ai-video-generation

Route user requests to RunComfy models for t2v, i2v, and extend video workflows.

5|2|Updated May 18, 2026
One-click install
npx skills add https://github.com/doany-ai/skills --skill ai-video-generation-doany-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-video-generation
Source: https://github.com/doany-ai/skills/tree/main/ai-video-generation
Command: npx skills add https://github.com/doany-ai/skills --skill ai-video-generation-doany-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates AI video generation by routing user requests to the correct RunComfy model and CLI invocation, ensuring the right end-to-end path is selected for each prompt.

Core Features & Use Cases

  • Unified routing across text-to-video (t2v), image-to-video (i2v), and extend-video workflows.
  • Ships the exact RunComfy CLI command for the chosen model, with prompts and runtime parameters ready to execute.
  • Guides users through model selection based on intent (e.g., dialog lip-sync, cinematic multi-shot, or 4K hero shots) and supports multiple model endpoints.

Quick Start

Invoke a single command to generate a video from your prompt using the appropriate RunComfy model via the runcomfy CLI.

Frequently Asked Questions about ai-video-generation

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

FAQPage Schema
How do I automate AI video generation using the RunComfy CLI?

Automate AI video generation by routing your text prompts to the correct RunComfy model and CLI invocation. The Skill maps your intent to the appropriate t2v, i2v, or extend workflow and assembles a valid JSON payload for runcomfy run.

What is the difference between t2v, i2v, and extend video workflows?

T2v routes text-to-video requests, i2v handles image-to-video workflows, and extend extends existing video content. The Skill maps your specific intent to the correct route and assembles the appropriate RunComfy CLI command for each workflow type.

How do I select the right RunComfy model for cinematic or lip-sync video generation?

Select the right RunComfy model by guiding your request based on intent, such as dialog lip-sync, cinematic multi-shot, or 4K hero shots. The Skill supports multiple model endpoints and ships the exact CLI command with your prompts and runtime parameters ready.

Can I generate a video from a text prompt using a single command line instruction?

You can generate a video from a text prompt by invoking a single runcomfy run command. The Skill ensures consistent prompts and predictable CLI commands by mapping your request to the appropriate RunComfy model and assembling the valid JSON payload.

Do I need to manually configure JSON payloads for runcomfy run commands?

You do not need to manually configure JSON payloads. The Skill automatically maps your user intent to the appropriate route and assembles a valid JSON payload for the runcomfy run command with correct output handling.

Why does my RunComfy CLI video generation not produce predictable outputs?

Unpredictable CLI video generation outputs often occur without consistent prompt routing. This Skill ensures predictable outputs by mapping user intent to the correct RunComfy model and assembling a valid JSON payload for the exact CLI invocation.