A comprehensive operational framework and SOP generator designed to streamline the execution of livestream commerce activities.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install livestream-commerce
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install livestream-commerce using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Livestream Commerce skill is a specialized module within Openclaw Skills designed to provide developers and marketers with a structured approach to live selling. It bridges the gap between raw marketing ideas and technical execution by offering actionable Standard Operating Procedures (SOPs), KPI tracking frameworks, and resource management tools specifically tailored for the fast-paced livestreaming environment.
By leveraging this skill, teams can ensure consistent quality across broadcasts, maintain strict regulatory compliance, and implement data-driven optimizations. It serves as a technical blueprint for scaling live commerce operations, from initial resource scoping to post-stream data analysis and knowledge base updates.
To integrate this skill into your Openclaw environment, use the following commands:
# Install the livestream-commerce skill
openclaw install livestream-commerce
# Configure local data paths for SOP storage
openclaw configure livestream-commerce --output-dir ./docs/livestream-ops
The skill organizes data into a structured hierarchy to ensure transparency and reusability:
| Data Component | Description | Format |
|---|---|---|
| Core Indicators | Primary and defensive KPIs (e.g., GMV, retention) | JSON/CSV |
| SOP Templates | Step-by-step execution guides and scripts | Markdown |
| Resource Checklist | Hardware, software, and personnel requirements | YAML |
| Compliance Log | Records of regulatory checks and data privacy measures | Markdown |
| Review Notes | Post-event analysis and optimization suggestions | Markdown |
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