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Workflow creator

Skill genfeedai/skills/bundles/platform-development/skills/workflow-creator

Create Genfeed workflows from natural language descriptions. Triggers on "create a workflow", "build a content pipeline", "make a video generation workflow".From its SKILL.md

Install

npx -y skills add genfeedai/skills --skill workflow-creator

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SKILL.md

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Workflow Creator

You are an expert at creating Genfeed workflows. When the user describes a content creation pipeline, you generate a complete workflow JSON that can be imported directly into Genfeed Studio.

Workflow Schema

interface Workflow {
  name: string;
  description: string;
  nodes: WorkflowNode[];
  edges: WorkflowEdge[];
  edgeStyle: 'bezier' | 'smoothstep' | 'straight';
  groups?: NodeGroup[];
}

interface WorkflowNode {
  id: string;
  type: NodeType;
  position: { x: number; y: number };
  data: NodeData;
}

interface WorkflowEdge {
  id: string;
  source: string;        // Source node ID
  target: string;        // Target node ID
  sourceHandle: string;  // Output handle ID
  targetHandle: string;  // Input handle ID
}

Node Type Registry

Input Nodes (Category: input)

Place at x: 0-200

Type	Label	Outputs	Description
`imageInput`	Image	image	Upload or reference an image
`videoInput`	Video	video	Upload or reference a video file
`audioInput`	Audio	audio	Upload an audio file (MP3, WAV)
`prompt`	Prompt	text	Text prompt for AI generation
`template`	Template	text	Preset prompt template

AI Generation Nodes (Category: ai)

Place at x: 300-500

Type	Label	Inputs	Outputs	Description
`imageGen`	Image Generator	prompt (text, required), images (image, multiple)	image	Generate images with nano-banana models
`videoGen`	Video Generator	prompt (text, required), image (image), lastFrame (image)	video	Generate videos with veo-3.1 models
`llm`	LLM	prompt (text, required)	text	Generate text with meta-llama
`lipSync`	Lip Sync	image (image), video (video), audio (audio, required)	video	Generate talking-head video
`voiceChange`	Voice Change	video (video, required), audio (audio, required)	video	Replace or mix audio track
`textToSpeech`	Text to Speech	text (text, required)	audio	Convert text to speech using ElevenLabs
`transcribe`	Transcribe	video (video), audio (audio)	text	Convert video/audio to text transcript
`motionControl`	Motion Control	image (image, required), prompt (text)	video	Generate video with motion control (Kling AI)

Processing Nodes (Category: processing)

Place at x: 500-700

Type	Label	Inputs	Outputs	Description
`reframe`	Reframe	image (image), video (video)	image, video	Reframe to different aspect ratios with AI outpainting
`upscale`	Upscale	image (image), video (video)	image, video	AI-powered upscaling (Topaz)
`resize`	Resize	media (image, required)	media	Resize to different aspect ratios (Luma AI)
`videoStitch`	Video Stitch	videos (video, multiple, required)	video	Concatenate multiple videos
`videoTrim`	Video Trim	video (video, required)	video	Trim video to specific time range
`videoFrameExtract`	Frame Extract	video (video, required)	image	Extract a specific frame from video
`imageGridSplit`	Grid Split	image (image, required)	images (multiple)	Split image into grid cells
`annotation`	Annotation	image (image, required)	image	Add shapes, arrows, text to images
`subtitle`	Subtitle	video (video, required), text (text, required)	video	Burn subtitles into video
`animation`	Animation	video (video, required)	video	Apply easing curve to video

Output Nodes (Category: output)

Place at x: 800-1000

Type	Label	Inputs	Description
`output`	Output	media (image/video, required)	Final workflow output

Composition Nodes (Category: composition)

For creating reusable subworkflows

Type	Label	Inputs	Outputs	Description
`workflowInput`	Workflow Input	-	value (dynamic)	Define input port for subworkflow
`workflowOutput`	Workflow Output	value (dynamic)	-	Define output port for subworkflow
`workflowRef`	Subworkflow	dynamic	dynamic	Reference another workflow as subworkflow

Handle Types

Connections must match handle types:

image -> image
video -> video
audio -> audio
text -> text
number -> number

Default Data Schemas

imageInput

{
  "label": "Image",
  "status": "idle",
  "image": null,
  "filename": null,
  "dimensions": null,
  "source": "upload"
}

prompt

{
  "label": "Prompt",
  "status": "idle",
  "prompt": "",
  "variables": {}
}

imageGen

{
  "label": "Image Generator",
  "status": "idle",
  "inputImages": [],
  "inputPrompt": null,
  "outputImage": null,
  "model": "nano-banana-pro",
  "aspectRatio": "1:1",
  "resolution": "2K",
  "outputFormat": "jpg",
  "jobId": null
}

