# simuladorllm

> Use this tool when you need to simulate and manage Git workflows, as it provides a simulated environment to test and optimize Git operations, solving version control and collaboration problems. It accepts Git commands and repository data as inputs and outputs simulated results and feedback. Utilize simuladorllm in development and testing contexts to streamline Git-based workflows and improve overall productivity.

Canonical page: https://skillsregistry.net/skills/mcpia-simuladorllm  
JSON: https://api.skillsregistry.net/v1/skills/mcpia-simuladorllm

## Trust

- **Trust score (0–1):** 0.75
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/mcpia/simuladorllm)
- **Repository:** <https://github.com/paulosrl/SimuladorLLM>

## 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": "mcpia-simuladorllm"
    }
  }
}
```

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