LiveScript Protocol for Openclaw

A professional framework for generating structured, psychologically-driven live streaming scripts optimized for AI agents.

chuan916
v1.0.0
Apr 7, 2026
0
762
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install live-script-protocol

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install live-script-protocol 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 LiveScript Protocol?

LiveScript Protocol is an Agent Native framework designed to standardize the generation of high-conversion live streaming scripts. Version 1.10.0 of this protocol provides a structured methodology to transform product data into engaging content loops that leverage psychological triggers such as social proof, authority, and scarcity. It is an essential addition to any developer's collection of Openclaw Skills focused on e-commerce and digital marketing.

The system operates on a Human-Product-Venue architecture, ensuring that every script generated follows a rigorous 3-5 minute cycle designed to maximize user retention and sales. By utilizing this protocol, developers can ensure their AI agents produce content that is not only persuasive but also compliant with platform regulations by avoiding prohibited marketing jargon.

LiveScript Protocol Use Cases

  • Automating product sales scripts for e-commerce live streams.
  • Creating structured narrative loops for travel and tourism broadcasts.
  • Standardizing multi-agent live streaming operations with consistent metadata.
  • Enhancing emotional engagement through structured psychological anchoring.
  • Generating platform-compliant marketing content at scale.

How LiveScript Protocol Works

  1. The user provides product metadata including type, target audience, core USPs, and price anchors.
  2. The protocol initiates a 4-stage script generation loop (Opening, Product Shaping, Closing, and Engagement).
  3. Psychological triggers are applied across the timeline, such as the FAB (Feature-Advantage-Benefit) model for product shaping.
  4. A metadata layer is generated in JSON format to guide the AI agent's tone, emotional arc, and persuasion techniques.
  5. The final output is delivered as a structured script combined with machine-readable metadata for further automation.

LiveScript Protocol Setup

To implement this as part of your Openclaw Skills, incorporate the protocol's metadata schema into your agent's system prompt. No external installation is required beyond a compatible AI agent environment.

# Example of how to prompt your agent with the protocol
# Provide the SKILL.md context to your Openclaw-compatible agent
openclaw-agent load-skill livescript-protocol.md

LiveScript Protocol Data Schema & Taxonomy

Component Description
protocol_version Specifies the framework version (v1.10.0)
stage_mapping Maps content to Opening, Shaping, Closing, or Engagement stages
emotion_arc Defines target emotions like curiosity, excitement, or urgency
persuasion_techniques List of applied psychological hooks (e.g., loss aversion, anchoring)
conversion_funnel Metadata for awareness hooks, urgency triggers, and social proof moments
prohibited_words A filter list to ensure platform compliance (e.g., avoiding absolute terms)

LiveScript Protocol Advanced Features

  • Multi-stage emotional arc mapping (Curiosity -> Excitement -> Urgency -> Satisfaction).
  • Intelligent conversion funnel integration with specific urgency triggers.
  • Cold start mode optimized for streams with low initial viewership (0-50 viewers).
  • Automated retention hooks to manage silence or low-engagement periods.
  • Built-in compliance engine to scan for and remove prohibited marketing superlatives.

SKILL.md


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METADATA

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