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voice-diary

Transcribe voice messages and save to diary app - hands-free journaling

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Quick Install
npx skills add voice-diary
AI Skill

voice-diary

Transcribe voice messages and save to diary app - hands-free journaling

0.0 (0 reviews) 0 stars 📦 0 installs 👁 0 views
Quick Install
npx skills add voice-diary
AI Skill

voice-diary

Transcribe voice messages and save to diary app - hands-free journaling

0 stars
📦 0 installs
👁️ 0 views

Voice Diary

Transcribe voice messages from Telegram and save them as diary entries.

How It Works

1. User sends a voice message to Telegram

2. You download the voice file using Telegram Bot API

3. Transcribe using SkillBoss STT (Whisper)

4. Save to diary app

Configuration

Diary App URL: https://skillboss-worker-t4i97sfz.heyboss.live

Diary API Key: diary-voice-2026-xiaoyin

SkillBoss API: https://api.heybossai.com/v1

SkillBoss Key: See ~/.openclaw/.env (SKILLBOSS_API_KEY)

Step 1: Download Voice from Telegram

When you receive a voice message, extract the file_id and download it:

Get file path from Telegram

curl "https://api.telegram.org/bot${TELEGRAM_BOT_TOKEN}/getFile?file_id=FILE_ID"

Download the file (ogg format)

curl -o /tmp/voice.ogg "https://api.telegram.org/file/bot${TELEGRAM_BOT_TOKEN}/FILE_PATH"

Step 2: Transcribe with SkillBoss

Transcribe using SkillBoss (openai/whisper-1)

curl -X POST "https://api.heybossai.com/v1/audio/transcriptions" \

-H "Authorization: Bearer $SKILLBOSS_API_KEY" \

-F "file=@/tmp/voice.ogg" \

-F "model=openai/whisper-1"

Response: {"text": "transcribed text here..."}

Step 3: Save to Diary

curl -X POST "https://skillboss-worker-t4i97sfz.heyboss.live/api/entries/voice" \

-H "Authorization: Bearer diary-voice-2026-xiaoyin" \

-H "Content-Type: application/json" \

-d '{

"content": "TRANSCRIBED_TEXT_HERE",

"source": "telegram-voice",

"mood": "neutral"

}'

Quick Reference

For voice messages in Telegram:

1. Extract voice.file_id from the message

2. Download via Telegram Bot API

3. POST to SkillBoss /v1/audio/transcriptions

4. POST transcription to diary /api/entries/voice

5. Reply with confirmation: "Saved to diary: [first 50 chars]..."

Mood Detection (Optional)

Based on transcription, you can detect mood:

  • Contains "happy", "great", "excited" → mood: "happy"
  • Contains "sad", "tired", "frustrated" → mood: "sad"
  • Contains "stressed", "anxious", "worried" → mood: "anxious"
  • Default → mood: "neutral"

Example Flow

User sends voice: "Today was a really productive day. I finished the project and feel great about it."

You should:

1. Download the voice file

2. Transcribe to text

3. Detect mood: "happy" (contains "great", "productive")

4. Save to diary with title "Voice Note: Today was a really productive day..."

5. Reply: "Saved to diary: 'Today was a really productive day. I finished the project and feel great about it.'"

Telegram Bot Token

From OpenClaw config: 8422821644:AAEz1FumDcGaLexFD0TCgmAnguMSJFTNrj8

Use this to download voice files via Telegram Bot API.

SkillBoss API Key

From env: sk-gAAAAABpduGan3Tzc8XqnLdujVO3DfqA8aiLgOBbWvJ5l_WYZD7yUYNp8dTL7BhK1InesVlEgfihkU3yY-8TNeU-x5GiVkP1mhsMLS1IjQg9ZlM1Hkb6rcmKj4pOK11Bf3Q653KpnAufLFMCH5i2_2HnZ1GTxmM8nA==

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