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Found 41 Skills
ComfyUI custom node fundamentals - V3 node structure, Schema, inputs/outputs, registration. Use when creating new ComfyUI custom nodes, defining node classes, or setting up a custom node project.
ComfyUI custom node project structure - directory layout, __init__.py, registration, requirements.txt, publishing, WEB_DIRECTORY. Use when setting up a new custom node project, packaging nodes, or publishing to the registry.
Repair imported ComfyUI workflows with missing or broken model metadata for ComfyUI-RunpodDirect. Accept a workflow JSON or original ComfyUI output PNG, extract and inventory it, and resolve exact model artifacts. Use when a user reports a broken workflow, missing models, or failed model discovery; use companion-clis for generic Hugging Face transfers and runpod-mcp or runpodctl for Pod lifecycle.
Connect to a running ComfyUI instance, queue workflows, monitor execution, and retrieve results. Supports both online (REST API) and offline (JSON export) modes. Use when executing ComfyUI workflows or checking server status.
Develop ComfyUI server-side V3 custom nodes (Python) using Comfy API v0_0_2/latest, schema-based inputs/outputs, ComfyExtension entrypoints, and UI preview helpers. Use when asked to create or update ComfyUI custom_nodes, V3 nodes, or Comfy API-based nodepacks.
Discover and cache all installed ComfyUI models, custom nodes, and system capabilities. Works online (API queries) and offline (directory scanning). Use before generating workflows to verify available resources.
Command-line interface for ComfyUI - AI image generation workflow management via ComfyUI REST API. Designed for AI agents and power users who need to queue workflows, manage models, download generated images, and monitor the generation queue without a GUI.
Generate ComfyUI workflow JSON from natural language descriptions. Validates against installed models/nodes before output. Use when building custom ComfyUI workflows from scratch or modifying existing ones.
Build identity-preserving character generation workflows and pipelines in ComfyUI. Selects the optimal identity method (InfiniteYou, FLUX Kontext, PuLID, InstantID, IP-Adapter) based on use case requirements. Handles face preservation, likeness transfer, cross-domain conversion (3D to photo), multi-reference consistency, iterative character editing, and character variation generation. Triggers on requests to generate consistent characters, preserve identity across images, create face-swapping workflows, or convert 3D renders to photorealistic portraits. Does NOT cover general image generation without identity preservation, model training/LoRA fine-tuning, animation, technical explanations, or workflow debugging.
Generate videos using ComfyUI with Wan 2.2, FramePack, or AnimateDiff. Handles image-to-video, text-to-video, talking heads, and motion-controlled animation. Use when creating any video content from character images or text descriptions.
Plan and orchestrate end-to-end video production pipelines in ComfyUI with validation gates and error recovery. Handles img2vid, txt2vid, vid2vid, and multi-shot video production. Produces pipeline plans with correct step ordering (generate, validate, animate, validate, concat), model selection, retry strategies (seed randomization, parameter adjustment, model fallback), and VRAM-aware resource management. Use when asked to make a video, animate images, create a multi-shot video, set up a video pipeline, or orchestrate video production in ComfyUI. Does NOT cover still image generation, prompt writing, workflow building for non-video tasks, video editing in external tools, model training, installation, or hardware recommendations.
Conducts a guided conversational interview with the user about the image or scene they want to create, asking pertinent questions to fully understand their vision, then synthesizes a perfect model-appropriate prompt with recommended settings. Use when the user says "I want to create...", "help me make an image of...", "I have an idea for...", or asks for help crafting a prompt.