# Skinny Jeans

> Use this tool when you need to optimize file sizes and reduce token consumption in your projects. Skinny Jeans solves problems related to file bloat by compressing JSON files, stripping comments from code, and minifying markdown, providing inputs such as JSON, code, and markdown files and outputs including optimized files and savings analysis reports. It is ideal for use cases where file size reduction is crucial, such as in web development, data storage, and transmission applications.

Canonical page: https://skillsregistry.net/skills/jordan112-skinny-jeans  
JSON: https://api.skillsregistry.net/v1/skills/jordan112-skinny-jeans

## Description

Skinny Jeans provides tools for optimizing token consumption when reading files. It uses TOON (Token-Oriented Object Notation) encoding to compress JSON files, strips comments from code, and minifies markdown by removing frontmatter and badges. Offers specialized tools for reading files with automatic optimization, JSON-to-TOON conversion, token count estimation, compact directory listings, and project-wide savings analysis. Achieves approximately 40-60% savings for JSON, 15-30% for markdown, and 10-20% for code files.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/jordan112-skinny-jeans)
- **Repository:** <https://github.com/jordan112/skinny-jeans>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "jordan112-skinny-jeans"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jordan112-skinny-jeans` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jordan112-skinny-jeans/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt