# digital-twin

> Use this tool when you need to simulate and analyze phone drop tests with precise control over digital twin simulations. It solves problems related to converting LS-DYNA .k meshes to solid .k files and applying hand grip poses using 7 MCP tools, streamlining the simulation pipeline. The tool accepts natural language inputs and outputs solid .k files for further analysis, ideal for use cases requiring rapid and accurate phone drop test simulations.

Canonical page: https://skillsregistry.net/skills/squall321-digitaltwinsimulation  
JSON: https://api.skillsregistry.net/v1/skills/squall321-digitaltwinsimulation

## Description

Enables natural language control of a digital twin simulation pipeline for phone drop tests, converting LS-DYNA .k meshes to solid .k files with hand grip poses using 7 MCP tools.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qifyut7k8h)
- **Repository:** <https://github.com/squall321/DigitalTwinSimulation>

## 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": "squall321-digitaltwinsimulation"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/squall321-digitaltwinsimulation` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/squall321-digitaltwinsimulation/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