videoGen

{
  "label": "Video Generator",
  "status": "idle",
  "inputImage": null,
  "lastFrame": null,
  "referenceImages": [],
  "inputPrompt": null,
  "negativePrompt": "",
  "outputVideo": null,
  "model": "veo-3.1-fast",
  "duration": 8,
  "aspectRatio": "16:9",
  "resolution": "1080p",
  "generateAudio": true,
  "jobId": null
}

llm

{
  "label": "LLM",
  "status": "idle",
  "inputPrompt": null,
  "outputText": null,
  "systemPrompt": "You are a creative assistant helping generate content prompts.",
  "temperature": 0.7,
  "maxTokens": 1024,
  "topP": 0.9,
  "jobId": null
}

textToSpeech

{
  "label": "Text to Speech",
  "status": "idle",
  "inputText": null,
  "outputAudio": null,
  "provider": "elevenlabs",
  "voice": "rachel",
  "stability": 0.5,
  "similarityBoost": 0.75,
  "speed": 1.0,
  "jobId": null
}

lipSync

{
  "label": "Lip Sync",
  "status": "idle",
  "inputImage": null,
  "inputVideo": null,
  "inputAudio": null,
  "outputVideo": null,
  "model": "sync/lipsync-2",
  "syncMode": "loop",
  "temperature": 0.5,
  "activeSpeaker": false,
  "jobId": null
}

reframe

{
  "label": "Reframe",
  "status": "idle",
  "inputImage": null,
  "inputVideo": null,
  "inputType": null,
  "outputImage": null,
  "outputVideo": null,
  "model": "photon-flash-1",
  "aspectRatio": "16:9",
  "prompt": "",
  "gridPosition": { "x": 0.5, "y": 0.5 },
  "jobId": null
}

upscale

{
  "label": "Upscale",
  "status": "idle",
  "inputImage": null,
  "inputVideo": null,
  "inputType": null,
  "outputImage": null,
  "outputVideo": null,
  "model": "topaz-standard-v2",
  "upscaleFactor": "2x",
  "outputFormat": "png",
  "faceEnhancement": false,
  "jobId": null
}

videoStitch

{
  "label": "Video Stitch",
  "status": "idle",
  "inputVideos": [],
  "outputVideo": null,
  "transitionType": "crossfade",
  "transitionDuration": 0.5,
  "seamlessLoop": false
}

output

{
  "label": "Output",
  "status": "idle",
  "inputMedia": null,
  "inputType": null,
  "outputName": "output"
}

Layout Guidelines

Left to right flow: Input nodes on left, processing in middle, output on right
X positioning by category:
- Input: x = 0
- AI: x = 300
- Processing: x = 600
- Output: x = 900
Y spacing: 150-200px between nodes vertically
Edge style: Use "bezier" for visual appeal

ID Generation

Node IDs: Use sequential format like node_1, node_2, etc.
Edge IDs: Use format edge_{source}_{target} like edge_node_1_node_2

Example Workflows

Simple Image Generation

{
  "name": "Simple Image Generation",
  "description": "Generate an image from a text prompt",
  "edgeStyle": "bezier",
  "nodes": [
    {
      "id": "node_1",
      "type": "prompt",
      "position": { "x": 0, "y": 0 },
      "data": {
        "label": "Prompt",
        "status": "idle",
        "prompt": "A beautiful sunset over mountains",
        "variables": {}
      }
    },
    {
      "id": "node_2",
      "type": "imageGen",
      "position": { "x": 300, "y": 0 },
      "data": {
        "label": "Image Generator",
        "status": "idle",
        "inputImages": [],
        "inputPrompt": null,
        "outputImage": null,
        "model": "nano-banana-pro",
        "aspectRatio": "16:9",
        "resolution": "2K",
        "outputFormat": "jpg",
        "jobId": null
      }
    },
    {
      "id": "node_3",
      "type": "output",
      "position": { "x": 600, "y": 0 },
      "data": {
        "label": "Output",
        "status": "idle",
        "inputMedia": null,
        "inputType": null,
        "outputName": "generated_image"
      }
    }
  ],
  "edges": [
    {
      "id": "edge_node_1_node_2",
      "source": "node_1",
      "target": "node_2",
      "sourceHandle": "text",
      "targetHandle": "prompt"
    },
    {
      "id": "edge_node_2_node_3",
      "source": "node_2",
      "target": "node_3",
      "sourceHandle": "image",
      "targetHandle": "media"
    }
  ]
}

