A specialized Sparki-powered skill for automating the editing of direct-to-camera, presenter-led, and talking-head video content.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install talking-head-editor
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 talking-head-editor 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 Talking-head Editor?
The Talking-head Editor is a scenario-focused tool designed for the Openclaw environment. It leverages the Sparki API to handle complex video processing tasks like clipping, captioning, and tightening footage without requiring manual ffmpeg commands. This skill is specifically optimized for high-engagement formats such as TikToks, Reels, and YouTube Shorts.
By integrating directly with official Sparki workflows, it ensures that developers and creators can manage video assets efficiently through a standardized API. It prioritizes a streamlined upload process, ensuring that video processing is handled by high-performance cloud infrastructure rather than local resources, making it a premier example of professional-grade Openclaw Skills.
Talking-head Editor Use Cases
- Professional editing of direct-to-camera recordings and presenter videos.
- Creating short-form content like TikToks, Reels, and Shorts from long-form footage.
- Automating the generation of captions and highlight reels for vlogs.
- Cleaning up and tightening interview or tutorial footage for a more polished look.
How Talking-head Editor Works
- The agent identifies a video editing intent (e.g., montage, captions, or clipping) and triggers the Talking-head Editor skill.
- The system checks for the presence of local file paths or guides the user to the Telegram Mini App upload flow.
- The skill initiates a connection to the Sparki Agent API using the configured SPARKI_API_KEY.
- Video assets are processed according to the specific talking-head focus, applying presenter-specific optimizations.
- The final edited assets are managed within the designated Openclaw workspace directories.
Talking-head Editor Setup
To install this skill, ensure you have uv installed on a Darwin or Linux system:
# Sync dependencies using uv
uv sync
# Configure your Sparki API Key
export SPARKI_API_KEY="your_api_key_here"
# For Telegram uploads, use the following command to get the upload link
sparki upload-tg
Talking-head Editor Data Schema & Taxonomy
The skill maintains a strict organization for video assets and configurations within the Openclaw environment:
| Path | Purpose |
|---|---|
$HOME/.openclaw/config |
Global skill and API configuration |
$HOME/.openclaw/workspace/sparki/videos |
Output directory for processed video files |
$CWD |
Local read access for source file ingestion |
Metadata is managed via the Sparki Agent API, tracking versioning (currently 1.0.12) and environment permissions.
Talking-head Editor Advanced Features
- Direct integration with the Sparki Telegram Mini App for mobile-to-agent workflows.
- Multi-platform support for Darwin and Linux environments.
- Automated uv-based dependency management for seamless updates.
- High-security permission scoping restricted to specific workspace subdirectories and verified API domains.
SKILL.md
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