# go-code

> Use this tool when you need to analyze and understand code structures, identify dead code, or perform semantic searches within codebases. It provides inputs such as git repositories and outputs like AST parses, call graphs, and search results, enabling AI agents to make informed decisions. Ideal for use cases involving code optimization, maintenance, and navigation.

Canonical page: https://skillsregistry.net/skills/anatolykoptev-go-code  
JSON: https://api.skillsregistry.net/v1/skills/anatolykoptev-go-code

## Description

MCP server providing code intelligence tools for AI agents: AST parsing, semantic search, call graphs, dead-code detection.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-05-26

## Source

- **Source listing:** [GitHub](https://github.com/anatolykoptev/go-code)

## 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": "anatolykoptev-go-code"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/anatolykoptev-go-code` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/anatolykoptev-go-code/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