add-voice-transcription
Add voice message transcription to NanoClaw using OpenAI's Whisper API. Automatically transcribes WhatsApp voice notes so the agent can read and respond to them.
Install
mkdir -p .claude/skills/add-voice-transcription && curl -L -o skill.zip "https://mcp.directory/api/skills/download/4519" && unzip -o skill.zip -d .claude/skills/add-voice-transcription && rm skill.zipInstalls to .claude/skills/add-voice-transcription
About this skill
Add Voice Transcription
This skill adds automatic voice message transcription to NanoClaw's WhatsApp channel using OpenAI's Whisper API. When a voice note arrives, it is downloaded, transcribed, and delivered to the agent as [Voice: <transcript>].
Phase 1: Pre-flight
Check if already applied
Check if src/transcription.ts exists. If it does, skip to Phase 3 (Configure). The code changes are already in place.
Ask the user
Use AskUserQuestion to collect information:
AskUserQuestion: Do you have an OpenAI API key for Whisper transcription?
If yes, collect it now. If no, direct them to create one at https://platform.openai.com/api-keys.
Phase 2: Apply Code Changes
Prerequisite: WhatsApp must be installed first (skill/whatsapp merged). This skill modifies WhatsApp channel files.
Ensure WhatsApp fork remote
git remote -v
If whatsapp is missing, add it:
git remote add whatsapp https://github.com/qwibitai/nanoclaw-whatsapp.git
Merge the skill branch
git fetch whatsapp skill/voice-transcription
git merge whatsapp/skill/voice-transcription || {
git checkout --theirs package-lock.json
git add package-lock.json
git merge --continue
}
This merges in:
src/transcription.ts(voice transcription module using OpenAI Whisper)- Voice handling in
src/channels/whatsapp.ts(isVoiceMessage check, transcribeAudioMessage call) - Transcription tests in
src/channels/whatsapp.test.ts openainpm dependency inpackage.jsonOPENAI_API_KEYin.env.example
If the merge reports conflicts, resolve them by reading the conflicted files and understanding the intent of both sides.
Validate code changes
npm install --legacy-peer-deps
npm run build
npx vitest run src/channels/whatsapp.test.ts
All tests must pass and build must be clean before proceeding.
Phase 3: Configure
Get OpenAI API key (if needed)
If the user doesn't have an API key:
I need you to create an OpenAI API key:
- Go to https://platform.openai.com/api-keys
- Click "Create new secret key"
- Give it a name (e.g., "NanoClaw Transcription")
- Copy the key (starts with
sk-)Cost:
$0.006 per minute of audio ($0.003 per typical 30-second voice note)
Wait for the user to provide the key.
Add to environment
Add to .env:
OPENAI_API_KEY=<their-key>
Sync to container environment:
mkdir -p data/env && cp .env data/env/env
The container reads environment from data/env/env, not .env directly.
Build and restart
npm run build
launchctl kickstart -k gui/$(id -u)/com.nanoclaw # macOS
# Linux: systemctl --user restart nanoclaw
Phase 4: Verify
Test with a voice note
Tell the user:
Send a voice note in any registered WhatsApp chat. The agent should receive it as
[Voice: <transcript>]and respond to its content.
Check logs if needed
tail -f logs/nanoclaw.log | grep -i voice
Look for:
Transcribed voice message— successful transcription with character countOPENAI_API_KEY not set— key missing from.envOpenAI transcription failed— API error (check key validity, billing)Failed to download audio message— media download issue
Troubleshooting
Voice notes show "[Voice Message - transcription unavailable]"
- Check
OPENAI_API_KEYis set in.envAND synced todata/env/env - Verify key works:
curl -s https://api.openai.com/v1/models -H "Authorization: Bearer $OPENAI_API_KEY" | head -c 200 - Check OpenAI billing — Whisper requires a funded account
Voice notes show "[Voice Message - transcription failed]"
Check logs for the specific error. Common causes:
- Network timeout — transient, will work on next message
- Invalid API key — regenerate at https://platform.openai.com/api-keys
- Rate limiting — wait and retry
Agent doesn't respond to voice notes
Verify the chat is registered and the agent is running. Voice transcription only runs for registered groups.
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