# go-enriche

> go-enriche — anatolykoptev-go-enriche. Use this tool when you need to automate and enhance your Git workflow, solving problems such as repetitive repository management tasks and optimizing code collaboration. It takes Git repository data as input and outputs enriched repository information, streamlining development processes. Utilize go-enriche in contexts where efficient Git management is crucial, such as large-scale software development projects.

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

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

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

## 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-enriche"
    }
  }
}
```

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