This tool automates the creation of short video clips from long-form content. It processes videos and their captions to generate a comprehensive clip plan, including titles, descriptions, hashtags, tags, and categories for both the main video and individual clips. It also suggests a cold-open and creates a thumbnail mockup that aligns with the first 10 seconds, title, and description of the content.
- Automated Clip Generation: Transforms long videos and captions into multiple vertical clips.
- Metadata Creation: Generates titles, descriptions, hashtags, tags, and categories for each clip and the overall video.
- Thumbnail Mockup: Provides a visual suggestion for thumbnails that matches the content's key elements.
- Agent Skill Compatibility: Adheres to the Agent Skills format, making it compatible with various AI coding agents like Claude Code, OpenAI Codex, Cursor, Gemini CLI, and GitHub Copilot.
- Customizable Workflows: Adapts to user-specified recorders and editors, storing export and cut steps in a profile for personalized use.
- Local Processing: Operates entirely on the user's machine without network access, ensuring privacy and security.
- Dependency Management: Requires standard Python libraries, Pillow, and ffmpeg.
- Comprehensive Output: Delivers a detailed clip plan in both Markdown and JSON formats, along with preview clips, frame analysis, and thumbnail mockups.
The tool is designed to streamline the content repurposing process, allowing creators to efficiently generate engaging short-form content from existing long-form videos. It emphasizes accuracy by cross-referencing captions, audio energy, and visual cues to ensure clip relevance and quality. The output is designed for easy integration into editing workflows and direct use in publishing platforms.