Arch Video Cut

What This Skill Does

Arch Video Cut is a powerful, automated toolkit designed for architecture professionals and digital creators to streamline the post-production process of building showcase videos. It acts as an end-to-end processing engine that ingests raw architecture footage and narration audio, automatically outputting polished, professional-grade videos in both landscape and portrait orientations. The core strength of the skill lies in its self-learning preference engine, which remembers your stylistic choices—such as font sizing, background music intensity, and video compression pacing—to ensure that your brand identity remains consistent across multiple projects. By automating the technical overhead of video editing (merging, transcoding, subtitling, and mixing), it allows creators to focus on the storytelling and design aspects of their architecture projects rather than manual clip management.

Installation

To integrate this skill into your workflow, run the following command in your terminal: clawhub install openclaw/skills/skills/baushua/arch-video-cut. Ensure that you have ffmpeg installed on your system to support high-fidelity subtitle rendering, and install the faster-whisper Python package if you wish to leverage the automated speech-to-text features. Once installed, navigate to the local directory ~/.openclaw/workspace/skills/arch-video-cut to confirm the installation structure.

Use Cases

This skill is ideal for architects creating social media portfolios (Instagram Reels/TikToks), design firms producing quick project case study videos, or content creators documenting urban renewal. It effectively bridges the gap between high-quality architectural photography and the modern necessity for short-form video engagement.

Example Prompts

1. "OpenClaw, run the Arch Video Cut workflow on the latest project files located in the data/m1/ folder."
2. "Update my architecture video preferences to increase background music volume and set the portrait font size to 12px."
3. "Execute the full video editing workflow using my recorded narration file and the latest batch of site visit clips."

Tips & Limitations

To maximize results, ensure your raw video clips are organized within the data/m1/ directory. While the tool is highly capable, remember that complex narrative structure should be defined in the subtitles_text function to ensure accurate timing. Users should note that the self-learning system improves over time, so frequent use will lead to more accurate aesthetic alignment. Always back up your raw source files before executing large batch merges.