Ask Sonner logo

Ask Sonner

Community
JaimeJunr
ask-sonner

Guide to Sonner, the React toast library — install and wire up the Toaster, pick the right toast() call, promise and loading toasts, updating, dismissing and persisting toasts, styling, theming and icons, positioning and multiple toasters. Use when working with Sonner or troubleshooting it — toasts that don't appear, appear twice, lose their styles, ignore Tailwind classes, sit behind a modal, or don't follow dark mode.

Overview

PublisherJaimeJunr
Repositoryclaude-code-frontend-skills
Skill nameask-sonner
Stars
3
Forks
1
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

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

Installation

Install the Ask Sonner 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.
    https://github.com/JaimeJunr/claude-code-frontend-skills/tree/main/plugins/emil-design-eng/skills/ask-sonner
  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/JaimeJunr/claude-code-frontend-skills.git /tmp/claude-code-frontend-skills
mkdir -p .claude/skills
cp -r /tmp/claude-code-frontend-skills/plugins/emil-design-eng/skills/ask-sonner .claude/skills/ask-sonner
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ask Sonner 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 Ask Sonner 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 Ask Sonner 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.

Working With Sonner

Initial Response

When this skill is first invoked without a specific question, respond only with:

I'm ready to help you set up, style, and troubleshoot Sonner, my knowledge comes from its author, Emil Kowalski.

Do not provide any other information until the user asks a question.

A guide skill for Sonner, the toast library. When a task involves Sonner — wiring it up, rendering toasts, styling them, or fixing them — answer from this file first. Full prop tables for <Toaster /> and toast() live in API.md; read it when you need an exact prop name, type, or default.

Setup

Two pieces, and only two:

  1. One <Toaster />, mounted once, as close to the root as possible (in Next.js: layout.tsx — it works inside server components). Never render it per-page or conditionally; a second mounted Toaster duplicates every toast.
  2. toast() called from client code — event handlers, effects, callbacks. It's a plain function, no hook or provider needed, but it does nothing on the server: in a server action, return the result and call toast() in the client code that receives it.
jsx
import { Toaster } from 'sonner'; // once, in layout
import { toast } from 'sonner';   // anywhere client-side

Picking the right call

You wantCall
Plain messagetoast('Title') — add { description } for a second line
Success / error / info / warning icontoast.success('…'), toast.error('…'), etc.
Spinner while you manage state yourselftoast.loading('…'), then update it by id
Loading → success/error tied to a promisetoast.promise(promise, { loading, success, error }) — success/error accept functions receiving the resolved value/error
Button that does something{ action: { label, onClick } } — closes the toast unless onClick calls event.preventDefault(); cancel is the secondary variant
Custom JSX, default toast shelltoast(<jsx />)
Custom JSX, no styles at alltoast.custom((t) => <jsx />) — headless, t gives you the id to dismiss

Recipes

Update a toast — call toast() again with the same id; only the props you pass change. Switching to toast.success(…, { id }) changes the type. This is how loading → success flows work without toast.promise:

jsx
const id = toast.loading('Uploading…');
toast.success('Uploaded', { id });

Persist — { duration: Infinity }. Dismiss — toast.dismiss(id), or toast.dismiss() for all. Read active toasts — useSonner() in React, toast.getActiveToasts() outside it.

Links or components in the text — pass a function for the title or description: toast(() => <a href="…">View</a>).

Multiple toasters — give each an id and target with toast('…', { toasterId: 'canvas' }). Without toasterId, every toaster renders the toast.

Close callbacks — onDismiss fires on close button or swipe; onAutoClose fires on timeout. They are separate; there is no single "closed" callback.

Styling — the escalation ladder

Climb only as far as the change requires; jumping to the top rung too early is fine (it's the recommended end state), lingering in the middle is not.

  1. Defaults — plus richColors on the Toaster for colorful success/error, invert to flip against the theme.
  2. Inline tweaks — toastOptions={{ style: {…} }} on the Toaster for all toasts, or style per toast() call.
  3. Classes on parts — toastOptions={{ classNames: { toast, title, description, actionButton, cancelButton, closeButton } }}. Sonner's injected styles win the cascade, so every class needs !important (Tailwind: !text-red-900). If you're marking more than a few things important, stop — go headless.
  4. Headless — toast.custom() with your own JSX, keeping Sonner's positioning, stacking, and swipe. The recommended approach for a design-system toast: wrap it in your own toast() abstraction. (unstyled: true exists as a halfway house, but headless gives more control for the same effort.)

Icons — swap defaults per-type with the Toaster's icons prop, per-toast with icon, remove with null.

Theme — theme defaults to 'light' and does not track the OS. Pass theme="system", or wire your theme provider: <Toaster theme={resolvedTheme} /> from next-themes.

Troubleshooting

SymptomCause → fix
Toast never appearsNo <Toaster /> mounted, or it unmounted (conditional render, per-page placement). Mount one at the root. If calling from a server action: toast() is client-only — call it with the action's result on the client.
Same toast appears twiceTwo Toasters mounted (layout and page) — keep one. Or toast() fired in an effect under React StrictMode's dev double-invoke — fire from the event handler instead, or pass a stable id so the second call updates rather than duplicates.
Tailwind/CSS classes have no effectDefault styles override them. Mark them !important, or use unstyled / headless (see the ladder above).
Toasts render completely unstyled (common in Astro, view transitions)Sonner's injected stylesheet was lost — import it explicitly in a layout: import 'sonner/dist/styles.css'.
Unstyled inside Shadow DOMStyles land in document.head, not the shadow root. Copy the style tag whose text includes [data-sonner-toaster] into the shadow root.
Toast behind a modal/overlay, or clippedAn ancestor creates a stacking context (transform, filter, overflow) or the overlay out-z-indexes the toaster. Move <Toaster /> to the document root, outside any dialog/portal container.
Dark mode ignoredtheme defaults to 'light' — set theme="system" or pass the resolved theme (see Theme above).
Success/error look gray, not green/redThat's the default. Add richColors to the Toaster.
Toast never closesduration: Infinity, dismissible: false, or a toast.promise whose promise never settles — the loading toast waits forever.
toast.promise stuck on loadingIt needs a promise (or a function returning one) as its first argument, and the promise must actually resolve/reject.
Swipe-to-dismiss goes the wrong way / doesn't workDirections derive from position. Override with swipeDirections on the Toaster.
Toast shows up in every toasterMultiple toasters need targeting: give each Toaster an id and pass toasterId in the toast() call.
Toasts too close to the screen edge on mobileoffset (desktop, default 32px) and mobileOffset (<600px, default 16px) — numbers, CSS strings, or per-side objects.

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 Ask Sonner AI skill do?

Guide to Sonner, the React toast library — install and wire up the Toaster, pick the right toast() call, promise and loading toasts, updating, dismissing and persisting toasts, styling, theming and icons, positioning and multiple toasters. Use when working with Sonner or troubleshooting it — toasts that don't appear, appear twice, lose their styles, ignore Tailwind classes, sit behind a modal, or don't follow dark mode.

Why use Ask Sonner on TypingMind?

Because you install it once and use it with any model. Ask Sonner 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 Ask Sonner in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/JaimeJunr/claude-code-frontend-skills/tree/main/plugins/emil-design-eng/skills/ask-sonner. 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 Ask Sonner?

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 Ask Sonner?

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

Is the Ask Sonner AI skill free?

It is published on GitHub by JaimeJunr. Check the repository for licensing terms. 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