What problem does it solve? Setting up ComfyUI and executing its workflows programmatically is error-prone: hardware requirements vary, workflows must be in API format, dependencies (custom nodes, models, embeddings) are often missing, and the official CLI lacks execution support. This Skill automates the full lifecycle from hardware detection and installation to parameterized workflow execution and output retrieval. ## Core Features & Use Cases - Automated Setup & Health Checks: Detect GPU/VRAM, choose local vs Comfy Cloud, install via comfy-cli, and verify with a one-line health check. - Workflow Execution with Parameter Injection: Inspect any API-format workflow for controllable parameters, inject prompts/seeds/dimensions, submit jobs, monitor progress over WebSocket, and download outputs safely. - Dependency Management: Check workflows against a running server for missing custom nodes, models, and embeddings, then auto-install them with comfy-cli. - Use Case: A user asks to generate 8 variations of an SDXL image with random seeds; the Skill validates the workflow, confirms the checkpoint is installed, runs a parallel batch, and returns the output file paths as JSON. ## Quick Start Ask the agent to generate an image with a prompt using the SDXL example workflow, and it will check the server, inject your prompt, run the job, and return the output files.
