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From ai-video-producer
Import a ComfyUI workflow JSON (the API-format export from ComfyUI's "Save (API Format)" option, or the UI-format graph JSON) and turn it into an AI-Video-Producer pipeline SPEC plus stage runners. Maps Comfy nodes to pipeline stages, surfaces the model checkpoints and LoRAs needed, and flags nodes that have no clean equivalent in a hosted-API pipeline. Use when the user has a ComfyUI workflow that works locally and wants to either run it inside a project workspace or document it as a versioned pipeline.
npx claudepluginhub danielrosehill/claude-code-plugins --plugin ai-video-producerHow this skill is triggered — by the user, by Claude, or both
Slash command
/ai-video-producer:comfyui-importThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
- A ComfyUI workflow JSON. Two common shapes:
Creates p5.js generative art with seeded randomness, noise fields, and interactive parameter exploration. Use for algorithmic art, flow fields, or particle systems.
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{node_id: {class_type, inputs, ...}}. Cleaner to parse.{nodes: [...], links: [...]}. Has more layout detail; less direct to map._meta per-node info, ask the user to re-export with "Save (API Format)" — it's substantially easier to map.LoadCheckpoint/CLIPTextEncode sinks toward SaveImage/VHS_VideoCombine sources).CheckpointLoaderSimple, LoraLoader, VAELoader) → "model setup"CLIPTextEncode, ControlNet) → stage inputsKSampler, KSamplerAdvanced) → generation stageSaveImage, VHS_VideoCombine) → output stagepipelines/<name>/SPEC.md matching the format pipeline-scaffolder produces, plus:
pipelines/<name>/comfy/workflow.json — the original, unchanged.pipelines/<name>/comfy/manifest.md — required checkpoints, LoRAs, VAEs, custom nodes (with repo URLs).stages/NN-*.md per identified stage.workflow.json as ground truth; document is derived.ComfyUI-Manager-installable name + GitHub URL) so the workflow can be reproduced.