# roampal

> roampal — roampal-ai-roampal. Use this tool when you need to optimize memory performance by learning from successful interactions, solving problems related to memory allocation and utilization. It takes in data on past experiences and outputs optimized memory configurations, streamlining workflows and improving overall system efficiency. Ideal for use in version control systems like git, where memory optimization is crucial for smooth operation.

Canonical page: https://skillsregistry.net/skills/roampal-ai-roampal  
JSON: https://api.skillsregistry.net/v1/skills/roampal-ai-roampal

## Description

Memory that learns what works.

## Trust

- **Trust score (0–1):** 0.45
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/roampal-ai/roampal)

## 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": "roampal-ai-roampal"
    }
  }
}
```

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