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guidance

Generate structured JSON, XML, and code outputs using regex and grammatical constraints.

1|1|Updated May 25, 2026
Search Tags:#structured data#guidance#AI#regex#output control
One-click install
npx skills add https://github.com/aayushsoam/clawbot-agent --skill guidance-aayushsoam
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: guidance
Source: https://github.com/aayushsoam/clawbot-agent/tree/main/optional-skills/mlops/guidance
Command: npx skills add https://github.com/aayushsoam/clawbot-agent --skill guidance-aayushsoam

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires guidance, transformers, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill allows users to control AI model outputs with constraints, ensuring grammatical correctness, format adherence, and structured data generation.

Core Features & Use Cases

  • Regex Constraints: Apply regex patterns to control syntax and format.
  • Structured Output: Generate valid JSON, XML, and other structured data formats.
  • Use Case: Generate a JSON object for a user's personal information with validation for fields like name, age, and email.

Quick Start

Use the guidance skill to generate a structured JSON object for a new user's personal information with name and email.

Frequently Asked Questions about guidance

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I ensure AI models generate valid JSON and structured data?▼

To ensure AI models generate valid JSON and structured data, apply regex and grammatical constraints to control syntax and enforce format adherence during generation.

Can I use regex constraints to control AI model output format?▼

Yes, you can apply regex patterns to control AI model output syntax and format. This ensures grammatical correctness and strict adherence to structured data requirements like valid JSON or XML.

What is the best way to generate structured user information in JSON from AI?▼

The best way to generate structured JSON user information is to use constraint-based generation with regex validation for specific fields like name, age, and email, ensuring the output is grammatically correct.

Do I need the transformers library to apply grammatical constraints to AI output?▼

Yes, you need the transformers and guidance dependencies to apply regex constraints and integrate various AI models for structured output generation in Python.

Does Python-based structured data generation support XML and code output?▼

Python-based structured data generation supports XML and code output by using grammatical constraints to enforce syntax correctness across various formats and AI models.

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