Prefab Ui logo

Prefab Ui

Organization
PrefectHQ
prefab-ui

Build interactive UIs with the Prefab component library. Covers PrefabApp, layout (Grid, Row, Card), actions, expressions, and all component imports. Use when building Prefab UI apps, MCP apps with Prefab, FastMCP apps, or generative UIs.

Overview

PublisherPrefectHQ
Repositoryprefab
Skill nameprefab-ui
Stars
693
Forks
70
Bundled files
3
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by PrefectHQ on GitHub. Read the source before you install it.

Installation

Install the Prefab Ui AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/PrefectHQ/prefab.git /tmp/prefab
mkdir -p .claude/skills
cp -r /tmp/prefab/skills/prefab-ui .claude/skills/prefab-ui
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Prefab Ui in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Prefab Ui on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Prefab Ui is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Prefab UI

Prefab is a Python DSL for building interactive React UIs. You compose components using context managers, wire up actions as Pydantic models, and wrap everything in a PrefabApp.

This skill covers patterns and layout. For component-specific API details (props, variants, examples), use the component search tool with detail=True.

Core Pattern

python
from prefab_ui.app import PrefabApp
from prefab_ui.components import Column, Heading, Input, Button, Badge
from prefab_ui.components.control_flow import If
from prefab_ui.actions import ShowToast
from prefab_ui.actions.mcp import CallTool

with PrefabApp(state={"query": "", "results": []}) as app:
    with Column(gap=4):
        Heading("User Search")
        Input(name="query", placeholder="Search...")
        Button(
            "Search",
            on_click=CallTool(
                "search_users",
                arguments={"q": "{{ query }}"},
                result_key="results",
                on_error=ShowToast("{{ $error }}", variant="error"),
            ),
        )
        with If("results.length > 0"):
            Badge("{{ results.length }} found", variant="success")
  1. PrefabApp is the outermost context manager — children auto-append
  2. Container components (Column, Card, etc.) use with blocks
  3. state= takes a plain dict of initial client-side state
  4. {{ key }} templates resolve against state at render time
  5. Actions like CallTool call server tools; result_key writes results into state

Always pass state as a plain dict: PrefabApp(state={"count": 0}).

Imports

python
from prefab_ui.app import PrefabApp

# Components — import what you need
from prefab_ui.components import (
    # Layout
    Column, Row, Grid, GridItem, Container,
    Dashboard, DashboardItem, Div, Span,
    # Typography
    Heading, Text, H1, H2, H3, H4, P, Lead, Large, Small, Muted,
    BlockQuote, Label, Link, Markdown, Code,
    # Cards
    Card, CardHeader, CardTitle, CardDescription, CardContent, CardFooter,
    # Data display
    DataTable, DataTableColumn, Metric, Badge, Dot,
    Ring, Progress, Separator, Loader, Icon,
    Table, TableHeader, TableBody, TableRow, TableHead, TableCell,
    # Form controls
    Form, Field, Input, Textarea, Button, ButtonGroup,
    Select, SelectOption, Checkbox, Switch, Slider,
    Radio, RadioGroup, DatePicker, Calendar,
    Combobox, ComboboxOption, ChoiceCard,
    # Interactive
    Tabs, Tab, Accordion, AccordionItem,
    Dialog, Popover, Tooltip, HoverCard, Pages, Page,
    # Media
    Image, Audio, Video, Embed, Svg, DropZone,
)
from prefab_ui.components.charts import (
    BarChart, LineChart, AreaChart, PieChart,
    RadarChart, RadialChart, ScatterChart, Sparkline,
    ChartSeries,
)
from prefab_ui.components.control_flow import ForEach, If, Elif, Else

# Actions
from prefab_ui.actions import SetState, ToggleState, ShowToast, OpenLink
from prefab_ui.actions.mcp import CallTool, SendMessage, UpdateContext

Never import from prefab_ui directly except PrefabApp via prefab_ui.app. Spinner does not exist — use Loader. ChartSeries is in prefab_ui.components.charts, not prefab_ui.components.

Layout

Grid vs Row

Use Grid for card layouts and anything that needs equal or proportional columns. Use Row for inline elements (badges, icon + text, buttons):

python
# Equal-width cards — Grid handles sizing automatically
with Grid(columns=3, gap=4):
    with Card(css_class="p-6"):
        Metric(label="Revenue", value="$1.2M")
    with Card(css_class="p-6"):
        Metric(label="Users", value="4,821")
    with Card(css_class="p-6"):
        Metric(label="Uptime", value="99.9%")

# Proportional widths (2:1 ratio)
with Grid(columns=[2, 1], gap=4):
    with Card():
        with CardContent():
            LineChart(...)
    with Card():
        with CardContent():
            Text("Summary")

# Row for inline elements only
with Row(gap=2, align="center"):
    Icon("circle-check")
    Text("Completed")
    Badge("3 items")

Card Patterns

Two patterns — don't mix them in a single Card:

python
# Structured: sub-components have built-in padding
with Card():
    with CardHeader():
        CardTitle("Settings")
        CardDescription("Manage your preferences")
    with CardContent():
        Input(name="name")
    with CardFooter():
        Button("Save")

# Simple: direct children, add padding yourself
with Card(css_class="p-6"):
    Metric(label="Total", value="{{ total }}")

Tabs

Content goes inside each Tab — Tab is a container, not just a header:

python
with Tabs(default_value="overview"):
    with Tab("Overview", value="overview"):
        with Card():
            with CardContent():
                Text("overview content")
    with Tab("Settings", value="settings"):
        Text("settings content")

Metric

python
Metric(label="Revenue", value="$1.2M", delta="+12%", trend="up",
       trend_sentiment="positive", description="vs last month")

delta= is the change text. trend= is "up"/"down"/"neutral" (sets the arrow icon). trend_sentiment= is "positive"/"negative"/"neutral" (sets the color).

