An AI-powered video editing specialist designed to transform raw footage into polished vlogs, highlights, and social media content without manual ffmpeg complexity.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-vlog-editor-zh
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install ai-vlog-editor-zh using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is AI Vlog Editor (ZH)?
AI Vlog Editor is a specialized variant of the Sparki skill tailored specifically for the lifestyle and travel content creator ecosystem. It serves as a high-level orchestration layer within the Openclaw Skills framework, allowing users to automate tedious video processing tasks such as clipping, montage creation, and highlight generation using natural language commands.
This skill is designed to handle the creative nuances of modern content platforms like YouTube, TikTok, and Instagram Reels. By leveraging sophisticated AI-driven editing logic, it bypasses the need for manual video tools, providing a seamless workflow for creators who want to maintain a high-quality aesthetic with minimal technical overhead.
AI Vlog Editor (ZH) Use Cases
- Creating relaxed daily vlogs from raw lifestyle footage.
- Compiling travel clips into cinematic storytelling segments.
- Generating creator-style highlights for YouTube and social media.
- Automating the conversion of long-form videos into shorts and reels.
- Applying AI-driven montage logic to creative video projects.
How AI Vlog Editor (ZH) Works
- Footage Ingestion: Users provide video assets either through a local file path in the environment or via the Telegram Mini App upload interface.
- Context Analysis: The skill interprets the user's creative intent (e.g., "make it more YouTube style") to determine the editing pace and style.
- Cloud Processing: High-fidelity video processing is offloaded to the Sparki API to handle compute-intensive editing tasks.
- Artifact Generation: The AI produces the final edited video file, storing it in the designated workspace directory.
- Delivery: The edited vlog is returned to the user, ready for review or direct publication.
AI Vlog Editor (ZH) Setup
To install the AI Vlog Editor as part of your Openclaw Skills library, follow these steps:
- Ensure you have
uvinstalled on your system. - Set your environment variable for the Sparki API:
export SPARKI_API_KEY='your_api_key_here'
- Sync the skill dependencies:
uv sync
- For Telegram users, use the upload command to sync media:
sparki upload-tg
AI Vlog Editor (ZH) Data Schema & Taxonomy
The skill manages video assets and configurations within a structured directory hierarchy to ensure data integrity across the Openclaw Skills ecosystem.
| Path | Description |
|---|---|
$HOME/.openclaw/config |
Global configuration and API credentials |
$HOME/.openclaw/workspace/sparki/videos |
Storage for processed vlogs and edited output |
$CWD |
Read access for local source footage |
AI Vlog Editor (ZH) Advanced Features
- Direct integration with the Sparki high-performance video engine.
- Multi-platform support optimized for Darwin (macOS) and Linux environments.
- Automated workspace management for organized video production pipelines.
- Specialized Telegram Mini App bridge for mobile-to-agent video uploading.
- Native support for creative-style prompts specifically tuned for Openclaw Skills users.
SKILL.md
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