene without touching the rest. Free: Chromium, ffmpeg, Python. No license, no subscription. Beat-synced by construction: scenes are placed on a beat map, the music drop is aligned to the key visual moment, SFX are placed by peak. Iterable by an AI: "make the transitions faster", "change the music", "add a 3D cube on the drop" are just code changes. Install Copy the skill into Claude Code: Python deps: pip install playwright imageio-ffmpeg numpy pillow &&
| Stars | 104 |
| Forks | 11 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 69.1273166074328/100 |
| Last Updated | 2026-09-29 |
| Created | 2026-09-27 |
| Platforms | claude-code, python |
| Est. Tokens | ~14k |
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claude-motion-design is A Claude Code skill to make motion design videos in pure code: HTML + Playwright + ffmpeg. No After Effects, no Remotion license.. It is categorized as a Claude Skill with 104 GitHub stars.
claude-motion-design is primarily written in Python. It covers topics such as claude-code, claude-skills, ffmpeg.
You can find installation instructions and usage details in the claude-motion-design GitHub repository at github.com/howseen-ai/claude-motion-design. The project has 104 stars and 11 forks, indicating an active community.
claude-motion-design is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to claude-motion-design on Agent Skills Hub include genjutsu, motiscope, ai-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
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