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lingbot-world

Create interactive video worlds for LingBot using JSON schema or prose prompts.

4|2|Updated Apr 14, 2026
Search Tags:#json schema#interactive video#lingbot#video world authoring#prose prompting
One-click install
npx skills add https://github.com/reactor-team/reactor-skills --skill lingbot-world
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: lingbot-world
Source: https://github.com/reactor-team/reactor-skills/tree/main/skills/lingbot-world
Command: npx skills add https://github.com/reactor-team/reactor-skills --skill lingbot-world

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires lingbot, scene_report.py, token_count.py, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill allows users to author interactive video worlds for LingBot, either through a JSON schema or prose format, enabling the creation of engaging, navigable video experiences.

Core Features & Use Cases

  • JSON Schema Authoring: Build detailed, interactive video worlds using a JSON schema that includes states, events, and transitions.
  • Prose Prompting: Create interactive video worlds using prose prompts that define states, events, and user interactions.
  • Use Case: A user can create a video world where a dragon flies over a castle, with various states and events such as the dragon landing, a storm, or the dragon taking off.

Quick Start

Author a new video world with the lingbot-world skill, using the following command:

author lingbot-world-world.json

Frequently Asked Questions about lingbot-world

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create an interactive video world using a JSON schema?▼

Author interactive video worlds by defining states, events, and transitions within a JSON schema to generate navigable text-to-video experiences with real-time user interaction.

Can I generate interactive video worlds from prose prompts?▼

Yes, you can generate interactive video worlds from prose prompts by writing descriptive text that defines states, events, and user interactions for the video model.

Do I need Python libraries to manage states and transitions for video world authoring?▼

Yes, video world authoring requires Python libraries like LingBot to manage interactive states, events, and transitions during real-time text-to-video generation and user navigation.

What is the difference between JSON schema and prose prompting for interactive video generation?▼

JSON schema authoring structures video worlds with explicit states and transitions, while prose prompting uses descriptive text to define events and user interactions for generation.

How do I handle user navigation and real-time interaction in a generated video world?▼

Handle user navigation and real-time interaction by defining events and transitions in your JSON schema or prose, allowing the world model to process state changes dynamically.

Why does my interactive video world require LingBot for text-to-video generation?▼

Interactive video worlds require LingBot because it is the open-source world model that processes your JSON schema or prose to manage states, events, and real-time video transitions.

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