by Bomx · Agent Tool · ★ 94
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Super Video Maker Skill Built by the team at Distribb — the SEO and growth autopilot for operators. → Build and scale content systems with us at distribb.io. An end-to-end AI video production skill for agentic coding frameworks. Give your Cursor, Claude Code, or other shell-capable AI agent a video idea, source link, product flow, screen recording, or script, and this skill teaches the agent how to turn it into a polished video using HeyGen avatars, screen recordings, AI b-roll, OpenAI image generation, Remotion, HyperFrames, FFmpeg, captions, music, and quality-control loops. This repo is designed to be dropped into an AI agent project as a reusable skill. It includes the actual instruction file (), deep production references, workflow examples, FFmpeg recipes, Python tools, and starter Remotion/HyperFrames templates. The flagship format is: Avatar Explainers () — proof-driven videos with a synthetic presenter, source receipts, screen recordings, UI micro-stories, captions, and action takeaways. What It Can Make Avatar Explainers: trending-news or tutorial videos with a HeyGen avatar, source receipts, b-roll, captions, and CTA outro.
| Stars | 94 |
| Forks | 12 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 75.8253782915942/100 |
| Open Issues | 1 |
| Last Updated | 2026-06-29 |
| Created | 2026-05-17 |
| Platforms | python |
| Est. Tokens | ~16k |
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super-video-maker-skill is AI video production skill for agents: HeyGen avatars, Seedance b-roll, OpenAI images, Remotion, HyperFrames, screen recording, FFmpeg captions and QC.. It is categorized as a Agent Tool with 94 GitHub stars.
super-video-maker-skill is primarily written in Python. It covers topics such as agent-skill, ai-video, ffmpeg.
You can find installation instructions and usage details in the super-video-maker-skill GitHub repository at github.com/Bomx/super-video-maker-skill. The project has 94 stars and 12 forks, indicating an active community.
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