fal-workflow skill

Overview

This skill generates workflow JSON files to chain AI models and define multi-step agentic pipelines. It focuses on structuring model calls, data flows, and decision logic so agents can execute complex tasks reliably. The output is ready-to-use JSON representing steps, inputs, and connectors for orchestration systems.

How this skill works

The skill inspects desired task steps and maps them to workflow nodes that represent model invocations, data transforms, and branching logic. It validates input/output shapes, links node outputs to subsequent node inputs, and emits a JSON schema that captures the execution order and runtime parameters. Optional metadata and retries can be included to increase reliability in production runs.

When to use it

• Designing multi-step AI pipelines that require orchestrating several models or tools.
• Prototyping agent workflows for autonomous coding, research assistants, or data processing.
• Automating chains where outputs of one model feed into another with conditional branching.
• Creating standardized workflow artifacts for audit, review, or deployment.
• Generating workflows for testing different model combinations and hyperparameters.

Best practices

• Define clear input and output schemas for each node to avoid data mismatches during execution.
• Keep nodes single-purpose: one model call or transformation per node improves readability and reusability.
• Use explicit error-handling and retry policies in the workflow JSON for robust production behavior.
• Annotate workflows with descriptive metadata to assist reviewers and auditors.
• Version workflows and include changelogs so deployments remain traceable and reproducible.

Example use cases

• Chaining a summarization model followed by a fact-checking model and then a formatting model for report generation.
• Building an autonomous coding assistant that drafts code, runs static analysis, and applies fixes in sequence.
• Orchestrating a research pipeline that extracts data, performs topic clustering, and generates insights.
• Creating an inspection workflow for security auditing: prompt generation, vulnerability scanning, and remediation suggestions.
• Testing alternative model routes by swapping nodes and comparing outputs via a single JSON manifest.

FAQ