LLM-Readable Docs
These docs are built to be read by agents as easily as by people. Every page has a markdown twin, and the whole corpus is published in the formats LLM tooling already looks for — so you can point your agent at ML-Dash and have it answer accurately. The ML-Dash pages are part of the DreamLake docs, so they ship in the same site-wide files.
Fetch a single page
Append .md to any docs URL to get the raw markdown — no nav, no chrome:
Every page also advertises its markdown twin in the HTML head:
The whole site, two ways
/llms.txt— a short, linked index of every page (llmstxt.org standard). The entry point an agent reads first to decide what to fetch. ML-Dash pages are listed alongside the rest of the DreamLake docs./llms-full.txt— every page concatenated into one markdown file. Drop the entire product into a context window in a single request.
Import it as a skill
The docs are also packaged as the dreamlake Agent Skill
— a SKILL.md plus one markdown reference file per page. It covers the whole
DreamLake docs site; the ML-Dash pages are the reference/ml-dash*.md files.
Download it and unpack it wherever you like:
The archive holds a single dreamlake/ folder. Move that folder into the
directory your agent loads skills from, or import it however your agent takes
skills. If it has no skill mechanism, give it access to the whole folder and
point it at ./agent-skills/dreamlake/SKILL.md — reading the markdown is a
fallback rather than an installed skill, and the relative links from SKILL.md
into reference/ only resolve if the rest of the folder comes with it.
Always current. Every surface above — the .md pages, both llms files,
and the skill — is generated from the same source on each deploy, so none of
them can drift from what you read on the site.