# kern

> kern — jpoindexter-kern. Use this tool when you need to enforce design system consistency in AI-generated code, solving problems such as inconsistent styling and formatting. It takes in code repositories as input and outputs standardized, compliant code through its 23 CLI commands and 25 scanners. Ideal for use in git-based development workflows where design system enforcement is crucial.

Canonical page: https://skillsregistry.net/skills/jpoindexter-kern  
JSON: https://api.skillsregistry.net/v1/skills/jpoindexter-kern

## Description

Design system enforcement for AI coding assistants. 23 CLI commands, 25 scanners, 21 MCP tools, 8 presets.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/jpoindexter/kern)

## 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": "jpoindexter-kern"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jpoindexter-kern` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jpoindexter-kern/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