# luoluoluo22/jianying-editor-skill

Skill for Agent automating JianYing (CapCut Chinese version) video editing.

Repository: https://github.com/luoluoluo22/jianying-editor-skill
Canonical: https://ross.abutalabs.com/products/jianying-editor-skill
Homepage: https://jianyingskill.netlify.app/#faq
Language: Python
License: MIT
License Family: permissive
Last push: 2026-06-12T02:00:09+00:00

## Health v2 (maintenance only)
Score: 55/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 87, release rhythm 37, longevity 15
- inputs: {"age_days": 221, "days_push": 83, "days_rel": 209, "gap_med": null, "n_releases_24m": 1}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2878, forks 396 (observed 2026-08-28T04:07:27.481079+00:00)

## What it is
A Python-based AI agent skill that automates video editing in JianYing (the Chinese desktop version of CapCut) by directly generating and injecting draft project files rather than using an official API. It lets AI editors like Claude Code or Cursor build complete video timelines from natural language, including voiceover, subtitles, music, effects, and automated MP4 export.

## Use cases
- automatically edit videos in jianying with ai
- generate video drafts from natural language prompts
- add ai voiceover and synced subtitles to a video
- auto-export edited video to mp4
- create film commentary videos from a source clip
- turn html canvas animations into video assets
- record screen with auto zoom on mouse clicks

## When to choose
- you use Windows with JianYing Pro 5.9 or lower and want fully automated editing pipelines
- you want an AI coding agent to build timelines, subtitles, voiceover, and effects without manual editing
- you need precise programmatic control over draft JSON instead of UI automation
- you want web animations or screen recordings turned into video assets automatically

## When to avoid
- you use CapCut international version, mobile JianYing, or macOS for end-to-end workflows
- you need real-time GPU effects like smart cutout, beauty filters, or speech-to-text captions
- you rely on JianYing 6.0+ where auto-export is unreliable
- you expect this to replace JianYing for rendering and preview - it only builds drafts and triggers export

## Facets
- artifact type: plugin
- maturity: active
- function: video-processing, agent-framework, workflow-automation, speech-recognition, tts
- domain: media, developer-tools
- platform: windows, python, cli
- tags: jianying, capcut, video-editing, ai-skill, draft-manipulation, auto-export, subtitle-generation, ai-voiceover, claude-code, cursor, video, automation, ai-agents, desktop

## Member repositories
- luoluoluo22/jianying-editor-skill (main) score 55

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:27.481079+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:35:40.036350+00:00, confidence not recorded.
  - readme: https://github.com/luoluoluo22/jianying-editor-skill (fetched 2026-08-28T04:07:27.481079+00:00, sha d7f28ea57cec)
  - homepage: https://jianyingskill.netlify.app/#faq (fetched 2026-08-29T09:51:06.490788+00:00, sha 4265b08c27b7)
- Data as of 2026-08-30T08:39:29.467469+00:00.