Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Build and orchestrate multi-step AI workflows combining multiple EachLabs models. Create custom pipelines, trigger executions, and manage workflow versions....
Build and orchestrate multi-step AI workflows combining multiple EachLabs models. Create custom pipelines, trigger executions, and manage workflow versions....
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Build, manage, and execute multi-step AI workflows that chain multiple models together via the EachLabs Workflows API.
Header: X-API-Key: <your-api-key> Set the EACHLABS_API_KEY environment variable. Get your key at eachlabs.ai.
https://workflows.eachlabs.run/api/v1
To build a workflow, you must: (1) create the workflow, then (2) create a version with the steps.
curl -X POST https://workflows.eachlabs.run/api/v1/workflows \ -H "Content-Type: application/json" \ -H "X-API-Key: $EACHLABS_API_KEY" \ -d '{ "name": "Product Photo to Video", "description": "Generate a product video from a product photo" }' This returns a workflowID. Use it in the next step.
curl -X POST https://workflows.eachlabs.run/api/v1/workflows/{workflowID}/versions \ -H "Content-Type: application/json" \ -H "X-API-Key: $EACHLABS_API_KEY" \ -d '{ "description": "Initial version", "steps": [ { "name": "enhance_photo", "model": "gpt-image-v1-5-edit", "version": "0.0.1", "input": { "prompt": "Place this product on a clean white background with studio lighting", "image_urls": ["{{inputs.image_url}}"], "quality": "high" } }, { "name": "create_video", "model": "pixverse-v5-6-image-to-video", "version": "0.0.1", "input": { "image_url": "{{steps.enhance_photo.output}}", "prompt": "Slow cinematic rotation around the product", "duration": "5", "resolution": "1080p" } } ] }' Important: Before adding a model to a workflow step, check its schema with GET https://api.eachlabs.ai/v1/model?slug=<slug> to validate the correct input parameters.
curl -X POST https://workflows.eachlabs.run/api/v1/{workflowID}/trigger \ -H "Content-Type: application/json" \ -H "X-API-Key: $EACHLABS_API_KEY" \ -d '{ "inputs": { "image_url": "https://example.com/product.jpg" } }'
curl https://workflows.eachlabs.run/api/v1/executions/{executionID} \ -H "X-API-Key: $EACHLABS_API_KEY" Poll until status is "completed" or "failed". Extract output from step_outputs.
curl https://workflows.eachlabs.run/api/v1/workflows \ -H "X-API-Key: $EACHLABS_API_KEY"
curl https://workflows.eachlabs.run/api/v1/workflows/{workflowID} \ -H "X-API-Key: $EACHLABS_API_KEY"
Trigger the same workflow with multiple inputs: curl -X POST https://workflows.eachlabs.run/api/v1/{workflowID}/trigger/bulk \ -H "Content-Type: application/json" \ -H "X-API-Key: $EACHLABS_API_KEY" \ -d '{ "executions": [ { "inputs": { "image_url": "https://example.com/product1.jpg" } }, { "inputs": { "image_url": "https://example.com/product2.jpg" } }, { "inputs": { "image_url": "https://example.com/product3.jpg" } } ] }'
curl https://workflows.eachlabs.run/api/v1/executions/{executionID} \ -H "X-API-Key: $EACHLABS_API_KEY" Response includes status (pending, running, completed, failed) and step_outputs with results from each step.
Configure a webhook to receive results asynchronously: curl -X POST https://workflows.eachlabs.run/api/v1/{workflowID}/trigger \ -H "Content-Type: application/json" \ -H "X-API-Key: $EACHLABS_API_KEY" \ -d '{ "inputs": { "image_url": "https://example.com/photo.jpg" }, "webhook_url": "https://your-server.com/webhook" }'
Workflow versions allow you to iterate on workflows while keeping previous versions intact. Steps are defined in versions, not in the workflow itself.
curl -X POST https://workflows.eachlabs.run/api/v1/workflows/{workflowID}/versions \ -H "Content-Type: application/json" \ -H "X-API-Key: $EACHLABS_API_KEY" \ -d '{ "description": "Added upscaling step", "steps": [ { "name": "generate_image", "model": "gpt-image-v1-5-text-to-image", "version": "0.0.1", "input": { "prompt": "{{inputs.prompt}}", "quality": "high" } }, { "name": "upscale", "model": "topaz-upscale-image", "version": "0.0.1", "input": { "image_url": "{{steps.generate_image.output}}" } } ] }'
curl https://workflows.eachlabs.run/api/v1/workflows/{workflowID}/versions/{versionID} \ -H "X-API-Key: $EACHLABS_API_KEY"
curl -X PUT https://workflows.eachlabs.run/api/v1/workflows/{workflowID}/versions/{versionID} \ -H "Content-Type: application/json" \ -H "X-API-Key: $EACHLABS_API_KEY" \ -d '{ "description": "Updated prompt template", "steps": [ { "name": "generate_image", "model": "gpt-image-v1-5-text-to-image", "version": "0.0.1", "input": { "prompt": "Professional photo: {{inputs.prompt}}", "quality": "high" } } ] }'
curl https://workflows.eachlabs.run/api/v1/workflows/{workflowID}/versions \ -H "X-API-Key: $EACHLABS_API_KEY"
Two-phase creation: Create workflow first, then add steps via versions Step chaining: Reference previous step outputs with {{steps.step_name.output}} Input variables: Use {{inputs.variable_name}} to pass dynamic inputs Version management: Create, update, and retrieve workflow versions Bulk execution: Process multiple inputs in a single API call Webhook support: Get notified when executions complete Public/unlisted sharing: Share workflows with others
See references/WORKFLOW-EXAMPLES.md for common workflow patterns.
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