Encode JSON into compact TOON format for reduced token usage.
npx skills add https://github.com/georgekhananaev/claude-skills-vault --skill toon
Please help me install this Agent Skill. Skill: toon Source: https://github.com/georgekhananaev/claude-skills-vault/tree/main/.claude/skills/document-skills/toon Command: npx skills add https://github.com/georgekhananaev/claude-skills-vault --skill toon
TOON provides a compact, human-readable encoding of JSON designed to minimize token usage in LLM prompts while preserving lossless round-trips.
Convert a sample.json to TOON using the Node.js converter: node convert.js sample.json > sample.toon. Then decode back with --verify to ensure round-trip integrity.
High-intent search queries and answers about installing and using this skill.
You can compress JSON for LLM prompts by converting it into the TOON format, a compact, human-readable encoding that minimizes token counts while preserving lossless round-trips. It efficiently reduces large data payloads without losing structure.
The best way to convert large API responses is encoding them as TOON, which transforms heavy JSON payloads into a compact, tabular-style format. This speeds up prompt processing and improves LLM comprehension of configuration data.
To encode JSON files using Node.js, run the converter script: `node convert.js sample.json > sample.toon`. This requires the @toon-format/toon library and outputs a compact, human-readable format optimized for LLMs.
Yes, TOON supports lossless round-trips between JSON and its compact format. You can decode the output back to JSON and verify integrity using the `--verify` flag to ensure no data is lost during conversion.
Yes, you can use a Python fallback to encode and decode JSON payloads if Node.js is unavailable. The TOON format supports both the @toon-format/toon Node library and a Python alternative for data conversion.
You should avoid compact JSON encoding for workflows that do not involve data-heavy payloads or large datasets. If prompt length is not a constraint, standard JSON may be sufficient without requiring format conversion.
GoosLabReduce JSON payloads and parse TOON-encoded data for LLM workflows.
knoopxConvert JSON data into compact TOON notation to reduce token usage.
mattjoyceConvert large JSON datasets into a compact TOON format for LLM prompts.
butttonsEncode JSON data into Token-Oriented Object Notation with indentation and tabular arrays.
