version: "1.0.1" name: whatsapp description: "WhatsApp automation (Green API primary, WAHA fallback). Use for: send/receive messages, send voice/images/files, retrieve incoming messages (text, voice, images), transcribe voice messages. WAME = 'WhatsApp ME' = send me by WhatsApp." enhancedBy:

• get-contact: "Auto-lookup phone by name. Without it: ask user for phone directly"

WhatsApp Automation

Send messages via unified script with Green API (primary) + WAHA (fallback if configured).

Quick Start - Unified Script

cd ~/.claude/skills/whatsapp/scripts
 
# Text message
npx ts-node send-message.ts "Hello!" --to 972501234567
 
# Multiline text from shell: use $'...'
npx ts-node send-message.ts $'Line 1\n\nLine 2\n- Bullet A\n- Bullet B' --to 972501234567
 
# Image with caption
npx ts-node send-message.ts --to 972501234567 --image /path/to/image.jpg --caption "Check this out!"
 
# Video with caption
npx ts-node send-message.ts --to 972501234567 --video /path/to/video.mp4 --caption "Watch this!"
 
# Any media file (auto-detect)
npx ts-node send-message.ts --to 972501234567 --media /path/to/any-file --caption "Here!"
 
# Voice message
npx ts-node send-message.ts --to 972501234567 --voice /path/to/audio.ogg
 
# File/document
npx ts-node send-message.ts --to 972501234567 --file /path/to/doc.pdf --caption "Here's the doc"
 
# Send to group
npx ts-node send-message.ts "Group message" --group 120363xxx@g.us
 
# Reply to a specific message (quoted reply)
npx ts-node send-message.ts "Reply!" --group 120363xxx@g.us --quote BAE5367237E13A1B
 
# Voice as quoted reply
npx ts-node send-message.ts --group 120363xxx@g.us --voice /tmp/voice.mp3 --quote BAE5367237E13A1B
 
# Dry run (preview)
npx ts-node send-message.ts "Test" --to 972501234567 --dry-run

Default Numbers

Sending Video & Audio — encode to AAC

WhatsApp (and Facebook) play a video silently if its audio track is MP3 muxed into an MP4 — the file is valid and has sound in desktop players, but the mobile app drops it. Always ship video with AAC audio:

# Re-encode ONLY the audio to AAC, leave the video untouched; +faststart for streaming
ffmpeg -y -i in.mp4 -c:v copy -c:a aac -b:a 192k -movflags +faststart out.mp4
 
# Verify it isn't silent before sending
ffmpeg -i out.mp4 -af volumedetect -f null /dev/null 2>&1 | grep mean_volume

Voice notes: convert the source to OGG/Opus first — raw MP3 in a container is unreliable in the app.

Script Options

Multiline Formatting

When sending a WhatsApp message with line breaks from the shell, do not pass literal \n inside a normal quoted string if you want actual newlines in the final message.

Use shell ANSI-C quoting instead:

npx ts-node send-message.ts $'Hi\n\nLine 2\n- Item 1\n- Item 2' --group 120363xxx@g.us

Why:

• "text with \n" sends the characters \ + n — but the script auto-converts these to real newlines
• $'text with \n' sends real line breaks natively

Either form works — the script normalizes literal \n to real newlines before sending.

Apostrophes inside `$'...'`: Use \' directly — do NOT use the '\'' trick. The '\'' pattern breaks out of ANSI-C quoting, and everything after it becomes regular single-quoted (where \n is literal).

# CORRECT — apostrophe inside $'...'
$'I\'ve added a check.\n\nNext line.'
 
# WRONG — breaks ANSI-C quoting, \n becomes literal after the apostrophe
$'I'\''ve added a check.\n\nNext line.'

For structured WhatsApp messages, prefer:

• short opening line
• blank line
• short bullet list
• blank line
• closing line

Formatting Rule — Match Language

English messages: Use regular bullets/dashes. Never use Hebrew letters (א. ב. ג.) in English text.

- First item
- Second item
- Third item

Hebrew messages: Every line must start with a Hebrew character for correct RTL rendering. Use Hebrew letters for list items.

א. פריט ראשון
ב. פריט שני
ג. פריט שלישי

Don't mix: No Hebrew letters in English messages, no dashes/numbers in Hebrew messages.

Don't:

- פריט ראשון
1. פריט שני
* פריט שלישי

Lines starting with non-Hebrew characters (dashes, numbers, asterisks, English) break RTL alignment in WhatsApp. Always ensure the first visible character is Hebrew.

Provider Logic

Note: WAHA is not currently installed. Green API handles all message types.

Configuration

Credentials in scripts/.env:

# Green API (primary provider)
GREEN_API_URL=https://7103.api.greenapi.com
GREEN_API_INSTANCE=your_instance
GREEN_API_TOKEN=your_token
 
# WAHA (optional fallback — uncomment if installed)
# WAHA_URL=http://localhost:3001
# WAHA_API_KEY=your_key
# WAHA_SESSION=default

Phone Number Format

Direct API (WAHA)

For text messages only:

source ~/.claude/skills/whatsapp/config.sh
 
curl -s -X POST "$WAHA_URL/api/sendText" \
  -H "X-Api-Key: $WAHA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "session": "default",
    "chatId": "972501234567@c.us",
    "text": "Hello!"
  }'

Check Session Status

source ~/.claude/skills/whatsapp/config.sh
curl -s -H "X-Api-Key: $WAHA_API_KEY" "$WAHA_URL/api/sessions/default"

Finding Contact by Name

When user says "send WhatsApp to [name]" without phone number:

1. Use get-contact skill to search CRM
2. If not found → ask user for phone
3. If multiple → ask user to choose
4. If one → confirm before sending

Always confirm contact before sending.

