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Notifications And Toasts

Community
param087
notifications-and-toasts

Use when giving users feedback — toasts (sonner), inline alerts, and a notification center. Covers when to use which, accessible announcements, promise/loading toasts, and not overusing notifications.

Overview

Publisherparam087
Repositorysaas-ui-skills
Skill namenotifications-and-toasts
Stars
3
Forks
0
Bundled files
Instructions only
LicenseMIT
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by param087 on GitHub. Read the source before you install it.

Installation

Install the Notifications And Toasts 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/param087/saas-ui-skills/tree/main/skills/notifications-and-toasts
  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/param087/saas-ui-skills.git /tmp/saas-ui-skills
mkdir -p .claude/skills
cp -r /tmp/saas-ui-skills/skills/notifications-and-toasts .claude/skills/notifications-and-toasts
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Notifications And Toasts 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 Notifications And Toasts 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 Notifications And Toasts 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.

Notifications & Toasts

Overview

Feedback tells users their action worked (or didn't). Pick the right channel for the message's importance and persistence: toasts for transient confirmations, inline alerts for contextual or blocking info, and a notification center for a history of async events. Overusing toasts trains users to ignore them.

When to use

  • Confirming an action (saved, deleted, copied).
  • Surfacing a recoverable error or important context.
  • Async/background events users should be able to review later.

Pick the channel

ChannelForPersistence
Toast (sonner)Transient success/error of a user actionAuto-dismiss (~4s)
Inline AlertContextual, blocking, or persistent infoStays until resolved
Notification centerAsync events, historyUntil read/cleared

Toasts with sonner

tsx
// app root
import { Toaster } from "@/components/ui/sonner";
<Toaster richColors closeButton />

// anywhere
import { toast } from "sonner";
toast.success("Invoice sent");
toast.error("Couldn’t send invoice", { description: "Check the email and try again." });

Promise toast for async work — one call covers loading → success/error:

tsx
toast.promise(saveSettings(values), {
  loading: "Saving…",
  success: "Settings saved",
  error: (e) => e.message ?? "Save failed",
});

Add an undo action instead of a confirm dialog for reversible actions:

tsx
toast("Invoice deleted", { action: { label: "Undo", onClick: () => restore(id) } });

Inline alerts for context

When the message belongs to a place on the page (a failed section, a plan limit), use an Alert, not a toast — it stays visible and doesn't disappear before it's read:

tsx
<Alert variant="destructive">
  <AlertCircle className="h-4 w-4" />
  <AlertTitle>Payment failed</AlertTitle>
  <AlertDescription>Update your card to keep your subscription active.</AlertDescription>
</Alert>

Accessibility

  • Toasts must live in an aria-live region so screen readers announce them — sonner/shadcn do this; don't roll your own silent toast.
  • Use assertive for errors, polite for success.
  • Never convey status by color only — include an icon and text.

Don't over-notify

  • Don't toast on every keystroke or trivial state change.
  • One toast per action; collapse bulk results ("3 invoices sent").
  • Critical/irreversible decisions need a dialog (modals-and-dialogs), not a toast.
  • Errors the user must fix belong inline next to the cause, not in a toast that vanishes.

Pitfalls

  • Toast for everything — noise users learn to ignore.
  • Errors-only-as-toasts that auto-dismiss before being read — use inline Alert.
  • Non-accessible custom toasts with no live region.
  • Color-only status (green/red with no icon/text).
  • No undo for reversible destructive actions — friendlier than a confirm modal.
  • Stacking dozens of toasts — throttle/dedupe.

Hand-off

The feedback layer for forms-and-validation, data-tables bulk actions, and settings-pages; escalate critical decisions to modals-and-dialogs.

Frequently asked questions

What does the Notifications And Toasts AI skill do?

Use when giving users feedback — toasts (sonner), inline alerts, and a notification center. Covers when to use which, accessible announcements, promise/loading toasts, and not overusing notifications.

Why use Notifications And Toasts on TypingMind?

Because you install it once and use it with any model. Notifications And Toasts 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 Notifications And Toasts in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/param087/saas-ui-skills/tree/main/skills/notifications-and-toasts. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Notifications And Toasts?

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 Notifications And Toasts?

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

Is the Notifications And Toasts AI skill free?

Yes. It is published on GitHub by param087 under the MIT 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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