Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Voice Assistant
Real-time voice assistant for OpenClaw. Streams mic audio through configurable STT (Deepgram or ElevenLabs) into your OpenClaw agent, then speaks the response via configurable TTS (Deepgram Aura or ElevenLabs). Sub-2s time-to-first-audio with full streaming at every stage.
skill openclawclawhub Free
Real-time voice assistant for OpenClaw. Streams mic audio through configurable STT (Deepgram or ElevenLabs) into your OpenClaw agent, then speaks the response via configurable TTS (Deepgram Aura or ElevenLabs). Sub-2s time-to-first-audio with full streaming at every stage.
β¬ 0 downloads β
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, _meta.json, pyproject.toml, scripts/__init__.py, scripts/server.py, static/index.html
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.1.0
Provenance
- Publisher
- charantejmandali18
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Voice Assistant
Real-time voice interface for your OpenClaw agent. Talk to your agent and hear it respond β with configurable STT and TTS providers, full streaming at every stage, and sub-2 second time-to-first-audio.
Architecture
Browser Mic β WebSocket β STT (Deepgram / ElevenLabs) β Text β OpenClaw Gateway (/v1/chat/completions, streaming) β Response Text β TTS (Deepgram Aura / ElevenLabs) β Audio chunks β Browser Speaker The voice interface connects to your running OpenClaw gateway's OpenAI-compatible endpoint. It's the same agent with all its context, tools, and memory β just with a voice.
Quick Start
cd {baseDir} cp .env.example .env # Fill in your API keys and gateway URL uv run scripts/server.py # Open http://localhost:7860 and click the mic
STT (Speech-to-Text)
ProviderModelLatencyNotesDeepgramnova-2 (streaming)~200-300msWebSocket streaming, best accuracy/speedElevenLabsScribe v1~300-500msREST-based, good multilingual
TTS (Text-to-Speech)
ProviderModelLatencyNotesDeepgramaura-2~200msWebSocket streaming, low costElevenLabsTurbo v2.5~300msBest voice quality, streaming
Configuration
All configuration is via environment variables in .env: # === Required === OPENCLAW_GATEWAY_URL=http://localhost:4141/v1 # Your OpenClaw gateway OPENCLAW_MODEL=claude-sonnet-4-5-20250929 # Model your gateway routes to # === STT Provider (pick one) === VOICE_STT_PROVIDER=deepgram # "deepgram" or "elevenlabs" DEEPGRAM_API_KEY=your-key-here # Required if STT=deepgram ELEVENLABS_API_KEY=your-key-here # Required if STT=elevenlabs # === TTS Provider (pick one) === VOICE_TTS_PROVIDER=elevenlabs # "deepgram" or "elevenlabs" # Uses the same API keys as above # === Optional Tuning === VOICE_TTS_VOICE=rachel # ElevenLabs voice name/ID VOICE_TTS_VOICE_DG=aura-2-theia-en # Deepgram Aura voice VOICE_VAD_SILENCE_MS=400 # Silence before end-of-turn (ms) VOICE_SAMPLE_RATE=16000 # Audio sample rate VOICE_SERVER_PORT=7860 # Server port VOICE_SYSTEM_PROMPT="" # Optional system prompt override
Provider Combinations
SetupBest ForDeepgram STT + ElevenLabs TTSBest quality voice outputDeepgram STT + Deepgram TTSLowest latency, single vendorElevenLabs STT + ElevenLabs TTSBest multilingual support
How It Works
Browser captures mic audio via Web Audio API and streams raw PCM over a WebSocket Server receives audio and pipes it to the configured STT provider's streaming endpoint STT returns partial transcripts in real-time; on end-of-utterance the full text is sent to the OpenClaw gateway OpenClaw gateway streams the LLM response token-by-token via SSE (Server-Sent Events) Tokens are accumulated into sentence-sized chunks and streamed to the TTS provider TTS returns audio chunks that are immediately forwarded to the browser over the same WebSocket Browser plays audio using the Web Audio API with a jitter buffer for smooth playback
Interruption Handling (Barge-In)
When the user starts speaking while the agent is still talking: Current TTS audio is immediately cancelled The agent stops its current response New STT session begins capturing the user's interruption
Usage Examples
User: "Hey, set up my voice assistant" β OpenClaw runs: cd {baseDir} && cp .env.example .env β Opens .env for the user to fill in API keys β Runs: uv run scripts/server.py User: "Start a voice chat" β Opens http://localhost:7860 in the browser User: "Switch TTS to Deepgram" β Updates VOICE_TTS_PROVIDER=deepgram in .env β Restarts the server
Troubleshooting
No audio output? Check that your TTS API key is valid and the provider is set correctly High latency? Use Deepgram for both STT and TTS; ensure your gateway is on the same network Cuts off speech? Increase VOICE_VAD_SILENCE_MS to 600-800ms Echo/feedback? Use headphones, or enable the built-in echo cancellation in the browser UI
Latency Budget
StageTargetActual (typical)Audio capture + VAD<200ms~100-150msSTT transcription<400ms~200-400msOpenClaw LLM first token<1500ms~500-1500msTTS first audio chunk<400ms~200-400msTotal first audio<2.5s~1.0-2.5s
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Scripts2 Files1 Docs1 Config
- SKILL.md
- scripts/__init__.py
- scripts/server.py
- _meta.json
- pyproject.toml
- static/index.html