# arm-code-mcp

> arm-code-mcp — jean-johnson-zwix-arm-code-mcp. Use this tool when you need to optimize Linux workloads on Arm64 architecture, as it parses perf report output to recommend NEON SIMD intrinsics and audits Python dependencies for arm64 compatibility. It solves problems related to performance optimization and compatibility issues on Arm64 platforms. The tool takes perf report output and Python dependency manifests as inputs and provides optimization recommendations and audit reports as outputs.

Canonical page: https://skillsregistry.net/skills/jean-johnson-zwix-arm-code-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jean-johnson-zwix-arm-code-mcp

## Description

Helps AI assistants optimize Linux workloads on Arm64 by parsing perf report output, recommending NEON SIMD intrinsics for hot loops, and auditing Python dependency manifests for arm64 wheel availability — all offline and structured.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/q5bv0yucjq)
- **Repository:** <https://github.com/jean-johnson-zwix/arm-code-mcp>

## 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": "jean-johnson-zwix-arm-code-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jean-johnson-zwix-arm-code-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jean-johnson-zwix-arm-code-mcp/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