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This skill orchestrates the full pipeline of shortform video creation—transcribing, scoring candidate segments, snapping boundaries to natural audio cuts, rendering animated captions, and exporting platform-optimized files. It helps content creators, podcast repurposers, and social media producers turn one long recording into multiple polished clips for YouTube, TikTok, and Instagram.
Compatible AgentsThe repository documents support for these agents. The skills may also work with other agents that can load SKILL.md files, but they may need some setup or small changes.
Follow the documented setup, then try a first task.
Install for Claude Code on Unix-like systems
Installs: claude-shorts bundle · Claude Code
Before you start
FFmpeg system package
jq system package
Python 3.10+
Node.js 18+
Claude Code CLI
NVIDIA GPU recommended for CUDA transcription and NVENC encoding
Git, npm, and rsync must be available.
Platform: Unix-like environment with bash
In a terminal, clone the repository, enter its project directory, install the Python and Node.js dependencies, and install the Claude Code skill.
# Clone the repository
git clone https://github.com/AgriciDaniel/claude-shorts.git
cd claude-shorts
# Install Python + Node.js dependencies
bash setup.sh
# Install as a Claude Code skill
bash install.sh
After install.sh completes, change the terminal working directory to ~/.claude/skills/shorts, the installed skill root. The installer excludes node_modules, so finish Remotion dependency setup there.
From the installed skill root, run the author-documented Remotion dependency command.
After install.sh completes, change the terminal working directory to ~/.claude/skills/shorts, the installed skill root. The installer excludes node_modules, so finish Remotion dependency setup there.
From the installed skill root, run the author-documented Remotion dependency command.
Path to a long-form video file, replacing [path/to/video.mp4]
Check the repository for this skill’s setup.
Use the shorts skill with the video at [path/to/video.mp4]. Transcribe it, identify and score candidate short-form segments, and present the candidates for my review. Stop before rendering so I can choose or adjust the segments.