# goldenflow

> goldenflow — benseverndev-oss-goldenflow. Use this tool when you need to standardize, reshape, and normalize messy data through a data transformation process. It solves problems related to data inconsistency and irregularities, enabling efficient data analysis and processing. The goldenflow toolkit takes in unstructured or messy data as input and outputs standardized, normalized data.

Canonical page: https://skillsregistry.net/skills/benseverndev-oss-goldenflow  
JSON: https://api.skillsregistry.net/v1/skills/benseverndev-oss-goldenflow

## Description

[Archived] Now part of the Golden Suite monorepo: github.com/benseverndev-oss/goldenmatch (packages/python/goldenflow). Active development, issues, and releases live there. Data transformation toolkit: standardize, reshape, and normalize messy data.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/benseverndev-oss/goldenflow)

## 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": "benseverndev-oss-goldenflow"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/benseverndev-oss-goldenflow` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/benseverndev-oss-goldenflow/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