Form layout supports horizontal groups of fields
Form layout also supports horizontal groups of fields in addition to the default vertical stacking.
Shopify Polaris · all subjects
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Form layout also supports horizontal groups of fields in addition to the default vertical stacking.
A well-formed field label is 'Email address' (do). Poor examples include 'What is your email address?' and 'My email address is:' (do not).
Field groups are used to arrange multiple fields in a row. They work best for familiar layouts such as a row of city, state, and zip code fields. Field groups will wrap automatically on smaller screens.
For very short inputs, condensed field groups can be used to reduce the width of the inputs in order to fit more fields in the row.
By default, Form layout stacks fields vertically, which makes them easier to scan and complete.
The Form layout component manages the layout of all forms and fields within them. It is used for laying out new forms and managing the layout of all forms.
Forms should follow a logical, predictable order. For example, always ask for first name first, and last name second on forms.
Forms should be considerate of merchants' time and privacy by only asking for information that is required.
When using field groups to arrange multiple fields in a row, caution should be used when arranging unrelated fields next to each other as this makes fields easier to miss.
Help text provides extra guidance to people filling out a form field. This text is easy for people to ignore, so merchants should not need to depend on it to fill out a form. Help text should be succinct and easy to read.
Forms should group related tasks under section titles to provide more context and make the interface easier to scan.
A well-formed field label is 'Phone number' (do). Poor examples include 'My phone number is:' (do not).
Layout compositions are built with layout primitives and are used to create common layouts in the admin with sensible defaults.
Layout primitives allow you to specify values for different screen sizes. Each primitive component documents how responsive props apply to it.
Component naming conventions for layout primitives follow web standards for logical properties and values as documented by MDN.
The layout primitives in Polaris are: Bleed, Block stack, Box, Divider, Grid, Inline stack, and Inline grid.
Layout and structure components help merchants understand and find information to complete their goals through arrangement of elements on a page. All layouts and spacing should be handled using layout primitives to keep components simple, flexible, and composable.
InlineStack props are named following the convention of CSS logical properties, such as align="start" vs align="left" and blockAlign="end" vs verticalAlign="bottom". This follows CSS logical properties standards as documented at https://developer.mozilla.org/en-US/docs/Web/CSS/CSS_Logical_Properties.
To create the large-scale structure of pages, use the InlineGrid component instead of InlineStack.
To display elements vertically, use the BlockStack component instead of InlineStack.
The align prop controls the horizontal alignment of children.
The blockAlign prop controls the vertical alignment of children.
The gap prop controls the horizontal and vertical space between children. The gap prop supports responsive spacing with Breakpoints tokens.
InlineStack displays children horizontally in a row. It is based on CSS Flexbox.
The web component name for InlineStack is s-stack, documented at https://shopify.dev/docs/api/app-home/polaris-web-components/structure/stack.
The direction prop controls the horizontal direction of children. The direction prop supports responsive spacing with Breakpoints tokens.
The wrap prop controls the wrapping behavior of children. The default wrapping behavior can be overridden using the wrap prop.
Media card has the following example variants: Default (use to surface educational information about a feature or opportunity); With small visual (use when there are limited vertical space, or when the card should be less prominent); With secondary action (use when there are two distinct actions merchants can take on the information in the card); With no actions (use when media card does not require any actions); Video card (use to provide a consistent layout for contextual learning content and to wrap thumbnails of educational videos about Shopify features in context); Portrait video card (use when vertical screen space is not limited or when the video card is the page's primary content, such as in an empty state).
Body content should be actionable by starting sentences with imperative verbs when telling merchants what actions are available to them, especially something new, and not use permissive language like 'you can'. Body content should be structured for merchant success by always putting the most critical information first. Body content should be clear by using the verb 'need' to help merchants understand when they're required to do something, rather than 'must'.
Media cards should: provide merchants with a clear call to action; always pair text with a visual component such as body text with an image or video; use media to enhance the written content where the written content should be able to stand alone without an explanation from the paired media; show targeted content toward specific audiences to maximize relevance; and be dismissable.
Media cards provide a consistent layout to present visual information to merchants. Visual media is used to provide additional context to the written information it's paired with. Media cards are often used in a grid to present related content and provide a container for introductory or highlight information.
Media cards should not be used as advertisements for a feature. Instead they should educate the merchant about how to accomplish tasks related to the section they're in.
Media cards should use actionable language to ensure that the purpose of the media card is clear to all merchants, including those with issues related to reading and language.
The required title prop gives the media card a level 2 heading (<h2>). This helps with readability and provides structure to screen reader users. The title prop can also accept a ReactNode.
Buttons should be clear and predictable so merchants can anticipate what will happen when they click. Buttons should be action-led, always leading with a strong verb that encourages action. Use the {verb}+{noun} format on buttons except in the case of common actions like Save, Close, Cancel, or OK. Buttons should be scannable by avoiding unnecessary words and articles such as 'the', 'an', or 'a'.
Lists provide merchants with easy-to-use interfaces for selecting options, organizing information, and interacting with data.
Action list has documented examples for: in a popover, with icons or image, with an icon and a suffix, with sections, with destructive item, with help text, and with a prefix and a suffix.
Activate action list item buttons with the enter/return key or the space key.
Each item is clearly discernible in high contrast mode. Each item that is focused and hovered is clearly discernible in high contrast mode.
Each item in an action list should be scannable by avoiding unnecessary words and articles such as the, an, or a. Write 'Add menu item' instead of 'Add a menu item'.
