# GoldenFlow

> Use this tool when you need to standardize, reshape, and normalize messy data, solving problems of data inconsistency and incompatibility. GoldenFlow takes in unstructured or disparate data as input and outputs transformed, standardized data, enabling seamless integration and analysis. Ideal for data preprocessing and integration tasks, GoldenFlow streamlines data workflows and improves overall data quality.

Canonical page: https://skillsregistry.net/skills/io-github-benzsevern-goldenflow  
JSON: https://api.skillsregistry.net/v1/skills/io-github-benzsevern-goldenflow

## Description

Standardize, reshape, and normalize messy data — CSV, Excel, Parquet, S3, databases.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** scanned
- **Last scanned:** 2026-05-21

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-06-16

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.benzsevern%2Fgoldenflow)
- **Repository:** <https://github.com/benzsevern/goldenflow>

## Use it

MCP endpoint published by the skill: `https://goldenflow-mcp-production.up.railway.app/mcp/`

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": "io-github-benzsevern-goldenflow"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-benzsevern-goldenflow` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-benzsevern-goldenflow/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
