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

# The built-in library

Every studio starts with a curated set of skills we build and keep up to date. You don't install them — they're already there the moment your data is connected.

## What ships today

* **Studio Ignition** — the full, staged diagnostic that works up your studio in order: what's true first, what to do about it second. This is the one to run first. See [Run your first diagnostic](/get-started/first-diagnostic.md).
* **At-Risk Members** — finds members whose attendance has quietly slipped and ranks who's worth a personal check-in this week.
* **Retention Cohorts** — tracks how groups of members (for example, everyone who joined in a given month, or a particular plan type) stay with you over time.
* **Eval Runner** — a behind-the-scenes skill that checks the quality of skills against known examples. Most owners never touch it directly; it's what keeps the others honest.

We add to and improve this library over time — improvements arrive automatically, no action needed from you.

## How to run one

Just ask your AI assistant for it in plain English:

> *"Run the at-risk members skill for the last 30 days and draft outreach for the top five."*

> *"Show me retention cohorts by join month for the last year."*

You can also pick a skill from the list of ready prompts your assistant shows. Either way, answer any questions it asks along the way, and read what comes back.

## Make them yours

If you find yourself tweaking a built-in skill the same way every time — a particular time window, your own definition of "at risk", your studio's language — you can save *your* version. See [Build your own & share with your team](/skills/build-your-own.md).


---

# 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:

```
GET https://docs.kula.digital/skills/library.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.