Automate long-form video repurposing into scheduled short-form social clips.
npx skills add https://github.com/Upload-Post/skill-autoshorts --skill autoshorts
Please help me install this Agent Skill. Skill: autoshorts Source: https://github.com/Upload-Post/skill-autoshorts/tree/main Command: npx skills add https://github.com/Upload-Post/skill-autoshorts --skill autoshorts
This skill solves the time-consuming bottleneck of manually editing long-form video content into short, viral clips for social media, while maintaining a human-in-the-loop approval process.
Set up the autoshorts skill by running the installation protocol defined in the repository documentation to configure your environment and API keys.
High-intent search queries and answers about installing and using this skill.
You can automate video repurposing by using a pipeline that transcribes long-form video, identifies viral moments with multimodal AI, renders hook text overlays, and schedules clips across platforms. This pipeline handles transcription, clip selection, visual rendering, and multi-platform scheduling end-to-end.
The best way to turn a 30-minute podcast into TikTok clips is to drop the file into a watch folder, letting AI-driven clipping identify viral moments, Whisper generate word-boundary-accurate cuts, and FFmpeg composite hook text overlays automatically. The skill then queues the best clips for the week.
Yes, you need local FFmpeg, Python 3.11+, and configured API credentials for Gemini and Upload-Post to run automated video clipping and scheduling. These dependencies are required for transcription, hook rendering, and multi-platform scheduling.
Yes, you can schedule draft clips across TikTok, Instagram, and YouTube automatically via the Upload-Post API. The pipeline manages drafts and multi-platform scheduling after generating and rendering the short-form clips.
Yes, AI-driven content repurposing maintains a human-in-the-loop approval process by queuing generated clips as drafts. You can review and approve the automatically selected, hook-overlaid short clips before they are scheduled across social media platforms.
Limitations of using Gemini and Whisper for automated video clip selection include the requirement of external API credentials, local FFmpeg installation, and Python 3.11+ environment setup. The pipeline also relies on a human-in-the-loop approval process rather than fully autonomous posting.
Quriosity-agentInstall Node.js, FFmpeg, and configure Volcengine API keys for video editing.
yangliu2060Generate social media post variants and visuals via MCP services.
broomvaEdit raw video footage into finished cuts using local transcription and EDL-based rendering.
sunnypatneediGenerate short-form video scripts with hooks, storytelling, and CTAs.
