A strategic AI operating layer that manages high-level content decisions, platform packaging, and execution hand-offs for creators.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install video-content-operator
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 video-content-operator 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 Video Content Operator?
The Video Content Operator is a specialized skill designed to sit above the execution layer of video editing. It functions as a strategic partner for creators, helping them decide what content to produce, which platforms to prioritize, and how to package ideas for maximum impact. By utilizing Openclaw Skills, this agent analyzes raw materials and creator context to ensure every video aligns with specific business goals like growth, trust, or conversion.
Rather than focusing on the technicalities of rendering or adding captions, this skill addresses the 'operating' decisions that drive channel success. It bridges the gap between raw ideas and the editing booth by generating structured draft packages and clear execution briefs, ensuring that the creative intent is preserved through the entire production lifecycle.
Video Content Operator Use Cases
- Determining which raw footage or brainstormed ideas are worth the investment of full production.
- Planning a weekly content schedule based on a creator's current bottlenecks and audience goals.
- Optimizing a single content concept for multiple platforms including Xiaohongshu, YouTube, and TikTok/Shorts.
- Transitioning from strategic planning to technical execution by generating precise briefs for video editors.
How Video Content Operator Works
- The skill extracts creator context from local files like MEMORY.md and USER.md to understand the current mission and tone.
- It evaluates candidate source materials against the creator's defined goals (trust, growth, or conversion).
- A strategic recommendation is made, identifying the best content direction and explaining the rationale behind it.
- The agent generates 1-3 draft packages containing specific angles, hooks, and platform-specific structures.
- Upon user approval, the skill builds an execution brief to hand off the task to a video editing tool.
Video Content Operator Setup
To get started with this component of your Openclaw Skills library, follow these setup steps:
# Extract creator state from your local workspace
python3 scripts/extract_creator_context.py --workspace /path/to/your/workspace
# Process materials into a strategic operating recommendation
python3 scripts/content_operator.py --input /path/to/input.json
# Generate a brief for hand-off to editing tools
python3 scripts/build_execution_brief.py --input /path/to/operator-output.json
Video Content Operator Data Schema & Taxonomy
The skill manages data through structured JSON schemas and Markdown documentation:
| Data Component | Format | Purpose |
|---|---|---|
| Creator Context | JSON | Stores mission, platform priorities, and recurring themes |
| Operating Package | Markdown/JSON | Contains the angle, hook, and structure for a proposed video |
| Execution Brief | JSON/Text | Standardized instructions for hand-off to tools like sparki-video-editor |
| Memory Files | .md | Persistent storage of user state used to inform long-term strategy |
Video Content Operator Advanced Features
- Context-Aware Recommendations: Proactively uses local memory to avoid asking redundant questions about creator identity or goals.
- Multi-Platform Optimization: Tailors content structures specifically for the unique algorithmic requirements of Xiaohongshu, Shorts, and YouTube.
- Seamless Hand-off: Converts strategic decisions into technical briefs that execution-focused Openclaw Skills can process immediately.
- Bottleneck Analysis: Identifies whether a creator should focus on documentation, insight, or demonstration based on current channel needs.
SKILL.md
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