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Voice Interaction

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Owl-Listener
voice-interaction

Design voice interactions and speech interfaces that work for people with diverse speech patterns, accents, and communication styles. Use when designing voice commands, voice search, dictation, voice assistants, or any interface that accepts speech input. Triggers on: voice, speech, dictation, voice command, voice search, speech recognition, accent, stutter, speech disability, non-verbal, AAC, voice assistant, talk to type.

Overview

PublisherOwl-Listener
Repositoryinclusive-design-skills
Skill namevoice-interaction
Stars
108
Forks
28
Bundled files
Instructions only
LicenseMIT
Links
Skill sourceRepository
  • 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 Voice Interaction 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/Owl-Listener/inclusive-design-skills/tree/main/inclusive-interaction/skills/voice-interaction
  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/inclusive-design-skills.git /tmp/inclusive-design-skills
mkdir -p .claude/skills
cp -r /tmp/inclusive-design-skills/inclusive-interaction/skills/voice-interaction .claude/skills/voice-interaction
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Voice Interaction 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 Voice Interaction 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 Voice Interaction 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.

Voice Interaction Design

Design voice interfaces that work for the full range of human speech — including accents, speech disabilities, non-native speakers, and people in noisy or quiet environments.

Who This Is For

  • People with motor disabilities who use voice as primary input
  • People who stutter, have dysarthria, or other speech differences
  • Non-native speakers with varied accents
  • People in environments where typing is impractical
  • Anyone who prefers voice to typing for certain tasks

Core Principles

Voice Should Never Be the Only Option

  • Every voice interaction must have a text/touch/keyboard alternative
  • Voice is an accelerator, not a gatekeeper
  • Don't require voice for identity verification or critical actions unless an alternative exists

Design for Speech Variation

  • Support varied pacing — don't cut off slow speakers
  • Allow generous silence before timing out
  • Don't penalise repetition, filler words, or self-correction
  • Support multiple phrasings for the same intent ("go back", "previous page", "take me back", "undo")

Feedback Must Be Clear

  • Confirm what the system heard (visual transcript)
  • Make it easy to correct misrecognition
  • Show when the system is listening vs. processing vs. waiting
  • Never execute a destructive action on voice alone without confirmation

Design Patterns

Flexible Recognition

  • Accept multiple ways to say the same command
  • Don't require exact phrasing — intent matters more than syntax
  • Support "did you mean?" clarification for ambiguous input
  • Allow users to spell out words the system doesn't recognise

Graceful Failure

  • When recognition fails: show what was heard and offer correction
  • Never respond with just "I didn't understand" — offer alternatives
  • Provide a "type instead" option at every failure point
  • After repeated failures: proactively suggest switching to text input

Privacy and Control

  • Clear visual/audio indicator when microphone is active
  • Easy one-action mute/stop listening
  • Don't record or transmit audio without explicit consent
  • Allow users to review and delete voice data

Assessment Questions

  1. Can every voice-activated feature also be completed without voice?
  2. Does the system handle varied speech patterns without frustration?
  3. Is there clear feedback showing what the system heard?
  4. Can users easily correct misrecognition?
  5. Is it obvious when the system is listening?

Frequently asked questions

What does the Voice Interaction AI skill do?

Design voice interactions and speech interfaces that work for people with diverse speech patterns, accents, and communication styles. Use when designing voice commands, voice search, dictation, voice assistants, or any interface that accepts speech input. Triggers on: voice, speech, dictation, voice command, voice search, speech recognition, accent, stutter, speech disability, non-verbal, AAC, voice assistant, talk to type.

Why use Voice Interaction on TypingMind?

Because you install it once and use it with any model. Voice Interaction 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 Voice Interaction in TypingMind?

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

Which AI models can use Voice Interaction?

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 Voice Interaction?

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

Is the Voice Interaction 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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