This skill provides a high-level Python API, JyWrapper, designed for AI agents to automate video editing workflows. It enables the structured manipulation of media assets and the programmatic creation of project drafts.
Automation builders can use this interface to handle screen recording, material imports, and subtitle generation. The tool supports the draft_info.json structure for version 5.9+, allowing for automated audio-synced subtitles and project exports across Windows and MacOS.
Follow the documented setup, then try a first task.
Installs: Complete jianying-editor skill repository and its Python libraries
Platform: Windows. Draft generation is supported; unattended export is most reliable with Jianying 5.9 or lower.
Open PowerShell and run the documented one-click installer. It downloads the code, creates the directory structure, and handles the Python libraries.
irm is.gd/rpb65M | iex
Installs: Complete jianying-editor skill repository · Antigravity, Gemini Code Assist
Platform: Windows or macOS. macOS supports draft generation but requires manual export; unattended export is Windows-only and most reliable with Jianying 5.9 or lower.
Run from: Root of the user's project/workspace
From the root of the user project/workspace, clone the skill into Antigravity or Gemini Code Assist's documented skill directory.
git clone https://github.com/luoluoluo22/jianying-editor-skill.git .agent/skills/jianying-editor
Installs: Complete jianying-editor skill repository · Trae IDE
Platform: Windows or macOS. macOS supports draft generation but requires manual export; unattended export is Windows-only and most reliable with Jianying 5.9 or lower.
Run from: Root of the user's project/workspace
From the root of the user project/workspace, clone the skill into Trae IDE's documented skill directory.
git clone https://github.com/luoluoluo22/jianying-editor-skill.git .trae/skills/jianying-editor
Installs: Complete jianying-editor skill repository · Claude Code
Platform: Windows or macOS. macOS supports draft generation but requires manual export; unattended export is Windows-only and most reliable with Jianying 5.9 or lower.
Run from: Root of the user's project/workspace
From the root of the user project/workspace, clone the skill into Claude Code's documented skill directory.
git clone https://github.com/luoluoluo22/jianying-editor-skill.git .claude/skills/jianying-editor
Installs: Complete jianying-editor skill repository · Cursor, VSCode
Platform: Windows or macOS. macOS supports draft generation but requires manual export; unattended export is Windows-only and most reliable with Jianying 5.9 or lower.
Run from: Root of the user's project/workspace
From the root of the user project/workspace, run the documented generic root include-list installation command.
# 通用方式：安装到根目录 include 列表 git clone https://github.com/luoluoluo22/jianying-editor-skill.git skills/jianying-editor
Uses jianying-editor
Use the jianying-editor skill's draft inspector to list up to 20 of my Jianying drafts. Replace <SKILL_ROOT> with the installed jianying-editor skill directory, and only report the discovered draft list; do not modify or export any drafts.
Uses jianying-editor
Use the jianying-editor skill to create and save a small Jianying draft from my local video clips, applying only the requested basic cuts and track arrangement. Keep the editing script in my workspace rather than inside the skill repository. Do not export the finished video.
Uses jianying-editor
Use the jianying-editor skill and its README-to-Tutorial template to turn the supplied README content into a concise four-phase installation-tutorial storyboard. Extract installation commands exactly from the README, include suggested visuals and narration for each phase, and stop after the storyboard without recording or exporting a video.
Claude
Cursor
Gemini CLI
Antigravity
Grok