# Glacier.Graph

> Glacier.Graph — ian-cowley-glacier-graph. Use this tool when you need to efficiently store and query complex graph data structures, solving problems such as social network analysis, traffic routing, and recommendation systems. Glacier.Graph takes in array-backed data and outputs traversed graph results, providing a high-performance and scalable solution. Utilize it in .NET 10 applications requiring fast graph database and traversal capabilities.

Canonical page: https://skillsregistry.net/skills/ian-cowley-glacier-graph  
JSON: https://api.skillsregistry.net/v1/skills/ian-cowley-glacier-graph

## Description

High-performance, zero-allocation array-backed graph database and traversal engine for .NET 10 utilizing Forward Star representation.

## Trust

- **Trust score (0–1):** 0.55
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [GitHub](https://github.com/ian-cowley/Glacier.Graph)

## 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": "ian-cowley-glacier-graph"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ian-cowley-glacier-graph` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ian-cowley-glacier-graph/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
