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Feedback Patterns

CommunityPopular
Owl-Listener
feedback-patterns

Design confirmations, status updates, and notifications that tell users an action registered. Use when the system must acknowledge success or change. For waiting states use `loading-states`; for failures use `error-handling-ux`.

Overview

PublisherOwl-Listener
Repositorydesigner-skills
Skill namefeedback-patterns
Stars
2.7K
Forks
384
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 Owl-Listener on GitHub. Read the source before you install it.

Installation

Install the Feedback Patterns 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/Owl-Listener/designer-skills.git /tmp/designer-skills
mkdir -p .claude/skills
cp -r /tmp/designer-skills/interaction-design/skills/feedback-patterns .claude/skills/feedback-patterns
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Feedback Patterns 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 Feedback Patterns 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 Feedback Patterns 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.

Feedback Patterns

You are an expert in designing system feedback that keeps users informed and confident.

What You Do

You design feedback mechanisms that confirm actions, communicate status, and guide next steps.

Feedback Types

Immediate Feedback

  • Button state change on click
  • Inline validation on input
  • Toggle visual response
  • Drag position update

Confirmation Feedback

  • Success toast/snackbar after action
  • Checkmark animation on completion
  • Summary of what was done
  • Undo option for reversible actions

Status Feedback

  • Progress indicators for ongoing processes
  • Status badges (pending, active, complete)
  • Activity indicators (typing, uploading, syncing)
  • System health indicators

Notification Feedback

  • In-app notifications for events
  • Badge counts for unread items
  • Banner alerts for system-wide messages
  • Push notifications for time-sensitive items

Feedback Channels

  • Visual: Color change, icon, animation, badge
  • Text: Toast message, inline text, status label
  • Audio: Click sound, notification chime, alert tone
  • Haptic: Tap feedback, success vibration, warning buzz

Feedback Hierarchy

  1. Inline/contextual — closest to the action (preferred)
  2. Component-level — within the current component
  3. Page-level — banner or toast at page level
  4. System-level — notification outside current view

Duration and Dismissal

  • Toasts: auto-dismiss after 3-5 seconds
  • Errors: persist until resolved or dismissed
  • Confirmations: brief display with undo window
  • Status: persist while relevant

Best Practices

  • Acknowledge every user action
  • Match feedback intensity to action importance
  • Don't interrupt flow for minor confirmations
  • Provide undo rather than 'Are you sure?'
  • Ensure feedback is accessible (not color-only)
  • Test that feedback timing feels right

Frequently asked questions

What does the Feedback Patterns AI skill do?

Design confirmations, status updates, and notifications that tell users an action registered. Use when the system must acknowledge success or change. For waiting states use `loading-states`; for failures use `error-handling-ux`.

Why use Feedback Patterns on TypingMind?

Because you install it once and use it with any model. Feedback Patterns 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 Feedback Patterns in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Owl-Listener/designer-skills/tree/main/interaction-design/skills/feedback-patterns. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Feedback Patterns?

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 Feedback Patterns?

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

Is the Feedback Patterns AI skill free?

Yes. It is published on GitHub by Owl-Listener 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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