> For the complete documentation index, see [llms.txt](https://docs.getlynk.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.getlynk.ai/reference.md). # Reference - [Layout and Naming](https://docs.getlynk.ai/reference/layout-and-naming.md): The .lynk/ directory tree, the rules for naming folders and files, and the settings that control how a project is built. - [Markdown Format](https://docs.getlynk.ai/reference/markdown-format.md): The frontmatter contract shared by every Markdown primitive, the reference grammar (@ injection, markdown links, bare paths), and how supporting files are organized. - [SQL Expressions](https://docs.getlynk.ai/reference/sql-expressions.md): The reference grammar inside schema.yml sql fields — segment-count path resolution, the metric/first/last functions, filters, and join binding. - [What Lynk doesn't do](https://docs.getlynk.ai/reference/what-lynk-does-not-do.md): The boundaries in one place — testing and evaluations, metric parameterization, templating, tags, scheduling, cross-domain queries — what Lynk doesn't do by design, what's planned, and what belongs up --- # 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.getlynk.ai/reference.md?ask=&goal= ``` `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.