---
name: whatsapp-voice
description: "Transcribe WhatsApp voice messages using local Whisper CLI. Use when: owner or contact sends an audio/ogg voice message. Combines Whisper transcription + CRM update + task creation. Works offline for short clips, uses OpenAI API for long clips. Hebrew and English supported."
---

# WhatsApp Voice — Use-Case Skill

This is a **use-case** skill, not a standalone integration. It combines:
- **openai-whisper CLI** — transcription
- **personal-crm** — update contact's Last Topic if a person is mentioned
- **monday / task tracker** — save task if needed

---

## Transcription Strategy (Auto-Select by Duration)

Select model based on audio length:

| Tier | Model | When | Est. Time |
|---|---|---|---|
| 1 — Fast | `tiny` (local) | ≤ 15 seconds | 5-15s |
| 2 — Balanced | `small` (local) | 15-60 seconds | 30-90s |
| 3 — Accurate | OpenAI Whisper API | > 60 seconds | 2-5s |

### Auto-Select Script

```bash
#!/bin/bash
FILE="$1"

# Get duration
DURATION=$(ffprobe -v quiet -show_entries format=duration -of csv=p=0 "$FILE" 2>/dev/null | cut -d. -f1)
DURATION=${DURATION:-0}

if [ "$DURATION" -le 15 ]; then
  MODEL="tiny"; TIMEOUT=30
elif [ "$DURATION" -le 60 ]; then
  MODEL="small"; TIMEOUT=120
else
  USE_API=true
fi

if [ "${USE_API:-false}" = true ]; then
  RESULT=$(curl -s https://api.openai.com/v1/audio/transcriptions \
    -H "Authorization: Bearer $OPENAI_API_KEY" \
    -F file="@$FILE" \
    -F model="whisper-1" \
    -F language="he" \
    | jq -r '.text')
else
  OUTDIR="/tmp/whisper-$$"
  mkdir -p "$OUTDIR"
  whisper "$FILE" --model "$MODEL" --language he --output_format txt --output_dir "$OUTDIR" 2>/dev/null
  RESULT=$(cat "$OUTDIR/"*.txt 2>/dev/null)

  # If tiny returned too few words, retry with small
  WORD_COUNT=$(echo "$RESULT" | wc -w)
  if [ "$MODEL" = "tiny" ] && [ "$WORD_COUNT" -le 1 ]; then
    whisper "$FILE" --model small --language he --output_format txt --output_dir "$OUTDIR" 2>/dev/null
    RESULT=$(cat "$OUTDIR/"*.txt 2>/dev/null)
  fi
fi

echo "$RESULT"
```

---

## Installation

```bash
# Install Whisper CLI (local)
pip install openai-whisper

# ffprobe for duration detection
apt install ffmpeg   # Linux
brew install ffmpeg  # macOS
```

Models download automatically to `~/.cache/whisper/` on first run.

---

## Full Use-Case Flow: Voice → CRM → monday

When owner sends a voice message:

1. **Transcribe** (Whisper) — convert OGG to text
2. **Identify intent** — read the text, understand what's needed
3. **If a person is mentioned** (personal-crm) — search CRM board, update Last Topic
4. **If a task is needed** — create item in monday Task Tracker
5. **Execute** — do what was asked

```
Voice OGG → [Whisper] → Text → [Intent] → [CRM update] + [monday task] + [execute]
```

---

## Hebrew-Specific Notes

- Always pass `--language he` — auto-detect often defaults to English
- Names and technical terms may be transcribed phonetically
- `small` model handles natural Hebrew speech well

---

## Known Issues

- FP16 warning on CPU = expected, not an error
- Clips < 2 seconds may hallucinate — ask to re-record
- No GPU = slow. OpenAI API is the fast path for long clips (~$0.006/min)

---

## File Location (OpenClaw)

WhatsApp inbound media:
```
/path/to/openclaw/media/inbound/<uuid>.ogg
```
File path is in system metadata for each inbound media attachment.


---
Source attribution: netanel-abergel
Original project: https://github.com/netanel-abergel/pa-skills/blob/ca4344f33175b78797352bb9e8cdec864eff492d/skills/whatsapp-voice/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2025 Netanel Abergel

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: netanel-abergel
Original project: https://github.com/netanel-abergel/pa-skills/blob/ca4344f33175b78797352bb9e8cdec864eff492d/skills/whatsapp-voice/SKILL.md
Attribution basis: Source repository record

Fields of work: Product Management, Sales, Customer Support
Roles: Customer Success Manager, Product Manager, Support Agent
Specialties: API
Tools: FFmpeg, Monday.com, OpenAI API, WhatsApp
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 3dce3030638f37eab8cdcbb4065bda48735c5e7e54b5aad6a7f35c5c427b84a0