# Adapt Examples

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If you are looking to use Adapt in a Mycroft Skill, please see [Skill Development > Intents](/docs/skill-development/user-interaction/intents.md)
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## Single intent Parser

[See the Single Intent Parser code on GitHub](https://github.com/MycroftAI/adapt/blob/master/examples/single_intent_parser.py)

This sample **Intent Parser** uses a fixed vocabulary to extract entities for an **Intent**. This type of intent parser is useful when the parameters of the **Intent** are well-bounded; that is, the possible **Utterances** are well known.

## Multi-intent Parser

[See the Multi-intent Parser code on GitHub](https://github.com/MycroftAI/adapt/blob/master/examples/multi_intent_parser.py)

This sample **Intent Parser** uses multiple **Intents**, and disambiguates between them using intent confidence. For example, if one **Intent** has a higher confidence than the second, the **Intent Parser** will assume the first **Intent**.

## Regular Expression (regex) Intent Parser

[See the Regex Intent Parser code on GitHub](https://github.com/MycroftAI/adapt/blob/master/examples/regex_intent_parser.py)

This sample **Intent Parser** uses a regular expression entity to extract location from a query. This type of **Intent Parser** is useful where a parameter needs to be extracted from a query and it takes a form that can be expressed in regex. Other parameters that are often expressed in regex are IP address, names of people and colors.

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# 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://mycroft-ai.gitbook.io/docs/mycroft-technologies/adapt/adapt-examples.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.