# Catalog Attribute Normalizer

> Catalog Attribute Normalizer — acjlabs-catalog-normalizer. Use this tool when you need to standardize and organize product catalog data, solving problems like inconsistent attribute formatting and incorrect taxonomy mappings. It takes in messy product attributes and outputs normalized data, mapped to standard taxonomies like Google and Shopify. Ideal for e-commerce applications requiring accurate product categorization and retrieval.

Canonical page: https://skillsregistry.net/skills/acjlabs-catalog-normalizer  
JSON: https://api.skillsregistry.net/v1/skills/acjlabs-catalog-normalizer

## Description

Normalizes messy product catalog attributes and maps products to taxonomies like Google and Shopify, with retrieval-grounded category classification.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ecommerce
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/q2si7dy6ix)
- **Repository:** <https://github.com/ACJLabs/catalog-normalizer>

## 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": "acjlabs-catalog-normalizer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/acjlabs-catalog-normalizer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/acjlabs-catalog-normalizer/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