add-voice-transcription
npx machina-cli add skill qwibitai/nanoclaw/add-voice-transcription --openclawAdd 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
Read .nanoclaw/state.yaml. If voice-transcription is in applied_skills, 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
Run the skills engine to apply this skill's code package.
Initialize skills system (if needed)
If .nanoclaw/ directory doesn't exist yet:
npx tsx scripts/apply-skill.ts --init
Apply the skill
npx tsx scripts/apply-skill.ts .claude/skills/add-voice-transcription
This deterministically:
- Adds
src/transcription.ts(voice transcription module using OpenAI Whisper) - Three-way merges voice handling into
src/channels/whatsapp.ts(isVoiceMessage check, transcribeAudioMessage call) - Three-way merges transcription tests into
src/channels/whatsapp.test.ts(mock + 3 test cases) - Installs the
openainpm dependency - Updates
.env.examplewithOPENAI_API_KEY - Records the application in
.nanoclaw/state.yaml
If the apply reports merge conflicts, read the intent files:
modify/src/channels/whatsapp.ts.intent.md— what changed and invariants for whatsapp.tsmodify/src/channels/whatsapp.test.ts.intent.md— what changed for whatsapp.test.ts
Validate code changes
npm test
npm run build
All tests must pass (including the 3 new voice transcription tests) 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.
Source
git clone https://github.com/qwibitai/nanoclaw/blob/main/.claude/skills/add-voice-transcription/SKILL.mdView on GitHub Overview
Adds automatic voice message transcription to NanoClaw's WhatsApp channel using OpenAI Whisper. When a voice note arrives, it is downloaded, transcribed, and delivered to the agent as [Voice: <transcript>].
How This Skill Works
The skill introduces a transcription module powered by OpenAI Whisper and integrates it into the WhatsApp channel. It detects voice messages, runs transcription, and exposes the transcript to the agent as a formatted [Voice: <transcript>]; code changes include updates to src/channels/whatsapp.ts and tests, plus an OpenAI dependency and environment key.
When to Use It
- You need readable transcripts of WhatsApp voice notes to craft timely responses.
- You have an OpenAI Whisper API key and want automated transcription enabled.
- You are configuring or updating NanoClaw with this skill and need guidance on application steps.
- You want to validate transcription with tests and ensure the WhatsApp integration handles voice messages.
- You need troubleshooting guidance for missing transcripts or API key issues.
Quick Start
- Step 1: If needed, initialize the skills system: npx tsx scripts/apply-skill.ts --init
- Step 2: Apply the voice transcription skill: npx tsx scripts/apply-skill.ts .claude/skills/add-voice-transcription
- Step 3: Add OPENAI_API_KEY to .env and sync: OPENAI_API_KEY=<your-key>; mkdir -p data/env && cp .env data/env/env; then run npm run build and restart NanoClaw
Best Practices
- Check .nanoclaw/state.yaml before applying to avoid re-applying a already-present voice-transcription skill.
- Ensure the agent sees transcripts formatted as [Voice: <transcript>] for quick readability.
- Follow the three-way merge guidance in modify/...intent.md when conflicts arise during whatsapp.ts and whatsapp.test.ts updates.
- Install and pin the OpenAI dependency and store OPENAI_API_KEY in .env, syncing to data/env/env.
- Run npm test and npm run build after applying to confirm all tests (including new voice tests) pass.
Example Use Cases
- A client sends a 30-second voice note; the agent receives the [Voice: ...] transcript and drafts a reply without needing to listen to audio.
- An agent uses the transcript to respond accurately when the original voice note was in a noisy environment.
- An OpenAI API key is added to the environment and validated, enabling Whisper transcription.
- During a skill update, the developer merges changes into src/channels/whatsapp.ts to handle isVoiceMessage and transcribeAudioMessage.
- Tests for the new transcription feature mock audio input and cover three scenarios to ensure reliability.