AutoShorts AI — Data skill for Claude Code
100% local AI pipeline to convert long-form videos into viral 9:16 Shorts & Reels.
How to install AutoShorts AI
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open FairoozAlamMahi/AutoShorts_AI and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What AutoShorts AI does
100% local AI pipeline to convert long-form videos into viral 9:16 Shorts & Reels. Orchestrated via AI agents (MCP/Claude) or run fully offline on 8GB VRAM with zero token costs. Faster-Whisper, kinetic pop captions, NVENC 60FPS & Gradio UI. $0 cloud fees.
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README
AutoShorts AI
[](https://www.python.org/) [](LICENSE) []() []() []()
AutoShorts AI is an offline-capable, automated video repurposing engine designed to transform long-form horizontal content—such as podcasts, interviews, streams, tech tutorials, educational lectures, talking-head videos, and gameplay—into high-retention 9:16 vertical shorts (YouTube Shorts, TikTok, and Instagram Reels).
The system features dual operating paradigms: it can be orchestrated programmatically by autonomous AI agents via the Model Context Protocol (MCP), or it can execute completely offline using local models on consumer-grade GPUs (8 GB VRAM baseline) with zero mandatory cloud API costs.
Operating Modes
1. AI Agent and MCP Orchestration
AutoShorts AI exposes an `AgentToolkit` and MCP automation interface. External AI agents (such as Claude, Antigravity, or custom autonomous workflows) can programmatically inspect media metadata, analyze transcript context, refine narrative boundaries, select visual framing modes, and dispatch rendering and YouTube scheduling tasks without manual human intervention.
2. Autonomous Local Fallback (Zero Token Cost)
When cloud API quotas are exhausted or privacy is strictly required, AutoShorts AI runs entirely on your local machine:
- Speech-to-Text: Local Faster-Whisper execution with Voice Activity Detection (VAD).
- Semantic and Visual Verification: Local Vision-Language Models (VLMs) via Ollama (e.g., Qwen 2.5 VL) or lightweight rule-based heuristic scoring.
- Resource Lease Management: Sequential GP
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