Agent skill

Voice Agents

by sickn33 in sickn33/agentic-awesome-skills

Voice agents represent the frontier of AI interaction - humans speaking naturally with AI systems.

MITAuto-check passedAI & LLM Engineering

Install Voice Agents

skills CLI

$ npx skills add sickn33/agentic-awesome-skills --skill voice-agents -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install sickn33/agentic-awesome-skills voice-agents --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/voice-agents .claude/skills/voice-agents && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "voice-agents" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/voice-agents into .claude/skills/voice-agents/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "voice-agents", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/voice-agents

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add sickn33/agentic-awesome-skills --skill voice-agents -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install sickn33/agentic-awesome-skills voice-agents --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/voice-agents .agents/skills/voice-agents && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "voice-agents" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/voice-agents into .agents/skills/voice-agents/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "voice-agents", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add sickn33/agentic-awesome-skills --skill voice-agents -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install sickn33/agentic-awesome-skills voice-agents --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/voice-agents .cursor/skills/voice-agents && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "voice-agents" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/voice-agents into .cursor/skills/voice-agents/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "voice-agents", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/sickn33/agentic-awesome-skills.git --path skills/voice-agents

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add sickn33/agentic-awesome-skills --skill voice-agents -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install sickn33/agentic-awesome-skills voice-agents --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/voice-agents .gemini/skills/voice-agents && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "voice-agents" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/voice-agents into .gemini/skills/voice-agents/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "voice-agents", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install sickn33/agentic-awesome-skills voice-agents

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add sickn33/agentic-awesome-skills --skill voice-agents -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/voice-agents .github/skills/voice-agents && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "voice-agents" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/voice-agents into .github/skills/voice-agents/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "voice-agents", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add sickn33/agentic-awesome-skills --skill voice-agents -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install sickn33/agentic-awesome-skills voice-agents --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/voice-agents .opencode/skills/voice-agents && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "voice-agents" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/voice-agents into .opencode/skills/voice-agents/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "voice-agents", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: voice-agents
GitHub stars: 47k
Used in: 2 other repos
Token cost: ~1k tokens
SKILL.md length: 442 words
Files: 2 (incl. references)
Skills in repo: 1,493
Repo updated: Oct 9, 2026
First seen: Oct 9, 2026
Licence: MIT

At a glance

Voice agents represent the frontier of AI interaction - humans speaking naturally with AI systems.

Works in 3 steps: Energy-based: Simple, fast,… → Model-based: Silero VAD, more accurate → Semantic VAD: Understands meaning, best…
Tasks that involve Speech recognition and synthesis
SKILL.md covers Detailed Guide, Production Pipeline Example, When to Use and Limitations
Needs DEEPGRAM_API_KEY

What it does

Voice Agents is an agent skill from sickn33/agentic-awesome-skills. Voice agents represent the frontier of AI interaction - humans speaking naturally with AI systems.

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/detailed-guide.md`).

It sits in AI & LLM Engineering, covering Speech recognition and synthesis. It works with OpenAI and Deepgram. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.

When your agent uses it

Tasks that involve Speech recognition and synthesis

Example prompts

“/voice-agents”

Requirements

A credential in DEEPGRAM_API_KEY

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

Energy-based: Simple, fast, noise-sensitive
Model-based: Silero VAD, more accurate
Semantic VAD: Understands meaning, best for conversation

What it can do on your machine

Read from SKILL.md and the folder at commit 680176d. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
- DEEPGRAM_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Voice Agents loads about 1k tokens when it runs, and up to ~6.7k if it reads all its reference files. Until then it costs about 28 tokens; SKILL.md has 442 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~28
When it runs · the whole SKILL.md, loaded when a task matches: ~1k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~6.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from sickn33/agentic-awesome-skills at commit 680176d, republished under its MIT licence (© sickn33). 442 words, ~1,044 tokens.

Download SKILL.mdSave it as .claude/skills/voice-agents/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.

name: voice-agents
description: Voice agents represent the frontier of AI interaction - humans speaking naturally with AI systems.
risk: safe
source: vibeship-spawner-skills (Apache 2.0)
date_added: 2026-02-27

Voice Agents

Voice agents represent the frontier of AI interaction - humans speaking naturally with AI systems. The challenge isn't just speech recognition and synthesis, it's achieving natural conversation flow with sub-800ms latency while handling interruptions, background noise, and emotional nuance.

This skill covers two architectures: speech-to-speech (OpenAI Realtime API, lowest latency, most natural) and pipeline (STT→LLM→TTS, more control, easier to debug). Key insight: latency is the constraint. Humans expect responses in 500ms. Every millisecond matters.

84% of organizations are increasing voice AI budgets in 2025. This is the year voice agents go mainstream.

Detailed Guide

Read the detailed guide before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely.

