What problem does it solve? Running ComfyUI generation jobs from OpenMontage requires correct server configuration, API-format workflow exports, output node selection, and model placement, and mistakes in any of these cause failed or unreproducible generations. ## Core Features & Use Cases - Workflow Selection and Execution: Choose between bundled workflows and custom workflow_json/workflow_path inputs for comfyui_image, comfyui_video, and comfyui_music, including low-VRAM options like Wan 2.1 1.3B, LTXV FP8, and GGUF quantized workflows. - Output Node and Model Management: Identify the correct terminal saver node (SaveImage, SaveVideo, VHS_VideoCombine, SaveAudioMP3), place models in the proper ComfyUI directories, and handle missing models through the structured missing_models payload. - Failure Recovery and Provenance: Resume timed-out jobs with resume_prompt_id, record workflow hashes and model stacks for reproducibility, and configure per-capability server URLs. - Use Case: A user on a 12GB GPU wants to generate a short video from a community Wan 2.2 GGUF workflow; this Skill guides exporting it in API format, selecting the output_node, placing the required models, and submitting the job. ## Quick Start Use the comfyui skill to generate an image with the bundled workflow on my local ComfyUI server at localhost:8188.