Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Percept Listen
Captures ambient audio from wearable devices, transcribes locally, and streams searchable, speaker-tagged conversation data to your OpenClaw agent.
skill openclawclawhub Free
Captures ambient audio from wearable devices, transcribes locally, and streams searchable, speaker-tagged conversation data to your OpenClaw agent.
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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
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
- 1.0.0
Provenance
- Publisher
- jarvis563
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
percept-listen
Ambient audio capture and transcription for OpenClaw agents via wearable devices.
What it does
Connects a wearable microphone (Omi pendant or Apple Watch) to your OpenClaw agent. Audio is transcribed locally and streamed as structured conversation data โ speaker-tagged, timestamped, and searchable.
When to use
User wants their agent to hear ambient conversations User asks to "start listening" or "turn on the mic" User mentions Omi pendant, wearable, or ambient audio
Requirements
Percept server running locally (pip install getpercept && percept start) Omi pendant paired via phone, OR Apple Watch with Percept app Webhook configured: Omi app โ Settings โ Webhooks โ https://<your-tunnel>/webhook/transcript
Setup
# Install Percept pip install getpercept # Start the receiver (default port 8900) percept start # Or run directly PYTHONPATH=. python -m uvicorn src.receiver:app --host 0.0.0.0 --port 8900 Configure a tunnel (Cloudflare, ngrok, Tailscale) so Omi can reach your local server.
How it works
Omi pendant captures audio โ phone does STT โ sends transcript segments via webhook Percept receiver processes segments into conversations Conversations are stored in local SQLite with FTS5 full-text search All processing stays local โ no audio leaves your machine
Data locations
SQLite DB: percept/data/percept.db Live transcript: /tmp/percept-live.txt Conversations: percept/data/conversations/
Configuration
Wake words, speaker names, and all settings are managed via the Percept dashboard (port 8960) or directly in the SQLite database.
Links
GitHub: https://github.com/GetPercept/percept Docs: https://github.com/GetPercept/percept/docs
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md