DataTable

rows= (not data=), columns use key= and header= (not label=):

python
DataTable(
    columns=[
        DataTableColumn(key="name", header="Name", sortable=True),
        DataTableColumn(key="email", header="Email"),
    ],
    rows=users,  # list of dicts, or "{{ state_key }}"
    search=True,
    search_placeholder="Search contacts...",
    paginated=True,
)

Use search_placeholder= to customize the search input text.

on_row_click= actions fire when the row is clicked and receive the clicked row as $event. Access row fields through $event, for example {{ $event.email }} or EVENT.email.

Layout Props

Column, Row, Grid accept gap, align, justify as native props:

python
Column(gap=4)                        # gap-4
Row(gap=2, justify="between")        # gap-2 justify-between
Grid(columns=3, gap=4)               # grid-cols-3 gap-4

Use css_class for anything beyond these: Column(css_class="max-w-2xl mx-auto").

For app-level styling, use PrefabApp(css=[...]) for inline CSS strings and PrefabApp(stylesheets=[...]) only for external CSS URLs. Stylesheet URLs are loaded as <link> tags and may affect CSP; inline CSS is loaded as <style>.

Carousel

Carousel cycles through children. Each direct child becomes one slide. Three modes through configuration:

python
# Interactive carousel — arrows, dots, swipe
with Carousel(show_dots=True):
    Card(...)
    Card(...)

# Peek — show partial adjacent slides (1.3 = 1 full + 30% of next)
with Carousel(visible=1.3, align="center", dim_inactive=True):
    Card(...)

# Multiple visible slides
with Carousel(visible=3, gap=16):
    Card(...)

# Auto-advancing reel
with Carousel(auto_advance=3000, show_controls=False):
    Card(...)

# Vertical reel
with Carousel(direction="down", visible=3, gap=16, auto_advance=2000, show_controls=False):
    Div(style={"height": "160px"})

# Marquee — continuous smooth scroll
with Carousel(continuous=True, speed=3, show_controls=False):
    Badge("A")
    Badge("B")

# Fade transition
with Carousel(effect="fade", auto_advance=2000, show_controls=False):
    Card(...)

Key props: visible (int/float/None), gap, direction (left/right/up/down), auto_advance (ms), continuous, speed (1-10), effect (slide/fade), dim_inactive, show_controls, controls_position (overlay/outside/gutter), show_dots, align (start/center/end), loop.

Actions

Actions are Pydantic models. All support on_success and on_error:

python
# Client-side (instant)
SetState("count", "{{ count + 1 }}")
ToggleState("showAdvanced")
ShowToast("Done!", variant="success")
OpenLink("https://example.com")

# MCP round-trip
CallTool("search", arguments={"q": "{{ query }}"}, result_key="results")
SendMessage("Summarize {{ item }}")
UpdateContext(content="User selected {{ item }}")

# Chaining — | composes actions into a sequential list
Button(
    "Save",
    on_click=SetState("loading", True)
    | CallTool("save", result_key="saved")
    | SetState("loading", False),
)

# Explicit lists remain supported
Button("Reset", on_click=[SetState("count", 0), ShowToast("Reset")])

on_mount

Every component (and PrefabApp) supports on_mount — actions that fire when the component mounts. Useful for initializing data, starting polling, or running setup logic:

python
# Poll a server tool every 3 seconds when the app loads
PrefabApp(
    view=dashboard_view,
    on_mount=SetInterval(
        duration=3000,
        on_tick=CallTool("refresh", on_success=SetState("stats", RESULT)),
    ),
)

# Load data when a conditional section becomes visible
with Condition("{{ showDetails }}"):
    Column(
        on_mount=CallTool("load_details", on_success=SetState("details", RESULT)),
        children=[Text("{{ details }}")],
    )

Expressions

String props support {{ expression }} templates:

python
Text("Hello, {{ user.name }}!")
Text("{{ items.length }} items ({{ total | currency }})")
Button("{{ loading ? 'Loading...' : 'Submit' }}")

Supports dot paths, arithmetic (+ - * /), comparisons (== != > <), logical (&& || !), ternary (? :), and pipes (| upper, | currency, | length, | truncate:50, etc.).

Special variables: $event (triggering value in onChange/onClick), $error (error message in onError), $index and $item (in ForEach).

Naming Convention

Python uses snake_case; wire protocol uses camelCase. Mapping is automatic: on_clickonClick, css_classcssClass, etc.

Positional Arguments

Most components accept their primary field positionally:

python
Button("Click me")           # label
Text("Hello")                # content
Heading("Title", level=2)    # content, level
Tab("General")               # title
ForEach("users")             # key
CallTool("search")           # tool
SetState("count", 42)        # key, value
ShowToast("Saved!")          # message

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Prefab Ui AI skill do?

Build interactive UIs with the Prefab component library. Covers PrefabApp, layout (Grid, Row, Card), actions, expressions, and all component imports. Use when building Prefab UI apps, MCP apps with Prefab, FastMCP apps, or generative UIs.

Why use Prefab Ui on TypingMind?

Because you install it once and use it with any model. Prefab Ui is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Prefab Ui in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/PrefectHQ/prefab/tree/main/skills/prefab-ui. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Prefab Ui?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Prefab Ui?

As many as you like. As long as a model supports skills, you can use Prefab Ui with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Prefab Ui AI skill free?

Yes. It is published on GitHub by PrefectHQ under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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