RunComfy on Top AI Skills

Kling 3.0 vs Video Edit: When to Generate and When to Edit

Tue, 23 Jun 2026 00:00:00 +0000

The Honest Verdict Up Front

Install Kling 3.0 if you need to create video from scratch. Install Video Edit if you need to modify footage you already have. Install both if your pipeline includes generation and editing — they live in the same RunComfy ecosystem and share authentication.

These two skills are not direct competitors. Kling 3.0 generates video — you give it text or an image and it produces a clip in one of three quality tiers (Standard, Pro, 4K). Video Edit transforms existing video — you feed it a source clip and a description of the edit, and it routes your request to the right AI model (Wan 2.7 for background swaps, Kling Motion Control for motion transfer, Lucy Restyle for character restyling).

AI Video Editing With RunComfy: Testing the Video Edit Skill

Mon, 22 Jun 2026 00:00:00 +0000

Why I Went Down This Rabbit Hole

The project was simple on paper: take a dozen product demo clips — each five to eight seconds of someone holding a package, talking to camera, or showing it from different angles — and give them a consistent look. A unified background, matching color grade, clean audio. A video editor quoted two days and twelve hundred dollars. I figured AI could do it in an afternoon.

Kling 3.0

Sat, 20 Jun 2026 00:00:00 +0000

What It Is

Kling 3.0 is a RunComfy skill that wraps Kuaishou’s third-generation video model into six endpoints — Standard, Pro, and 4K tiers, each available as text-to-video or image-to-video. Instead of navigating Kling’s API docs and constructing JSON bodies for each rendering tier, you describe what you want and the skill routes your request to the right endpoint with appropriate parameters.

The skill lives in the agentspace-so/runcomfy-agent-skills monorepo alongside siblings like kling-2-6 and lucy-edit. You install it with a single npx skills add command and call it through the RunComfy CLI. It complements the other video skills in the same ecosystem, such as Video Edit.

GPT Image 2

Wed, 17 Jun 2026 00:00:00 +0000

What It Is

A terminal skill that wraps OpenAI’s GPT Image 2 (ChatGPT Images 2.0) through the RunComfy Model API — generate and edit images without leaving your CLI. One npx skills add command registers the skill, then you call runcomfy run openai/gpt-image-2/text-to-image with a JSON prompt and get back a file. No OpenAI API key, no ChatGPT subscription, no browser tab. It lives in the agentspace-so/runcomfy-skills repo alongside sibling skills like Video Edit and image-to-video.

Video Edit

Tue, 16 Jun 2026 00:00:00 +0000

What It Is

Video Edit is an intent-routing skill for the RunComfy ecosystem that maps a natural-language video editing request to one of three video models — Wan 2.7 Edit-Video, Kling 2.6 Pro Motion Control, or Lucy Edit Restyle. Instead of picking a model, researching its prompting quirks, and manually constructing a JSON body, you describe the edit you want and the skill handles model selection and parameter formatting.

The skill lives inside the agentspace-so/runcomfy-skills monorepo alongside its siblings (gpt-image-2, image-edit, wan-2-7). You install it with a single npx skills add command that registers a video-edit agent skill, then call it through the RunComfy CLI.

I Generated Marketing Assets With GPT Image 2 Inside Claude Code

Sat, 13 Jun 2026 00:00:00 +0000

Why I Went Down This Rabbit Hole

Last Tuesday I was switching between four tabs: Claude Code, Canva, ChatGPT, and a product photo reference board. I was mocking up a landing page for a client — a premium water bottle brand — and every image revision meant exporting from ChatGPT, dragging into the right folder, then asking Claude to reference it. The context-switch tax felt absurd. Here I was using an AI coding assistant, and image generation still lived outside the chat window.