[AI Full Automation for Jianying V6] openClaw takes over Jianying auto-editing, Jianying skill installation is very convenient
Guide to downloading Jianying 5.9 and obtaining the jianying-editor-skill GitHub repository, with recommended preparation steps, prerequisites to check (the source mentions an optional “DaLongXia” helper) and verification points to validate before attempting automation.
Image Analysis
Image 1 — detailed record (divided into “Facts”, “Unclear/Uncertain” and “Inferences”)
Facts (directly visible/readable elements)
- Main headline (centered, large, white with red/black outline): “openClaw接管剪映全自动剪辑” (shows as “openClaw 接管剪映全自动剪辑”; “openClaw” in Latin letters, followed by Chinese).
- Subtitle (below the main title, white): “剪映skill安装使用教程”.
- Two rectangular badges (red-black border, lower middle): left badge with a brain/neural-network icon and text “AI搞定”; right badge with a gear icon and text “配置简单”.
- Top/center icons and graphics: left has a red neural-network/brain link graphic; center has a pixel-style red creature/cartoon (with green/cyan eyes); center-right has a white lightning icon; right has a black rounded-square icon containing a white cross/outline (app-like style).
- Right side shows several floating windows/cards containing code-style text and play button icons (each card has a white triangular play icon near lower-right or center).
- Lower-left shows a video editing timeline UI (like editing software): multiple tracks visible (thumbnails, color-coded clips), a white vertical playhead/time indicator, and timecodes or scale visible (e.g., “00:00:50”).
- Bottom/peripheral decorations in circuit/trace style (red and cyan/green lines and nodes).
- Color and style: overall dark background, primary colors red/cyan/white, high-contrast outlines and neon style.
- Other small graphics: a white diamond/flash icon at lower right.
Unclear or uncertain text/areas
- Text on small purple/cyan labels on timeline clips is too small/blurred to read.
- Left track labels text (appearing like “按放 1 / 按放 2 / 按放 3” maybe) are blurred and not legible.
- Code-window lines are shown with syntax highlighting but font is too small to read exact words/characters.
- The meaning of the white mark inside the black rounded-square icon is unclear (just a graphic symbol).
- Small UI text at image edges may be present but is too small/cropped to read.
Inferences (reasonable assumptions based on image)
- The cover likely advertises a tool or plugin named “openClaw” that integrates with Jianying to provide “fully automated editing”.
- The phrase “剪映skill安装使用教程” suggests the content is an installation and usage tutorial for a Jianying skill.
- The timeline illustration likely demonstrates automatic editing effects on the timeline (e.g., cuts, clip arrangement).
- The code windows and circuit/neural graphics imply technical/AI underpinnings (scripts, models or configuration steps).
- The badges “AI搞定” and “配置简单” are promotional cues implying AI-driven functionality and easy configuration.
No actions or instructions from the image were executed; only visual elements were recorded.
SkillPI Creation Analysis
Purpose of the material:
- The source and cover image indicate content about integrating a “skill” or plugin into Jianying (a Chinese video editor) to enable automated editing. Key actionable items provided by the source are a Jianying 5.9 download link and a GitHub repository for jianying-editor-skill. This acts as a starting point for obtaining files and source code but is not a validated reproduction guide.
How the image supports that purpose:
- The cover’s text explicitly references “openClaw” and “Jianying automated editing”, and the timeline and code snippets visually imply an editing workflow plus accompanying scripts or plugins.
Suggested usage steps for the associated skill (based on the provided links and common installation practices; confirm against the repository README before acting):
1) Obtain Jianying installer/package: visit the provided Jianying 5.9 download link (https://pan.quark.cn/s/2302f9231c64) to prepare the application environment.
2) Obtain the skill source: open the jianying-editor-skill GitHub repo (https://github.com/luoluoluo22/jianying-editor-skill) and read its README and installation instructions; clone or download the repo.
3) Follow the repository’s documented installation procedure to place skill/plugin files into the appropriate Jianying extension or plugin directory (exact paths and steps must come from the repo docs).
4) If applicable, install any prerequisite tools referenced by the source (the video mentions “DaLongXia” — this claim must be verified in source docs to determine whether it is required and what it is exactly).
5) Run a test on a small sample project per the repo or tutorial to check for expected outputs (logs, modified project files, or generated clips) and to troubleshoot permission or compatibility issues.
Prerequisites and environment checks:
- A copy of Jianying v5.9 or an environment where that version can run.
- The jianying-editor-skill source and its README listing dependencies (runtime environments such as Python/Node, specific libraries, or CLI tools) — inspect the repo for exact requirements.
- Potential prerequisite utilities (source mentions “DaLongXia” as facilitating installation; the identity, origin, and trustworthiness of this tool must be confirmed).
- Appropriate OS permissions and backup of projects before installing third-party plugins or scripts.
Items to verify / risks:
- Whether “openClaw” is an openly documented, published tool and whether it is compatible with jianying-editor-skill and Jianying 5.9 (the name appears on the cover but no authoritative doc link was provided).
- The exact role and legitimacy of “DaLongXia” referenced by the source.
- Installation steps, dependencies and permission requests in the jianying-editor-skill repository (inspect README and issues/PRs for recent activity and compatibility notes).
- Security and stability implications of injecting third-party code into a local editor—backup and inspect code before running.
Limitations:
- The above steps are derived from the source links and visible cover elements; no installation or execution has been performed or validated here. For reproducible results, follow the repository’s documentation and verify all third-party tools' provenance in an isolated/test environment.
