data-serialization

Community

Token-efficient data conversion and querying

Authornsheaps
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Convert, normalize, and query structured data across formats to make toolchains and LLM contexts compact, consistent, and queryable. It eliminates manual format juggling and reduces tokens for LLM inputs by providing reliable conversions and query patterns.

Core Features & Use Cases

  • Format conversion between JSON, YAML, TOON, XML, and HTML with guidance on when to use each format.
  • Token-efficient TOON encoding/decoding to reduce LLM input size for uniform arrays and tabular data.
  • Querying guidance and examples using jq, yq, and XPath/xmllint, plus Playwright accessibility snapshot conversion for accessibility testing workflows.
  • Use case: convert API output to TOON for prompt input, run jq/yq filters to extract relevant records, or turn Playwright snapshots into queryable JSON for automated audits.

Quick Start

Convert data.json to TOON format and return the converted content.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

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Please help me install this Skill:
Name: data-serialization
Download link: https://github.com/nsheaps/ai-mktpl/archive/main.zip#data-serialization

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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