skills.rest
agentspace-so
agentspace-soOFFICIAL
Explore all skills by this author →
GitHub

runcomfy-cli

Execute RunComfy model endpoints via CLI for job submission, polling, and downloads.

31|9|Updated Apr 30, 2026
Search Tags:#automation#cli#image generation#video generation#model inference#job polling#runcomfy
One-click install
npx skills add https://github.com/agentspace-so/runcomfy-agent-skills --skill runcomfy-cli-agentspace-so
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: runcomfy-cli
Source: https://github.com/agentspace-so/runcomfy-agent-skills/tree/main/runcomfy-cli
Command: npx skills add https://github.com/agentspace-so/runcomfy-agent-skills --skill runcomfy-cli-agentspace-so

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

RunComfy users need a reliable way to submit generation requests, monitor progress, and download results without building custom client integrations.

Core Features & Use Cases

  • Submit, poll, and download: Executes the full lifecycle for image and video requests (including edits and other endpoints) in one flow.
  • Authentication and model discovery: Supports login, identity verification, and finding exact model input schemas from the RunComfy catalog.
  • Scriptable automation: Enables deterministic, automation-friendly usage with machine-readable JSON output for piping and batch workflows.
  • Common use case: Generate a text-to-image result, then feed the returned asset URL into downstream steps or copy the final JSON into another process.

Quick Start

Tell the agent to run the specified RunComfy model with a JSON input prompt and download the result to a chosen output folder using the runcomfy command.

Frequently Asked Questions about runcomfy-cli

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

FAQPage Schema
How do I automate RunComfy image generation from the command line?▼

You can automate RunComfy image generation from the command line by using a CLI tool to submit JSON requests, poll job status, and download generated outputs. This enables scriptable, automation-friendly workflows without building custom client integrations.

What RunComfy API endpoints can I trigger for terminal-based model inference?▼

Terminal-based model inference supports text-to-image, image edit, video generation/edit, lip-sync, face swap, inpainting/outpainting, upscaling, and LoRA training. You trigger these RunComfy API endpoints by passing a JSON request body to the CLI.

Do I need to install and authenticate the RunComfy CLI locally before submitting jobs?▼

Yes, you need a local RunComfy CLI installation with prior authentication before submitting jobs. This local setup verifies your identity and allows the terminal to securely execute model endpoints and download generated outputs.

Can I integrate CLI video generation outputs into automated batch workflows?▼

Yes, you can integrate video generation outputs into automated batch workflows because the CLI provides machine-readable JSON output. This allows you to pipe the returned asset URLs directly into downstream steps or other processes.

Does RunComfy terminal execution support polling and no-wait modes for job status?▼

Yes, RunComfy terminal execution supports both polling and no-wait modes for job status. You can choose to monitor progress continuously or submit requests without waiting, depending on your automation requirements.

Related Skills

Explore More Software Engineering Skills→
runcomfy-comruncomfy-com
12

runcomfy-cli

Execute RunComfy model endpoints via CLI with JSON inputs and outputs.

Official
Advanced
browser-actbrowser-act
5.3k

ecommerce-seller-info

Extract seller profile data from marketplace pages into structured JSON.

Official
Advanced
runcomfy-comruncomfy-com
12

gpt-image-edit

Edit images via OpenAI GPT Image 2 endpoint using RunComfy CLI.

Official
Intermediate
agentspace-soagentspace-so
31

kling-3-0

Generate cinematic Kling 3.0 videos on RunComfy from text prompts or reference images.

Official
Intermediate