vox-ai-motion-graphics-generator
Reduces time-to-market for educational and explainer content by automating scripting, visual design, voiceover, and post-production—cutting weeks of manual w…
🎬 Turn any topic into a finished Vox-style paper-collage explainer / motion graphics video — script, collage keyframes, animation, voice-over, music & captions, all automated. An agent skill for Claude Code, Codex & other coding agents.
- Generate a complete Vox-style explainer video script and storyboards from a technical topic outline.
- Automate creation of motion graphics videos with AI voiceover and background music for internal documentation.
- Convert complex engineering concepts into animated paper-collage videos with captions and synchronized audio.
Reduces time-to-market for educational and explainer content by automating scripting, visual design, voiceover, and post-production—cutting weeks of manual work to minutes while maintaining professional quality.
Content teams and developer advocates creating technical explainers, product demos, or engineering documentation at scale.
https://github.com/Anil-matcha/vox-ai-motion-graphics-genera...
By Anil-matcha
How to Get It
claude plugins install Anil-matcha/vox-ai-motion-graphics-generator
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me generate a complete Vox-style explainer video script and storyboards from a technical topic outline
Trust Signals Auto-scanned
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 123 GitHub stars; contributors unknown; last commit 0d ago; license no license.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Evaluation
Scored from trust signals (evidence-eval-v1): 123 GitHub stars; contributors unknown; last commit 0d ago; license no license.