# OrionBelt Semantic Layer

> Use this tool when you need to compile semantic models into SQL queries or build a unified semantic layer over databases. It solves the problem of inconsistent business logic across different SQL dialects by providing a dialect-agnostic API. The tool takes YAML-defined semantic models as input and outputs dialect-specific SQL queries, making it ideal for use cases that require consistent data access and manipulation across various database systems.

Canonical page: https://skillsregistry.net/skills/gh-ralfbecher-orionbelt-semantic-layer  
JSON: https://api.skillsregistry.net/v1/skills/gh-ralfbecher-orionbelt-semantic-layer

## Description

Compiles YAML-defined semantic models into dialect-specific SQL queries. Provides an API-first approach to building semantic layers over databases, enabling consistent business logic across different SQL dialects.

## Trust

- **Trust score (0–1):** 0.57
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/gh-ralfbecher-orionbelt-semantic-layer)
- **Repository:** <https://github.com/ralfbecher/orionbelt-semantic-layer>

## 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": "gh-ralfbecher-orionbelt-semantic-layer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gh-ralfbecher-orionbelt-semantic-layer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gh-ralfbecher-orionbelt-semantic-layer/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