# fitllm

> fitllm — click6067-ship-it-fitllm-engine. Use this tool when you need to determine if an AI model can run on your Mac, solving problems of model compatibility and resource constraints. It takes AI model specifications as input and outputs whether the model can fit on your device. Ideal for developers and users who want to ensure seamless model deployment on their Mac.

Canonical page: https://skillsregistry.net/skills/click6067-ship-it-fitllm-engine  
JSON: https://api.skillsregistry.net/v1/skills/click6067-ship-it-fitllm-engine

## Description

Will this AI model fit on your Mac?

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nur711c7wr)
- **Repository:** <https://github.com/click6067-ship-it/fitllm-engine>

## 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": "click6067-ship-it-fitllm-engine"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/click6067-ship-it-fitllm-engine` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/click6067-ship-it-fitllm-engine/pull`

---
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