# orionbelt-semantic-layer

> orionbelt-semantic-layer — ralforion-orionbelt-semantic-layer. Use this tool when you need to compile declarative YAML models into optimized SQL and semantic context for governed analytics and agentic AI. It solves problems related to data analysis and querying by providing a unified semantic layer across multiple SQL dialects. The tool takes YAML models as input and outputs optimized SQL, KPIs, and semantic context, making it ideal for use cases that require data standardization and querying efficiency.

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

## Description

Source-available semantic and context layer, rule engine, and semantic sidecar for agentic AI and governed analytics. Compiles declarative YAML models into optimized SQL, KPIs, and semantic context across 8 SQL dialects.

## Trust

- **Trust score (0–1):** 0.59
- **Verification tier:** scanned
- **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/ralforion/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": "ralforion-orionbelt-semantic-layer"
    }
  }
}
```

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