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moai-formats-data

Optimize data formats with TOON encoding, JSON/YAML serialization, and schema validation.

Updated Nov 20, 2025
Search Tags:#validation#LLM optimization#JSON#YAML#data formats#serialization#TOON
One-click install
npx skills add https://github.com/soo-kate-yeon/shadowoo --skill moai-formats-data-soo-kate-yeon
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: moai-formats-data
Source: https://github.com/soo-kate-yeon/shadowoo/tree/main/.agents/skills/moai-formats-data
Command: npx skills add https://github.com/soo-kate-yeon/shadowoo --skill moai-formats-data-soo-kate-yeon

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines data handling by optimizing formats for LLM communication, ensuring high-performance serialization, and providing robust data validation.

Core Features & Use Cases

  • TOON Encoding: Achieve 40-60% token reduction for LLM prompts.
  • High-Performance JSON/YAML: Utilize ultra-fast serialization and streaming for large datasets.
  • Data Validation: Ensure data integrity with schema validation and custom rules.
  • Use Case: Optimize API responses for LLMs by encoding data with TOON, or process massive JSON files efficiently using streaming techniques.

Quick Start

Use the moai-formats-data skill to encode the provided dictionary into TOON format.

Frequently Asked Questions about moai-formats-data

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

FAQPage Schema
How do I reduce token usage in LLM prompts using data formats?▼

TOON encoding reduces LLM prompt token usage by 40-60% by optimizing data formats. You can encode dictionaries into TOON format to achieve significant token budget management and lower API costs.

What is the best way to process massive JSON files without running out of memory?▼

High-performance JSON streaming using ijson allows you to process massive JSON datasets efficiently. This approach parses large files iteratively, preventing memory overload during serialization.

How does schema validation ensure data integrity for YAML and JSON?▼

Schema validation ensures data integrity by enforcing custom rules and predefined structures on YAML and JSON formats. This process validates data against schema definitions before serialization or API transmission.

Can I use orjson for high-performance JSON serialization in Python?▼

Yes, orjson supports high-performance JSON serialization in Python. It provides ultra-fast encoding and decoding capabilities, making it suitable for optimizing API responses and handling large datasets efficiently.

When do I need TOON encoding instead of standard JSON for LLMs?▼

You need TOON encoding instead of standard JSON when managing strict token budgets for LLM communication. TOON format achieves higher data density, making it ideal for optimizing large API responses sent to LLMs.

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