# Semantic Metrics Modeling Assistant

> Use this tool when you need to manage and govern metric definitions with data quality assessment and visualization. It solves problems related to metric consistency, data trust, and change management by providing a database for storing metric definitions, calculating dynamic trust scores, and exporting metrics to popular BI tools. The tool takes in metric definitions and usage patterns as inputs and outputs visualized metric lineages, trust scores, and validation reports.

Canonical page: https://skillsregistry.net/skills/jkelleman-semantic-metrics-modeling-assistant  
JSON: https://api.skillsregistry.net/v1/skills/jkelleman-semantic-metrics-modeling-assistant

## Description

A semantic metrics modeling assistant that helps data teams manage metric definitions with governance, quality assessment, and visualization capabilities. The system provides a database for storing metric definitions with change history tracking, calculates dynamic trust scores based on factors like test coverage, usage patterns, freshness, and documentation quality, and exports metrics to popular BI tools like Looker, Tableau, and dbt. Includes lineage visualization through ASCII trees and Mermaid diagrams, metric validation, and impact analysis for downstream dependencies.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/jkelleman-semantic-metrics-modeling-assistant)
- **Repository:** <https://github.com/jkelleman/semantic-metrics-modeling-assistant>

## 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": "jkelleman-semantic-metrics-modeling-assistant"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jkelleman-semantic-metrics-modeling-assistant` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jkelleman-semantic-metrics-modeling-assistant/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