# crm-data-cleaner

> crm-data-cleaner — luigi08001-crm-data-cleaner. Use this tool when you need to refine your customer relationship management data by removing duplicates, standardizing formats, and adding valuable information to contacts and companies. It solves problems of data inconsistencies, inaccuracies, and incompleteness, enabling better customer insights and engagement. The tool takes in raw CRM data as input and outputs cleaned, normalized, and enriched data, ideal for use in sales, marketing, and customer service applications.

Canonical page: https://skillsregistry.net/skills/luigi08001-crm-data-cleaner  
JSON: https://api.skillsregistry.net/v1/skills/luigi08001-crm-data-cleaner

## Description

Deduplicate, normalize, and enrich CRM contacts and companies.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-20

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-16

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/luigi08001-crm-data-cleaner)

## 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": "luigi08001-crm-data-cleaner"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/luigi08001-crm-data-cleaner` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/luigi08001-crm-data-cleaner/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