# TitanicAIAnalysis

> TitanicAIAnalysis — oopslab-fyi-titanicaianalysis. Use this tool when you need to analyze the Titanic dataset to gain insights into passenger survival rates and demographic trends. It solves problems related to data exploration, pattern discovery, and predictive modeling, providing outputs such as visualizations and statistical models from inputs like CSV files and SQL queries. Ideal for data scientists and researchers looking to uncover hidden relationships within the Titanic dataset.

Canonical page: https://skillsregistry.net/skills/oopslab-fyi-titanicaianalysis  
JSON: https://api.skillsregistry.net/v1/skills/oopslab-fyi-titanicaianalysis

## Description

MCP Server para análisis de datos sobre dataset del Titanic

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/oopslab-fyi/TitanicAIAnalysis)

## 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": "oopslab-fyi-titanicaianalysis"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/oopslab-fyi-titanicaianalysis` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/oopslab-fyi-titanicaianalysis/pull`

---
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