Fal Workflow

Overview

Generate workflow JSON files for chaining AI models

When to Use

Create a reviewable graph for a multi-step fal.ai media workflow, or plan an explicitly authorized run through an already available integration.

Workflow Authoring

Resolve inputs, outputs, dependencies, model schemas, privacy and cost limits. Distinguish a portable JSON deliverable from local CLI orchestration; AAS does not bundle the upstream CLI or references. Inspect current endpoint schemas before choosing models. Keep node IDs consistent with keys and include every referenced node in dependencies. Use run or display nodes for the documented JSON runtime; input fields belong in its input schema. Whole-value references are distinct from unsupported string interpolation.

This illustrative node fragment requires a matching real producer and surrounding workflow schema; it is not a standalone runnable file:

{"id":"output","type":"display","depends":["image"],"fields":{"image":"$image.images.0.url"}}

Validate graph references and real model contracts before delivery. Drafting does not authorize upload, execution or publication. Report schema validation and actual job execution separately; no “production-ready” guarantee.

Current richer source: fal workflow.

Example

User request:

Generate workflow JSON files for chaining AI models.

Limitations

• Use this skill only when the task clearly matches the scope described above.
• Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.