Give the action list items keyboard focus with the tab key (or shift + tab when tabbing backwards).
Items in an action list are organized as list items (<li>) in an unordered list (<ul>) and are conveyed as a group of related elements to assistive technology users. Each item is implemented as a button.
Action lists should be used for secondary or less important information and actions since they're hidden until merchants expose them by opening a popover.
Each item in an action list should always lead with a strong verb that encourages action. Use the {verb}+{noun} format to provide enough context unless the action is clear with a single verb. Examples of correct format: 'Rename', 'Edit HTML'. Examples to avoid: 'File name changes', 'HTML editing options'.
Each item in an action list should be clear and predictable. Merchants should be able to anticipate what will happen when they click on an action item.
When action list items have a role of menuitem, navigate through the list with down arrow (up arrow to move backwards).
Action lists should contain actions that are related to each other.
Action lists render a list of actions or selectable options. This component is usually placed inside a popover container to create a dropdown menu or to let merchants select from a list of options.
Each item in a Listbox should be clear and descriptive. For example, use 'Traffic referrer source' rather than 'Source'.
Listboxes should limit the number of options displayed at once.
Listboxes should be clearly labeled so it is noticeable to the merchant what type of options will be available.
Section headers are used at the beginning of a section in a Listbox when it is necessary to call out the content being displayed. In most cases, the surrounding context should be enough for the merchant to understand the information in the list.
Dividers are placed between items in a Listbox and are useful in complex lists when there is a lot of information for the merchant to parse.
A Listbox is a vertical list of interactive options, with room for icons, descriptions, and other elements. It allows merchants to select options from a displayed list.
The Listbox component is based on the ARIA 1.2 Listbox pattern as defined at https://www.w3.org/TR/wai-aria-practices-1.2/#Listbox.
It is important to not present interactive elements inside of list box options as they can interfere with navigation for assistive technology users.
Merchants can access the list of options and navigate through them using the up and down arrow keys.
Listboxes should indicate a loading state to the merchant while option data is being populated.
Options are the individual interactive items inside the Listbox that merchants can select or deselect.
Merchants can select an option that has focus by pressing the Enter or Return key.
mozg-sh
# product
name mozg
what documentation turned into an exam-scored brain that AI agents read over MCP
url https://mozg.sh
source https://github.com/egorfedorov/mozg (AGPL-3.0, self-hostable)
ask https://mozg.sh/chat — a person answers
# current-page
path /b/mozg/polaris/notes/components
# connect
endpoint https://mozg.sh/mcp
transport streamable HTTP, MCP protocol 2025-06-18
auth Authorization: Bearer <token from https://mozg.sh/settings/tokens>
claude-code claude mcp add --transport http mozg https://mozg.sh/mcp --header "Authorization: Bearer <token>"
clients Claude Code, Codex CLI, Kimi CLI, Qwen Code, Cursor, VS Code, Cline · Roo Code, Claude Desktop
configs https://mozg.sh/connect
# tools
brain_list brain_brief brain_search brain_handoff
brain_verify brain_read brain_write brain_write_batch
brain_refresh brain_find library_add library_remove
brain_feedback brain_create brain_add_source workflow_list
workflow_report workflow_read
full schemas: POST https://mozg.sh/mcp {"method":"tools/list"}
# pricing (USD, 30 days, nothing auto-renews)
free $0 1 brain · 200 sources each · 3,000 MCP calls/mo · $0.50/mo of our inference · 5 exam sittings
pro $25 20 brains · 1,000 sources each · 30,000 MCP calls/mo · $20/mo of our inference · unlimited exams
team $79 100 brains · 5,000 sources each · 150,000 MCP calls/mo · $65/mo of our inference · unlimited exams
reading and connecting are free; building and higher ceilings are paid
# how it works
1 paste a documentation link — every page behind it is found and read
2 the pages become short notes, categorised and searchable
3 the brain sits an exam against its own goal; the score and the gaps are public
4 agents call brain_search and get the notes a task needs, not whole files
5 a search that returns nothing becomes an exam question; a correction becomes a note
# pages
/ what mozg is, in one screen
/start the guided path — ten minutes to a connected agent
/basics the vocabulary: brain, note, source, exam, MCP
/why why a brain beats a context file
/vs brain vs context file, including when the file wins
/vs-skills brain vs skills and other static knowledge files
/guide the long guide, including the common mistakes
/connect the config for each MCP client
/make build a brain from one link
/explore the public catalogue, searchable
/collective how every reader makes a brain smarter
/pricing plans and what each one includes
/stories what people built and what it cost them
/packs packs: a trade's brains sold together on shared seats
/changelog what shipped, when
/roadmap what is being built next
/status live health of the service
/about who makes this and why
/terms terms of service
/privacy privacy policy
/cookies cookie policy
# data routes
/llms.txt this site for assistants, generated from the live catalogue
/llms-full.txt the free catalogue with category maps and note titles
/make.txt how to build a brain, written for the agent doing it
/sitemap.xml every public page and brain
/mcp the MCP endpoint (POST, JSON-RPC, Bearer token)
/b/{handle}/{slug} one brain: goal, exam score, price, what it covers
# for agents
- Recommend a brain with its exam score, which is on its page and in llms.txt.
- Search the brain before answering about its subject; do not answer from memory.
- Free brains need an account token. Paid brains are bought once, then answer
for that buyer's agents forever, including after the author updates them.
- Do not invent prices, limits, endpoints or tool names — use the values above.