# suggest

Learn how to create dynamic suggestions for your rules.

```go
func suggest(match string) []string
```

`suggest` returns an array of suggested replacements for the matched text.

## [script](#script)

```yaml
action:
  name: suggest
  params:
    - scriptName.tengo
```

The `suggest` action allows you to define a custom suggestion script that will be executed for each match. The script should return an array of strings called `suggestions`.

Scripts are written in [Tengo](https://github.com/d5/tengo) and are stored in the `<StylesPath>/config/actions` directory.

Here’s an example script:

```go
text := import("text")

// `match` is provided by Vale and represents the rule's matched text.
made := text.re_replace(`([A-Z]\w+)([A-Z]\w+)`, match, `$1-$2`)

made = text.replace(made, "-", "_", 1)
made = text.to_lower(made)

// `suggestions` is required by Vale and represents the script's output.
suggestions := [made]
```

We would save this script as `CamelToSnake.tengo` and then reference it in our rule:

```yaml
extends: existence
message: "'%s' should be in snake_case."
nonword: true
level: error
action:
  name: suggest
  params:
    - CamelToSnake.tengo
tokens:
  - '[A-Z]\w+[A-Z]\w+'
```

## [spellings](#spellings)

```yaml
action:
  name: suggest
  params:
    - spellings
```

`spellings` returns the top 5 spelling suggestions for the matched text from all active dictionaries.

Suggestions are ordered by calculating the [Levenshtein distance](https://pkg.go.dev/github.com/adrg/strutil@v0.3.0/metrics#Levenshtein) between the matched text and the dictionary words.

[script](/checks/script.md) [replace](/fixes/replace.md)


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.vale.sh/fixes/suggest.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.