moai-formats-data

Encode and decode data using TOON format for token-efficient transfer.

Updated Jan 12, 2026
One-click install
npx skills add https://github.com/windysky/claude_notification_wsl2 --skill moai-formats-data-windysky
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: moai-formats-data
Source: https://github.com/windysky/claude_notification_wsl2/tree/main/.claude/skills/moai-formats-data
Command: npx skills add https://github.com/windysky/claude_notification_wsl2 --skill moai-formats-data-windysky

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Data interchange overhead is a barrier in modern data pipelines, especially for AI-assisted workflows, and this Skill provides token-optimized formats and robust validation to streamline data flow.

Core Features & Use Cases

  • TOON Encoding for token-efficient data transfer with lossless round-trips.
  • High-performance JSON/YAML handling with fast serialization/deserialization and streaming.
  • Data validation and schema evolution support for API responses and configurations.
  • Use Case: Process large datasets to minimize token usage when sending data to LLMs.

Quick Start

Install the package with pip, then run: from moai_formats_data import TOONEncoder encoder = TOONEncoder() toon = encoder.encode({'user':'Alice','active':True}) data = encoder.decode(toon)

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 JSON token usage when sending large datasets to LLMs?

You can reduce JSON token usage for LLMs by applying TOON encoding, a token-optimized data format that ensures lossless round-trips while minimizing data interchange overhead in AI-assisted data pipelines.

What is TOON encoding and when do I need it for data serialization?

TOON encoding is a token-efficient data serialization method needed for fast AI data transfer, providing lossless round-trips to streamline data flow in large-scale data transformation tasks and API responses.

How to validate API response schemas and handle configuration migration?

Validate API response schemas and handle configuration migration using built-in data validation and schema evolution support, ensuring robust configuration management and data integrity during streaming processing.

Does this data format tool support fast YAML serialization and streaming processing?

Yes, this tool supports fast YAML serialization and deserialization alongside streaming processing, enabling high-performance data handling for large-scale data transformation tasks and caching.

Can I use TOON encoding for configuration management without losing data?

Yes, you can use TOON encoding for configuration management without losing data because it provides lossless round-trips, ensuring original data is fully recovered after decoding.