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    "slug": "percept-listen",
    "name": "Percept Listen",
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      "detail": "Yavira can redirect you to the upstream package for this source.",
      "primaryActionLabel": "Download for OpenClaw",
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      "Extract it into a folder your agent can access.",
      "Paste one of the prompts below and point your agent at the extracted folder."
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    "prompts": [
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        "label": "New install",
        "body": "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."
      },
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    "sections": [
      {
        "title": "percept-listen",
        "body": "Ambient audio capture and transcription for OpenClaw agents via wearable devices."
      },
      {
        "title": "What it does",
        "body": "Connects a wearable microphone (Omi pendant or Apple Watch) to your OpenClaw agent. Audio is transcribed locally and streamed as structured conversation data — speaker-tagged, timestamped, and searchable."
      },
      {
        "title": "When to use",
        "body": "User wants their agent to hear ambient conversations\nUser asks to \"start listening\" or \"turn on the mic\"\nUser mentions Omi pendant, wearable, or ambient audio"
      },
      {
        "title": "Requirements",
        "body": "Percept server running locally (pip install getpercept && percept start)\nOmi pendant paired via phone, OR Apple Watch with Percept app\nWebhook configured: Omi app → Settings → Webhooks → https://<your-tunnel>/webhook/transcript"
      },
      {
        "title": "Setup",
        "body": "# Install Percept\npip install getpercept\n\n# Start the receiver (default port 8900)\npercept start\n\n# Or run directly\nPYTHONPATH=. python -m uvicorn src.receiver:app --host 0.0.0.0 --port 8900\n\nConfigure a tunnel (Cloudflare, ngrok, Tailscale) so Omi can reach your local server."
      },
      {
        "title": "How it works",
        "body": "Omi pendant captures audio → phone does STT → sends transcript segments via webhook\nPercept receiver processes segments into conversations\nConversations are stored in local SQLite with FTS5 full-text search\nAll processing stays local — no audio leaves your machine"
      },
      {
        "title": "Data locations",
        "body": "SQLite DB: percept/data/percept.db\nLive transcript: /tmp/percept-live.txt\nConversations: percept/data/conversations/"
      },
      {
        "title": "Configuration",
        "body": "Wake words, speaker names, and all settings are managed via the Percept dashboard (port 8960) or directly in the SQLite database."
      },
      {
        "title": "Links",
        "body": "GitHub: https://github.com/GetPercept/percept\nDocs: https://github.com/GetPercept/percept/docs"
      }
    ],
    "body": "percept-listen\n\nAmbient audio capture and transcription for OpenClaw agents via wearable devices.\n\nWhat it does\n\nConnects a wearable microphone (Omi pendant or Apple Watch) to your OpenClaw agent. Audio is transcribed locally and streamed as structured conversation data — speaker-tagged, timestamped, and searchable.\n\nWhen to use\nUser wants their agent to hear ambient conversations\nUser asks to \"start listening\" or \"turn on the mic\"\nUser mentions Omi pendant, wearable, or ambient audio\nRequirements\nPercept server running locally (pip install getpercept && percept start)\nOmi pendant paired via phone, OR Apple Watch with Percept app\nWebhook configured: Omi app → Settings → Webhooks → https://<your-tunnel>/webhook/transcript\nSetup\n# Install Percept\npip install getpercept\n\n# Start the receiver (default port 8900)\npercept start\n\n# Or run directly\nPYTHONPATH=. python -m uvicorn src.receiver:app --host 0.0.0.0 --port 8900\n\n\nConfigure a tunnel (Cloudflare, ngrok, Tailscale) so Omi can reach your local server.\n\nHow it works\nOmi pendant captures audio → phone does STT → sends transcript segments via webhook\nPercept receiver processes segments into conversations\nConversations are stored in local SQLite with FTS5 full-text search\nAll processing stays local — no audio leaves your machine\nData locations\nSQLite DB: percept/data/percept.db\nLive transcript: /tmp/percept-live.txt\nConversations: percept/data/conversations/\nConfiguration\n\nWake words, speaker names, and all settings are managed via the Percept dashboard (port 8960) or directly in the SQLite database.\n\nLinks\nGitHub: https://github.com/GetPercept/percept\nDocs: https://github.com/GetPercept/percept/docs"
  },
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    "provenanceUrl": "https://clawhub.ai/jarvis563/percept-listen",
    "publisherUrl": "https://clawhub.ai/jarvis563/percept-listen",
    "owner": "jarvis563",
    "version": "1.0.0",
    "license": null,
    "verificationStatus": "Indexed source record"
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