# neuromesh

> neuromesh — pinoox-neuromesh. Use this tool when you need to develop and deploy AI-powered coding assistants with a biomimetic context engine and neural runtime. It solves problems related to AI-driven code completion, code review, and software development automation, integrating with git for seamless version control. The neuromesh tool accepts code snippets and project requirements as inputs and outputs optimized, AI-generated code solutions.

Canonical page: https://skillsregistry.net/skills/pinoox-neuromesh  
JSON: https://api.skillsregistry.net/v1/skills/pinoox-neuromesh

## Description

The Biomimetic Context Engine & Neural Runtime for AI Coding Assistants

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-26

## Source

- **Source listing:** [GitHub](https://github.com/pinoox/neuromesh)

## 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": "pinoox-neuromesh"
    }
  }
}
```

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