
Comfyui Workflow Builder
Turns natural language into executable ComfyUI workflow JSON with proper node connections, output indices, and model settings. It checks your inventory first to confirm you have the right checkpoints, LoRAs, and custom nodes before generating anything. Handles the usual suspects: txt2img, img2img, identity preservation with InstantID or PuLID, video generation via Wan or AnimateDiff, upscaling, and face detailing. The VRAM estimation table is genuinely useful if you're trying to avoid out-of-memory crashes. Won't help you install ComfyUI or write custom nodes, but if you already have a working setup and just want to skip the tedious JSON wiring, this does the job.
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- 9
- skills.sh installs
- 2.2K
- GitHub stars
- 94
- last updated
- Jul 14, 2026
Install
$ npx -y skills add mckruz/comfyui-expert --skill comfyui-workflow-builder --agent claude-codeInstalls into .claude/skills of the current project.
Files
ComfyUI Workflow Builder
Translates natural language requests into executable ComfyUI workflow JSON. Always validates against inventory before generating.
Workflow Generation Process
Step 1: Understand the Request
Parse the user's intent into:
- Output type: Image, video, or audio
- Source material: Text-only, reference image(s), existing video
- Identity method: None, zero-shot (InstantID/PuLID), LoRA, Kontext
- Quality level: Draft (fast iteration) vs production (maximum quality)
- Special requirements: ControlNet, inpainting, upscaling, lip-sync
Step 2: Check Inventory
Read state/inventory.json to determine:
- Available checkpoints → select best match for task
- Available identity models → determine which methods are possible
- Available ControlNet models → enable pose/depth control if available
- Custom nodes installed → verify all required nodes exist
- VRAM available → optimize settings accordingly
Step 3: Select Pipeline Pattern
Based on request + inventory, choose from:
Sponsors
Details
- Repository
- github.com/mckruz/comfyui-expert
- Categories
- Automation & Workflows, Generative Media
- First seen
- May 16, 2026