> For the complete documentation index, see [llms.txt](https://docs.umbraco.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.umbraco.com/umbraco-in-ai/agent-skills.md).

# Agent Skills

- [Backoffice Skills](https://docs.umbraco.com/umbraco-in-ai/agent-skills/backoffice-skills.md): AI skills for building Umbraco backoffice extensions. Available for Claude Code, Cursor, GitHub Copilot, Windsurf, and other editors that support the \`SKILL.md\` format.
- [Overview](https://docs.umbraco.com/umbraco-in-ai/agent-skills/backoffice-skills/backoffice-skills.md): A list of all backoffice extension skills organized by category, with composition examples and working blueprints.
- [How It Works](https://docs.umbraco.com/umbraco-in-ai/agent-skills/backoffice-skills/how-it-works.md): How backoffice skills route agents to best practices, documentation, and working examples through progressive discovery.
- [Quickstart](https://docs.umbraco.com/umbraco-in-ai/agent-skills/backoffice-skills/quickstart.md): Get from zero to a working Umbraco backoffice extension using the quickstart skill.
- [Testing Skills](https://docs.umbraco.com/umbraco-in-ai/agent-skills/backoffice-skills/testing-skills.md): The testing pyramid for Umbraco backoffice extensions, with 7 skills covering unit tests, MSW integration, and E2E with Playwright.
- [Tips for Best Results](https://docs.umbraco.com/umbraco-in-ai/agent-skills/backoffice-skills/tips.md): Practical tips for getting better results from AI-assisted Umbraco backoffice development with skills.


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# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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, and the optional `goal` query parameter:

```
GET https://docs.umbraco.com/umbraco-in-ai/agent-skills.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.