by frankxai · MCP Server · ★ 56
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is awesome-motion-design-agent-skills safe to install? View the security audit →
Awesome Motion Design Agent Skills Web-first resources for interface motion, cinematic web interaction, programmatic video, and motion-design review workflows. This is an independent, web-first catalog. It remains useful if every FrankX link is removed: third-party primary sources lead, while companion lists appear only at the end. Start here Start with static hierarchy, animate only to clarify state or narrative, provide reduced motion, and verify performance on real devices. Earned agent skills (start here) Operators get leverage from about 5–7 named workflows, not bulk dumps. Hub: https://github.com/frankxai/awesome-hermes-agent-skills · earned index · safety gate. Motion-design agent skills | [remotion-dev/skills](http
No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
| Stars | 56 |
| Forks | 16 |
| Category | MCP Server |
| License | CC0-1.0 |
| Quality Score | 61/100 |
| Open Issues | 4 |
| Last Updated | 2026-10-14 |
| Created | 2026-06-18 |
| Platforms | browser, claude-code, codex, mcp |
| Est. Tokens | ~17k |
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awesome-motion-design-agent-skills is Curated motion design agent skills: GSAP, Motion, Remotion, Lottie and Rive for web animation, programmatic video and motion QA. Installable in Claude Code, Codex, Copilot.. It is categorized as a MCP Server with 56 GitHub stars.
You can find installation instructions and usage details in the awesome-motion-design-agent-skills GitHub repository at github.com/frankxai/awesome-motion-design-agent-skills. The project has 56 stars and 16 forks, indicating an active community.
awesome-motion-design-agent-skills is released under the CC0-1.0 license, making it free to use and modify according to the license terms.
The top alternatives to awesome-motion-design-agent-skills on Agent Skills Hub include awesome-ai-agent-skills, agent-skills, agent-designer. 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.
Sources & who's responsible: