TOON (Token-Oriented Object Notation) Skill for Openclaw

A token-optimization skill that reduces structured data size by 30-60% to save costs and maximize context windows.

lythaeon
v3.0.0
Feb 2, 2026
0
0
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install toon-utils

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install toon-utils using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is TOON (Token-Oriented Object Notation) Skill?

The TOON (Token-Oriented Object Notation) Skill is a specialized utility designed for developers and AI agents who need to handle large amounts of structured data efficiently. By converting verbose JSON, directory structures, and API responses into a compressed format, this skill allows users of Openclaw Skills to significantly lower their token usage while maintaining the technical integrity of the data. This is particularly valuable when working with complex environments where context window limits are a primary concern.

At its core, TOON focuses on making data highly readable for LLMs while stripping away the syntactic overhead typically found in standard JSON. This ensures that agents integrated with Openclaw Skills can process more information in a single turn, resulting in faster execution speeds and reduced operational costs.

TOON (Token-Oriented Object Notation) Skill Use Cases

  • Compressing large JSON data files to fit within tight context windows.
  • Minimizing the token footprint of complex project directory trees.
  • Optimizing real-time API responses before they are consumed by an AI agent.
  • Enhancing the efficiency of multi-agent workflows within Openclaw Skills by reducing inter-agent communication size.

How TOON (Token-Oriented Object Notation) Skill Works

  1. The user or agent identifies structured data (like a JSON file or API response) that needs optimization.
  2. The data is piped into the globally installed toon CLI utility.
  3. The utility transforms the input into Token-Oriented Object Notation, removing redundant characters.
  4. The compressed output is then used by the AI agent, saving significant token space in the prompt context.

TOON (Token-Oriented Object Notation) Skill Setup

To maximize efficiency and reduce command-line overhead within Openclaw Skills, you must install the TOON CLI globally:

# Verify installation or install via npm
toon --version || npm install -g @toon-format/cli

TOON (Token-Oriented Object Notation) Skill Data Schema & Taxonomy

The TOON skill acts as a transformer for various data inputs. It does not store data itself but reorganizes input into a dense taxonomy. Typical transformations include:

Input Source Method Description
Local JSON cat file.json | toon Converts static files to TOON notation.
External APIs curl -s url | toon Compresses live API data streams.
Filesystems tree -J | toon Transforms directory structures into token-efficient lists.
In-line Strings echo '...' | toon Quick compression of JSON strings.

TOON (Token-Oriented Object Notation) Skill Advanced Features

  • Universal Unix Pipe Support: Seamlessly integrate with any CLI tool that outputs JSON.
  • Minimal Command Overhead: Designed specifically to use the shortest possible command names to save tokens during execution.
  • LLM-Optimized Readability: Unlike binary compression, TOON remains fully intelligible to modern language models.
  • Global CLI Persistence: Bypasses the need for npx to ensure low-latency performance in Openclaw Skills environments.

SKILL.md


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