Storeware Docs

llms.txt and skills

The documents an agent reads before it calls anything, the Markdown copy of every page, and the signals a shop states about its content.

llms.txt

llms.txt is Markdown at a fixed path: what a site is, and where the machine-readable parts of it are.

AddressWhat it covers
https://storeware.ai/llms.txtThe platform, for a language model.
https://storeware.ai/docs/llms.txtEvery page of these docs. llms-full.txt is all of them in one file.
https://<shop>/llms.txtOne shop.

A shop's llms.txt is a directory, not a catalogue. It names the shop and what it sells, then lists, in sections:

  • Buying from this shop: the documents an agent uses to buy there, such as its UCP profile, its ACP discovery document, its skills index and its A2A agent card, each listed only when the shop serves it.
  • Collections and Products, as links. A large catalogue is cut short: read the sitemap or a product feed for all of it.
  • The shop's policies.
  • Machine-readable surfaces: the sitemap, the Markdown copy of any page, and the shop's product feeds.

Every page as Markdown

Ask a shop page or a storeware.ai page for Markdown and you get Markdown:

GET https://<shop>/products/linen-apron
Accept: text/markdown

The answer carries the page's title, description and image as frontmatter, and leaves out the header, the footer and the scripts. A shop page also has its structured data appended. The headers say what happened:

HeaderValue
Content-Typetext/markdown; charset=utf-8
VaryIncludes Accept, because one address now has two answers
x-markdown-tokensAbout how many tokens the Markdown is
x-original-tokensAn estimate of the same for the HTML
Content-SignalThe page's content signals, when it states any

text/markdown has to be named in Accept, at least as high as HTML: */* alone gets HTML. Only GET is converted, and a page too large to convert is served as HTML. These docs have Markdown copies too: see Reading these docs as an agent.

Agent skills

An agent skill is a SKILL.md an agent loads to learn how to do one job. Both the platform and each shop publish an index of theirs, as Agent Skills discovery:

IndexLists
https://storeware.ai/.well-known/agent-skills/index.jsonThe platform's skills, starting with build-on-storeware. api.storeware.ai serves the same index.
https://<shop>/.well-known/agent-skills/index.jsonThe shop's own skill, shop-here: how to shop there.

Each entry has a name, a type of skill-md, a description, the url of the document, and a digest: sha256: and the hash of the document's bytes. The document is served exactly as it was hashed, so hash what you download and refuse it if the digest differs. A shop's skill is rebuilt from time to time, so a mismatch right after the index was read is worth one retry.

The shopper MCP server serves the same shop-here skill over MCP: see MCP servers.

Content signals

A content signal says what a site lets its content be used for once it has been fetched: search for a search index, ai-input for an answer written from it, and ai-train for training a model. A signal blocks no fetch.

storeware.ai says search=yes, ai-input=yes, ai-train=yes, in its robots.txt and as a Content-Signal header on its Markdown copies. A shop says the same unless its merchant has stated otherwise, and its robots.txt repeats the shop's rules under each AI crawler's name as well as under *, so a reader asking what the shop says to AI finds the answer under its own name.

On the AI shoppers screen a merchant can turn off the Markdown copies, llms.txt and the shop's skill, and a shop with one turned off stops offering it.

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