# InmoPipeline

> InmoPipeline — k31ner-inmopipeline. Use this tool when you need to analyze and model real estate data for predictive insights, leveraging capabilities such as data collection, transformation, visualization, and machine learning. It solves problems related to data-driven decision making in the real estate sector, providing outputs in the form of predictive models and visualizations. Ideal for use cases involving large datasets and complex analytics, with inputs including raw data and outputs comprising actionable predictions and trends.

Canonical page: https://skillsregistry.net/skills/k31ner-inmopipeline  
JSON: https://api.skillsregistry.net/v1/skills/k31ner-inmopipeline

## Description

Proyecto integral de análisis y modelado predictivo de datos inmobiliarios, que abarca recolección, transformación, visualización y machine learning utilizando Python y herramientas modernas de ingeniería y ciencia de datos.

## Trust

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

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/K31NER/InmoPipeline)

## 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": "k31ner-inmopipeline"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/k31ner-inmopipeline` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/k31ner-inmopipeline/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