Sparki is an AI-driven video editing skill that automates the transformation of raw footage into polished social media content and professional montages.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install which-sparki-skill
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 which-sparki-skill 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 Sparki AI Video Editor?
Sparki is a sophisticated video processing engine designed for the Openclaw Skills ecosystem. It allows developers and creators to control complex video editing workflows through simple natural language prompts or predefined styles. Whether you are generating content for TikTok, YouTube Shorts, or professional vlogs, Sparki handles the heavy lifting of cutting, transitions, and effects.
By integrating with OpenClaw, Sparki provides a seamless bridge between local file environments and cloud-based AI editing. It supports two primary interaction modes: a style-guided approach for instant high-quality results based on curated aesthetics, and a prompt-driven mode for granular, custom instructions. This eliminates the need for manual tools like ffmpeg for complex creative tasks.
Sparki AI Video Editor Use Cases
- Creating viral TikToks, Reels, and YouTube Shorts from long-form content.
- Automating daily life vlogs or travel montages with energetic transitions.
- Generating highlight reels for sports or gaming recaps.
- Adding AI-powered captions and translations to talking-head videos.
- Resizing and adapting existing video content for different social media platforms.
How Sparki AI Video Editor Works
- Authentication: The skill verifies a valid Sparki API key via the configuration environment.
- Input Ingestion: Users provide video files via local paths or through the secure Telegram Mini App upload portal.
- Preference Selection: The agent determines if the user wants a style-guided edit (e.g., vlog, montage) or a prompt-driven custom edit.
- Task Dispatch: The skill communicates with the Sparki API to initiate the editing pipeline (Plan -> Queue -> Execute).
- Status Polling: The agent monitors the remote rendering process until completion.
- Asset Delivery: The final edited video is downloaded to the local workspace and delivered to the user via direct file transfer or secure link.
Sparki AI Video Editor Setup
To get started with this skill in the Openclaw Skills environment, ensure you have uv installed and your API key ready.
# Install dependencies
uv sync
# Configure your Sparki API key
sparki setup --api-key YOUR_SPARKI_API_KEY
Sparki AI Video Editor Data Schema & Taxonomy
Sparki manages data within the OpenClaw workspace using a structured hierarchy for assets and outputs.
| Data Type | Location / Format | Description |
|---|---|---|
| Configs | ~/.openclaw/config |
Stores API keys and user preferences. |
| Workspace | ~/.openclaw/workspace/sparki/videos |
Default directory for processed video downloads. |
| Assets | object_key |
Unique identifiers for uploaded raw footage. |
| Tasks | task_id (UUID) |
Tracking ID for asynchronous rendering jobs. |
| Outputs | .mp4 / .mov |
High-fidelity video files ready for distribution. |
Sparki AI Video Editor Advanced Features
- Multi-File Processing: Support for uploading and stitching up to 10 video clips (3GB limit) in a single project.
- Autonomous Pipeline: Use
sparki runfor an end-to-end automated workflow from upload to final download. - Custom Polling Logic: Configurable
--poll-intervaland--timeoutfor handling long-form video renders up to 2 hours. - Platform-Aware Resizing: Intelligent aspect ratio adaptation for 9:16 (Vertical), 1:1 (Square), and 16:9 (Landscape) formats.
- Telegram Integration: Specialized
upload-tgcommand to facilitate mobile-friendly uploads via the Telegram Mini App.
SKILL.md
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