# ast2llm-go

> ast2llm-go — ast2llm-ast2llm-go. Use this tool when you need to parse Go source code into an Abstract Syntax Tree (AST) and convert it into a format suitable for Large Language Models (LLMs). It solves the problem of preprocessing Go code for AI-powered analysis and processing, accepting Go source code as input and producing a clean, LLM-friendly output. Ideal for use cases involving code analysis, generation, or optimization, particularly in git-based development workflows.

Canonical page: https://skillsregistry.net/skills/ast2llm-ast2llm-go  
JSON: https://api.skillsregistry.net/v1/skills/ast2llm-ast2llm-go

## Description

Powerful MCP-server that parses Go source code into AST and converts it into a clean, LLM-friendly format.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/ast2llm/ast2llm-go)

## 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": "ast2llm-ast2llm-go"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ast2llm-ast2llm-go` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ast2llm-ast2llm-go/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