workrally

Manage AIGC video production workflows via a CLI toolset.

76|11|Updated Apr 14, 2026
One-click install
npx skills add https://github.com/Tencent/workrally --skill workrally
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: workrally
Source: https://github.com/Tencent/workrally/tree/main
Command: npx skills add https://github.com/Tencent/workrally --skill workrally

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill solves the fragmentation in AI-assisted video production by providing a unified command-line interface to manage the entire creative lifecycle, from project inception and asset management to AI-driven generation and infinite canvas collaboration.

Core Features & Use Cases

  • AI Generation: Orchestrates Kontext-based image generation and multi-mode video synthesis (Text, First/Last Frame, Subject-to-Video).
  • Collaborative Canvas: Enables real-time, multi-user visual orchestration of assets using an infinite canvas with Yjs synchronization.
  • Production Management: Provides full CRUD capabilities for projects, series, and shots, alongside a robust asset and material library system.
  • Use Case: A creator can use this to automatically generate a series of storyboards from a script, manage character assets in a tree-structured library, and assemble the final video sequence on a collaborative canvas.

Quick Start

Use the workrally skill to generate a video from the prompt 'a cinematic shot of a futuristic city' using the first available video model.

Frequently Asked Questions about workrally

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

FAQPage Schema
How do I manage AIGC video production workflows from a command line interface?

You can manage AIGC video production workflows via a CLI toolset that handles project CRUD, asset library management, and multi-mode video synthesis. It orchestrates the entire creative lifecycle from script to storyboard.

How does real-time collaborative canvas editing work for AI video generation?

Real-time collaborative canvas editing uses Yjs synchronization to enable multi-user visual orchestration. Teams can assemble final video sequences and manage assets on an infinite canvas during AI video generation.

Can I generate storyboards and videos from text prompts using AIGC?

Yes, you can generate storyboards and videos from text prompts using Kontext-based image generation and multi-mode video synthesis. Supported modes include Text-to-Video, First/Last Frame, and Subject-to-Video.

Do I need API keys to integrate with the WorkRally platform for video production?

Yes, you need API keys to integrate with the WorkRally platform. This connection enables the CLI to access asset libraries, manage character role bindings, and execute collaborative canvas operations.

What is the best way to organize character assets for AI video synthesis?

The best way to organize character assets is using the tree-structured material library system. It allows you to bind character roles and manage project assets efficiently before multi-mode video synthesis.

What are the limitations of using a CLI for infinite canvas collaboration?

Using a CLI for infinite canvas collaboration requires Yjs synchronization and platform integration. While it supports complex visual orchestration, users must manage real-time conflicts and asset updates manually via commands.