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voice-ai-development — Claude Code skill: install guide
This skill guides work on voice applications and real-time voice agents. Use it when a task involves speech recognition, speech synthesis, or streamed audio.
Install into Claude Code · Skills CLI (Vercel)
All methods and platforms ↓
npx skills add sickn33/agentic-awesome-skills --skill voice-ai-development -a claude-codeWhat voice-ai-development does
The skill covers voice-agent architecture, real-time audio streaming, latency budgets, and audio-quality tuning. It works across OpenAI Realtime API, Vapi, Deepgram, ElevenLabs, LiveKit, and WebRTC fundamentals. It helps an agent choose providers for a voice use case and reason about perceived responsiveness.
Read references/detailed-guide.md before execution because it contains the procedure, safety requirements, and validation steps. The prerequisites include async programming, WebSocket basics, audio handling knowledge, Python or Node.js, and provider API keys. API keys are required for provider integrations, so check access before building. Bundled examples require integration testing.
What it helps with
- design a real-time voice agent
- stream audio between a client and service
- choose a speech-to-text provider
- add speech synthesis with ElevenLabs
- measure turn latency and interruption handling
Example prompts for the agent
- “Design a real-time voice agent using OpenAI Realtime API and streamed audio.”
- “Plan a speech-to-text flow with Deepgram and speech synthesis with ElevenLabs.”
- “Review latency issues in a LiveKit and WebRTC voice application.”
How to install voice-ai-development
1Skills CLI (Vercel)
npx skills add sickn33/agentic-awesome-skills --skill voice-ai-development -a claude-code2Manually: put the files in place
~/.claude/skills/voice-ai-development/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/voice-ai-development/
1Skills CLI (Vercel)
npx skills add sickn33/agentic-awesome-skills --skill voice-ai-development -a codex2Manually: put the files in place
.agents/skills/voice-ai-development/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add sickn33/agentic-awesome-skills --skill voice-ai-development -a cursor2Manually: put the files in place
.cursor/skills/voice-ai-development/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install sickn33/agentic-awesome-skills voice-ai-development2Manually: put the files in place
.github/skills/voice-ai-development/SKILL.md1Skills CLI (Vercel)
npx skills add sickn33/agentic-awesome-skills --skill voice-ai-development -a gemini-cli2Platform CLI
gemini skills install https://github.com/sickn33/agentic-awesome-skills --path skills/voice-ai-developmentManually: put the files in place
.devin/skills/voice-ai-development/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add sickn33/agentic-awesome-skills --skill voice-ai-development -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
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Questions about voice-ai-development
How do I install voice-ai-development in Claude Code?
Run npx skills add sickn33/agentic-awesome-skills --skill voice-ai-development -a claude-code twice, then open ~/.claude/skills/voice-ai-development/SKILL.md.
What does voice-ai-development do?
It guides the design of voice applications and real-time voice agents. Its scope includes OpenAI Realtime API, Vapi, Deepgram, ElevenLabs, LiveKit, and WebRTC.
What is required to use this skill?
You need async programming, WebSocket, and audio-handling knowledge, plus Python or Node.js. Provider integrations require API keys, and bundled examples need integration testing.
Source text
SKILL.md · MIT
--- name: voice-ai-development description: Expert in building voice AI applications - from real-time voice agents to voice-enabled apps. Covers OpenAI Realtime API, Vapi for voice agents, Deepgram for transcription, ElevenLabs for synthesis, LiveKit for real-time infrastructure, and WebRTC fundamentals. risk: critical source: vibeship-spawner-skills (Apache 2.0) date_added: 2026-02-27 --- # Voice AI Development Expert in building voice AI applications - from real-time voice agents to voice-enabled apps. Covers OpenAI Realtime API, Vapi for voice agents, Deepgram for transcription, ElevenLabs for synthesis, LiveKit for real-time infrastructure, and WebRTC fundamentals. Knows how to design low-latency voice experiences; bundled examples require integration testing. **Role**: Voice AI Architect You are an expert in building real-time voice applications. You think in terms of latency budgets, audio quality, and user experience. You know that voice apps feel magical when fast and broken when slow. You choose the right combination of providers for each use case and optimize relentlessly for perceived responsiveness. ### Expertise - Real-time audio streaming - Voice agent architecture - Provider selection - Latency optimization - Audio quality tuning ## Detailed Guide Read [the detailed guide](references/detailed-guide.md) 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. ## Prerequisites - 0: Async programming - 1: WebSocket basics - 2: Audio concepts (sample rate, codec) - Required skills: Python or Node.js, API keys for providers, Audio handling knowledge ## When to Use - User mentions or implies: voice ai - User mentions or implies: voice agent - User mentions or implies: speech to text - User mentions or implies: text to speech - User mentions or implies: realtime voice - User mentions or implies: vapi - User mentions or implies: deepgram - User mentions or implies: elevenlabs - User mentions or implies: livekit - User mentions or implies: openai realtime ## 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. ## Example For an inbound support prototype, authorize one test caller, disable recording, use a read-only order tool with customer ownership checks, and measure turn latency and interruption behavior before enabling real customers or outbound calls.
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