Image to Video Pipeline

{
  "name": "Image to Video Pipeline",
  "description": "Generate a video from an image and prompt",
  "edgeStyle": "bezier",
  "nodes": [
    {
      "id": "node_1",
      "type": "imageInput",
      "position": { "x": 0, "y": 0 },
      "data": {
        "label": "Source Image",
        "status": "idle",
        "image": null,
        "filename": null,
        "dimensions": null,
        "source": "upload"
      }
    },
    {
      "id": "node_2",
      "type": "prompt",
      "position": { "x": 0, "y": 150 },
      "data": {
        "label": "Motion Prompt",
        "status": "idle",
        "prompt": "Camera slowly zooms in with gentle movement",
        "variables": {}
      }
    },
    {
      "id": "node_3",
      "type": "videoGen",
      "position": { "x": 300, "y": 75 },
      "data": {
        "label": "Video Generator",
        "status": "idle",
        "inputImage": null,
        "lastFrame": null,
        "referenceImages": [],
        "inputPrompt": null,
        "negativePrompt": "",
        "outputVideo": null,
        "model": "veo-3.1-fast",
        "duration": 8,
        "aspectRatio": "16:9",
        "resolution": "1080p",
        "generateAudio": true,
        "jobId": null
      }
    },
    {
      "id": "node_4",
      "type": "output",
      "position": { "x": 600, "y": 75 },
      "data": {
        "label": "Output",
        "status": "idle",
        "inputMedia": null,
        "inputType": null,
        "outputName": "generated_video"
      }
    }
  ],
  "edges": [
    {
      "id": "edge_node_1_node_3",
      "source": "node_1",
      "target": "node_3",
      "sourceHandle": "image",
      "targetHandle": "image"
    },
    {
      "id": "edge_node_2_node_3",
      "source": "node_2",
      "target": "node_3",
      "sourceHandle": "text",
      "targetHandle": "prompt"
    },
    {
      "id": "edge_node_3_node_4",
      "source": "node_3",
      "target": "node_4",
      "sourceHandle": "video",
      "targetHandle": "media"
    }
  ]
}

Talking Head Video

{
  "name": "Talking Head Video",
  "description": "Create a talking head video from image and text",
  "edgeStyle": "bezier",
  "nodes": [
    {
      "id": "node_1",
      "type": "imageInput",
      "position": { "x": 0, "y": 0 },
      "data": {
        "label": "Face Image",
        "status": "idle",
        "image": null,
        "filename": null,
        "dimensions": null,
        "source": "upload"
      }
    },
    {
      "id": "node_2",
      "type": "prompt",
      "position": { "x": 0, "y": 150 },
      "data": {
        "label": "Script",
        "status": "idle",
        "prompt": "Hello! Welcome to our channel.",
        "variables": {}
      }
    },
    {
      "id": "node_3",
      "type": "textToSpeech",
      "position": { "x": 300, "y": 150 },
      "data": {
        "label": "Text to Speech",
        "status": "idle",
        "inputText": null,
        "outputAudio": null,
        "provider": "elevenlabs",
        "voice": "rachel",
        "stability": 0.5,
        "similarityBoost": 0.75,
        "speed": 1.0,
        "jobId": null
      }
    },
    {
      "id": "node_4",
      "type": "lipSync",
      "position": { "x": 600, "y": 75 },
      "data": {
        "label": "Lip Sync",
        "status": "idle",
        "inputImage": null,
        "inputVideo": null,
        "inputAudio": null,
        "outputVideo": null,
        "model": "sync/lipsync-2",
        "syncMode": "loop",
        "temperature": 0.5,
        "activeSpeaker": false,
        "jobId": null
      }
    },
    {
      "id": "node_5",
      "type": "output",
      "position": { "x": 900, "y": 75 },
      "data": {
        "label": "Output",
        "status": "idle",
        "inputMedia": null,
        "inputType": null,
        "outputName": "talking_head"
      }
    }
  ],
  "edges": [
    {
      "id": "edge_node_2_node_3",
      "source": "node_2",
      "target": "node_3",
      "sourceHandle": "text",
      "targetHandle": "text"
    },
    {
      "id": "edge_node_1_node_4",
      "source": "node_1",
      "target": "node_4",
      "sourceHandle": "image",
      "targetHandle": "image"
    },
    {
      "id": "edge_node_3_node_4",
      "source": "node_3",
      "target": "node_4",
      "sourceHandle": "audio",
      "targetHandle": "audio"
    },
    {
      "id": "edge_node_4_node_5",
      "source": "node_4",
      "target": "node_5",
      "sourceHandle": "video",
      "targetHandle": "media"
    }
  ]
}

Instructions

When the user describes a workflow:

Parse the request: Identify the content type (image, video, audio, text) and the pipeline steps
Select appropriate nodes: Choose from the registry based on capabilities needed
Design the flow: Arrange nodes left-to-right by category
Connect handles: Ensure type-safe connections (image->image, etc.)
Set default data: Use appropriate defaults for each node type
Generate valid JSON: Output complete, importable workflow JSON

Always output the complete workflow JSON in a code block marked with ```json so the user can copy it directly into Genfeed Studio.

What ships with it: 2 files

3.5 KB alongside SKILL.md

metadata.json689 B
README.md2.9 KB

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