Production Pipeline Example

""" import { Deepgram } from '@deepgram/sdk'; import { ElevenLabsClient } from 'elevenlabs'; import OpenAI from 'openai';

// Initialize clients const deepgram = new Deepgram(process.env.DEEPGRAM_API_KEY); const elevenlabs = new ElevenLabsClient(); const openai = new OpenAI();

async function processVoiceInput(audioStream) { // 1. Speech-to-Text (Deepgram Nova-3) const transcription = await deepgram.transcription.live({ model: 'nova-3', punctuate: true, endpointing: 300, // ms of silence before end });

transcription.on('transcript', async (data) => { if (data.is_final && data.speech_final) { const userText = data.channel.alternatives[0].transcript; console.log('User:', userText);

  // 2. LLM Processing
  const completion = await openai.chat.completions.create({
    model: 'gpt-4o-mini',
    messages: [
      { role: 'system', content: 'You are a concise voice assistant.' },
      { role: 'user', content: userText }
    ],
    max_tokens: 150,  // Keep responses short for voice
  });

  const agentText = completion.choices[0].message.content;
  console.log('Agent:', agentText);

  // 3. Text-to-Speech (ElevenLabs)
  const audioStream = await elevenlabs.textToSpeech.stream({
    voice_id: 'voice_id_here',
    text: agentText,
    model_id: 'eleven_flash_v2_5',  // Lowest latency
  });

  // Stream to user
  playAudioStream(audioStream);
}

});

// Pipe audio to transcription audioStream.pipe(transcription); } """

Optimization Tips:

Start TTS while LLM still generating (streaming)
Pre-compute first response segment during user speech
Use Flash/turbo models for latency

Voice Activity Detection Pattern

Detect when user starts/stops speaking

When to use: All voice agents need VAD for turn-taking

Show full SKILL.md (147 more words)Show less

VOICE ACTIVITY DETECTION (VAD):

""" VAD Types:

Energy-based: Simple, fast, noise-sensitive
Model-based: Silero VAD, more accurate
Semantic VAD: Understands meaning, best for conversation """

When to Use

User mentions or implies: voice agent
User mentions or implies: speech to text
User mentions or implies: text to speech
User mentions or implies: whisper
User mentions or implies: elevenlabs
User mentions or implies: deepgram
User mentions or implies: realtime api
User mentions or implies: voice assistant
User mentions or implies: voice ai
User mentions or implies: conversational ai
User mentions or implies: tts
User mentions or implies: stt
User mentions or implies: asr

Limitations

Use this skill only when the task clearly matches the scope described above.
Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

Files

SKILL.md and 1 other file (references) in skills/voice-agents of sickn33/agentic-awesome-skills.

SKILL.md
references/detailed-guide.md

Open the folder on GitHubat commit 680176d

Used in 2 other repositories

We found 8 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 9, 2026.

Compare with similar skills

Voice Agents next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Voice Agents compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Voice Agents this skillsickn33/agentic-awesome-skills	47k	2 repos	~1k	Automated safety check: Pass	MIT	today
9Router Speech-to-Textdecolua/9router	30k	—	~914	Automated safety check: Pass	MIT	yesterday
Voice AI Developmentdavila7/claude-code-templates	32k	5 repos	~2.1k	Automated safety check: Pass	MIT	today
Keirouter Sttmydisha/keirouter	147	—	~680	Automated safety check: Pass	MIT	28 days ago
Deepgram Audio Intelligence for Pythondeepgram/deepgram-python-sdk	469	—	~2.3k	Automated safety check: Pass	MIT	yesterday
Agentstadaspetra/loop	296	1 repos	~2.5k	Automated safety check: Pass	MIT	6 days ago

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Questions about Voice Agents

What does Voice Agents do?

Voice agents represent the frontier of AI interaction - humans speaking naturally with AI systems. Voice Agents is an agent skill from sickn33/agentic-awesome-skills. Voice agents represent the frontier of AI interaction - humans speaking naturally with AI systems.

When should I use Voice Agents?

Voice Agents fits situations like: tasks that involve Speech recognition and synthesis.

How do I install Voice Agents in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill voice-agents -a claude-code`. Or copy the skill folder (skills/voice-agents in sickn33/agentic-awesome-skills) into .claude/skills/voice-agents in your project. Claude Code loads it when a task matches its description.

How do I install Voice Agents in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill voice-agents -a codex`. Or copy the skill folder (skills/voice-agents in sickn33/agentic-awesome-skills) into .agents/skills/voice-agents in your project. Codex loads it when a task matches its description.

Can I use Voice Agents in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill voice-agents -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/voice-agents, .gemini/skills/voice-agents, .github/skills/voice-agents and .opencode/skills/voice-agents in your project.

What does Voice Agents need to run?

Going by SKILL.md and its folder, Voice Agents needs credentials named DEEPGRAM_API_KEY. Our summary lists: A credential in DEEPGRAM_API_KEY.

Does Voice Agents access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Voice Agents safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Voice Agents use?

Voice Agents is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Voice Agents use?

About 1k tokens (SKILL.md is roughly 4.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.6k tokens, read only when the agent opens those files.

What are the alternatives to Voice Agents?

Skills that share tags, products or a category with Voice Agents: 9Router Speech-to-Text (decolua/9router, 30k stars), Voice AI Development (davila7/claude-code-templates, 32k stars), Keirouter Stt (mydisha/keirouter, 147 stars) and Deepgram Audio Intelligence for Python (deepgram/deepgram-python-sdk, 469 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Voice Agents?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,379 GitHub stars. The repository holds 1,493 skills in this directory. The repository was last updated on October 9, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Voice Agents

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Voice Agents

Detailed Guide

Production Pipeline Example

Optimization Tips:

Voice Activity Detection Pattern

VOICE ACTIVITY DETECTION (VAD):

When to Use

Limitations

Files

Used in 2 other repositories

Compare with similar skills

Similar skills

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Related

Questions about Voice Agents