Structured Output Fabric FAQs

Question 1

What models does this skill support?

Accepted Answer

The skill intelligently selects between Claude 3.5 Haiku and Claude 3.5 Sonnet. Haiku is used for speed and cost-efficiency on standard tasks, while Sonnet is engaged for complex data structures and nuanced extraction.

Question 2

What does the Structured Output Fabric skill do?

Accepted Answer

This skill automates the process of converting unstructured text—such as logs, API responses, or file contents—into clean, validated JSON. It uses a multi-stage workflow to ensure the output strictly follows your specified schema.

Question 3

How does it improve my development workflow?

Accepted Answer

It eliminates manual data parsing by automating prompt engineering and output validation. By using Fabric to improve prompts and jq for validation, it guarantees reliable, structured data that can be used immediately by other tools.

Question 4

Can I define custom constraints for the JSON fields?

Accepted Answer

Yes. The skill supports strict schema enforcement, allowing you to define field types (string, array, object), character limits, and specific formatting constraints which are then integrated into the extraction prompt.

Question 5

When should I use this skill?

Accepted Answer

Use this skill whenever you need machine-readable data from a text source. It is ideal for phrases like 'get JSON with fields X, Y, Z' or 'convert this log into a structured format' during your development workflow.

Structured Output Fabric

Structured Output Fabric

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Características Principales

Casos de Uso

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Características Principales

Casos de Uso