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zhenxin-ai-video-manager

Workflow Updated 2026.08.25

Run the following command in DeepSeek Harness:

dsh plugin install liuke-zhu/zhenxin-ai-video-manager

Paste the following prompt into your AI chat to install this plugin:

Run dsh plugin install liuke-zhu/zhenxin-ai-video-manager in the DeepSeek Harness terminal to install; see the repository at https://github.com/liuke-zhu/zhenxin-ai-video-manager

About this plugin

You have a pile of raw footage and want a finished video, but the idea of dragging clips on a timeline, adjusting subtitles, and mixing voiceover in a NLE feels like a chore. This plugin takes a different route: describe what you want in plain language, and the agent orchestrates the entire pipeline — material analysis, rough cut, subtitle burn-in, local AI voiceover, and final composite — using open-source tools that all run on your own machine. Nothing leaves your computer.

It follows a conservative editing philosophy: only clearly redundant gaps, duplicates, and bloopers are trimmed automatically; anything semantically uncertain is kept as-is. Source files are read-only — never moved, deleted, or overwritten. Every revision produces a new version, and any clip you remove can be recovered from the original material at any time. Before handing the result over, it verifies the output with FFprobe to confirm the file actually exists, is readable, and matches the target aspect ratio and duration.

It is built for solo creators, podcasters, and instructional-video makers who have real footage and need a fast turnaround without becoming editors. It does not generate footage from scratch, does not auto-publish to any platform, and does not call paid cloud services. If you want a second pass in CapCut or Jianying, an optional draft export lets you open the project and keep polishing right where the agent left off.

Use Cases

  • Turn a pile of phone clips into a polished short video with a single prompt
  • Clean up a podcast recording — trim dead air, generate subtitles, and add AI narration
  • Post-process a lecture screen recording — remove stumbles, burn in captions, and deliver

Best For

  • Solo creators who have footage but don't want to learn NLE software
  • Content teams and course makers who need fast video turnaround
  • Privacy-first users who insist all processing stays on local hardware