Finding a Group by Name or Project

When user says "send to [project] group" — search Green API directly (WAHA may be down):

TOKEN=$(grep "GREEN_API_TOKEN" ~/.claude/skills/whatsapp/scripts/.env | cut -d'=' -f2)
INSTANCE=$(grep "GREEN_API_INSTANCE" ~/.claude/skills/whatsapp/scripts/.env | cut -d'=' -f2)
curl -s "https://7103.api.greenapi.com/waInstance$INSTANCE/getChats/$TOKEN" | python3 -c "
import json,sys
data=json.load(sys.stdin)
for c in (data if isinstance(data,list) else []):
    if '@g.us' in c.get('id',''):
        print(c.get('id'), '|', c.get('name',''))
"

Then send using send-message.ts --group <ID>.

Never check WAHA session before sending — the script handles fallback automatically.

Provider Notes

Green API is the primary provider. WAHA is not installed and only used as fallback if explicitly configured. Just run send-message.ts — it uses Green API directly.

Retrieving Messages (get-messages.ts)

Fetch incoming messages, voice recordings, and media from any contact:

# Get recent messages from a contact
npx ts-node get-messages.ts --chat 972526062921 --count 5
 
# Get messages from last 2 hours
npx ts-node get-messages.ts --chat 972526062921 --minutes 120
 
# Get all messages from a time range
npx ts-node get-messages.ts --start "2h ago" --end "now"
 
# Output as JSON (includes download URLs for media)
npx ts-node get-messages.ts --chat 972526062921 --json

What you get:

• Text messages with full content
• Voice messages with download URL (OGA/OGG format) — can be transcribed separately
• Images with download URL and metadata
• Timestamps, sender info, file names
• All message types (extended text, reactions, media)

Quoted/reply messages are shown inline — get-messages.ts now displays quoted context automatically with ↳ Reply to prefix. Both extendedTextMessage and quotedMessage types are handled.

Message types: textMessage, extendedTextMessage (with .text), quotedMessage (reply with .quotedMessage.textMessage), reactionMessage, imageMessage

Voice Message Workflow:

1. Get messages with get-messages.ts --json
2. Extract downloadUrl from audioMessage type
3. Download the OGA file
4. Convert to WAV: ffmpeg -i file.oga -ar 16000 file.wav
5. Transcribe: /transcribe --language he /path/to/file.wav

Waiting for Replies — Monitor Integration

Sometimes after sending a message you need the contact's reply before you can continue — an approval, a decision, feedback, a "how much do I owe you". Instead of stopping and asking the user to watch the chat, hand the waiting to the Monitor tool and keep working; each new reply arrives as a notification.

Use scripts/watch-replies.sh — it polls for genuinely new incoming messages (dedupes by id, handles text / reactions / media) and prints one line per reply, which is exactly what Monitor consumes. Exits only when killed (Monitor timeout / TaskStop).

# usage
scripts/watch-replies.sh --chat <number|groupId> [--since <epoch>] [--interval 30] [--label REPLY]

Launch it through the Monitor tool (not Bash), so replies notify you while you keep working:

• command: ~/.claude/skills/whatsapp/scripts/watch-replies.sh --chat 972501234567 --since "$(date +%s)" --label CLIENT
• timeout_ms: how long to wait (e.g. 3600000 for an hour).
• Always set `--since` to the moment you sent ($(date +%s)), or old history re-fires as if new.

⚠️ Do NOT hand-roll an inline poller in the Monitor `command`. Passing a group id or JSON body directly in the shell breaks under zsh — @g.us triggers bad math expression: illegal character: @, and the monitor exits 1. watch-replies.sh takes the chat as an argument (--chat <id>), so group ids are safe. Always reach for this script; never inline the group id + curl/python in the Monitor command.

Decide per situation whether to use it

Reach for it when the reply changes what you do next:

• you sent something that needs approval before the next step (a draft, a preview, a quote);
• you asked a question and will act on the answer;
• you're in an iterative loop (send fix → they review → send next);
• you started long work and want to hear back without blocking.

Skip it for fire-and-forget (a confirmation, an FYI, a "done") — no reply is expected, so there's nothing to watch.

Staying in the conversation

Often the right move is to remain engaged: when a reply lands, respond, then re-arm a fresh watcher (new --since) for the next turn. That's a real back-and-forth — send sample → they approve → send fix → wait again — until the thread naturally closes (final approval, thanks, payment settled, or the user says wrap up). Each round: send → watch → reply → re-watch. Use your judgement on when the exchange is genuinely done and it's time to stop watching.

Discipline

• Each watcher has its own dedupe file, so two watchers on the same chat double-fire — TaskStop the old one before arming a new one.
• Reactions surface as (reaction 👍) and media as [imageMessage]; when you need the image URL / caption / voice file, pull the full record with get-messages.ts --json.

When to Use

• Send notifications or alerts
• Share images/posters
• Voice messages
• Document sharing
• Automated reminders
• Workshop follow-ups
• Retrieve and transcribe voice messages from customers
• Check media attachments from contacts