# Zig

> Use this tool when you need to optimize, generate, or analyze Zig code, and want to leverage AI-enhanced capabilities for improved performance and best practices. It solves problems related to code efficiency, computation estimation, and resource discovery, providing inputs such as Zig code snippets and outputs like optimized code and recommendations. Ideal for AI assistants and developers working with Zig, this tool streamlines the development process and enhances overall productivity.

Canonical page: https://skillsregistry.net/skills/opensvm-zig  
JSON: https://api.skillsregistry.net/v1/skills/opensvm-zig

## Description

This Zig MCP server, developed to enhance AI capabilities with Zig-specific functionality, provides tools for code optimization, compute unit estimation, code generation, and best practices recommendations. It integrates with the Model Context Protocol SDK and leverages GitHub's API for accessing popular Zig repositories. The server stands out by offering language-specific features like optimization level selection and comptime analysis. It's particularly useful for AI assistants and developers working with Zig, enabling them to generate, analyze, and optimize Zig code efficiently, as well as access curated language resources and documentation.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/opensvm-zig)
- **Repository:** <https://github.com/opensvm/zig-mcp-server>

## 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": "opensvm-zig"
    }
  }
}
```

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