> ## Documentation Index
> Fetch the complete documentation index at: https://docs.bensevern.dev/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Transform recipes

> Copy-paste GoldenFlow configs for common jobs: standardize contact data, clean and dedupe, and reshape columns.

The [config matrix](/docs/goldenflow/config-matrix) lists every transform. This page is the task-shaped shortcut. `goldenflow transform your.csv` auto-detects and fixes most things with no config; reach for one of these when you want to pin the exact transforms. Every config below is a complete, valid file (CI validates each against the live schema).

```bash theme={null}
goldenflow transform your.csv --config recipe.yaml
```

## Standardize contact data

**You have** names, phones, and emails in inconsistent formats. **You want** them normalized to a canonical shape.

```yaml theme={null}
transforms:
  - column: phone
    ops: [strip, phone_e164]
  - column: email
    ops: [strip, email_lowercase]
  - column: first_name
    ops: [strip, name_proper]
  - column: last_name
    ops: [strip, name_proper]
```

## Clean, then drop duplicates

**You have** a contact export with formatting noise and repeat rows. **You want** a clean, de-duplicated file in one pass.

Transforms run first, so dedup compares the *normalized* values (two rows that differ only by email casing collapse to one).

```yaml theme={null}
transforms:
  - column: email
    ops: [strip, email_lowercase]
dedup:
  columns: [email]
  keep: first
```

## Reshape for a downstream system

**You have** columns that don't match the target schema. **You want** to rename, drop, and standardize in one config.

```yaml theme={null}
transforms:
  - column: signup_date
    ops: [date_iso8601]
renames:
  email_address: email
  fname: first_name
drop: [internal_id]
```