--- name: ops-voice description: Voice operations — make phone calls (Bland AI), text-to-speech (ElevenLabs), transcribe audio (Whisper/Groq). Replace OpenClaw voice capabilities. argument-hint: "[call|tts|transcribe|setup]" allowed-tools: - Bash - Read - Write - AskUserQuestion - WebFetch --- # OPS:VOICE — Voice Operations Voice interface commands. All API calls via curl — no SDK dependencies. **Credential resolution order:** userConfig → env vars → Doppler MCP tools (`mcp__doppler__*`) → Doppler CLI fallback (`doppler secrets get --plain`) → password manager --- ## Sub-commands Parse `$ARGUMENTS` for the command keyword, then execute: --- ### `call [phone] [prompt]` — Bland AI phone call **Requires:** `bland_ai_api_key` in userConfig or `BLAND_AI_API_KEY` env or Doppler. ```bash BLAND_KEY="${BLAND_AI_API_KEY:-$(doppler secrets get BLAND_AI_API_KEY --plain 2>/dev/null || true)}" PHONE="" PROMPT="" MAX_DURATION="${BLAND_MAX_DURATION:-300}" # seconds VOICE="${BLAND_VOICE:-male}" # Make the call RESPONSE=$(curl -s -X POST "https://api.bland.ai/v1/calls" \ -H "authorization: $BLAND_KEY" \ -H "Content-Type: application/json" \ -d "{ \"phone_number\": \"$PHONE\", \"task\": \"$PROMPT\", \"voice\": \"$VOICE\", \"max_duration\": $MAX_DURATION, \"record\": true }") CALL_ID=$(echo "$RESPONSE" | python3 -c "import json,sys; print(json.load(sys.stdin).get('call_id',''))" 2>/dev/null) # Poll for completion (up to 5 min) if [ -n "$CALL_ID" ]; then echo "Call initiated: $CALL_ID" for i in $(seq 1 30); do sleep 10 STATUS=$(curl -s "https://api.bland.ai/v1/calls/$CALL_ID" \ -H "authorization: $BLAND_KEY" | \ python3 -c "import json,sys; d=json.load(sys.stdin); print(d.get('status',''), d.get('transcripts','')[-1].get('text','') if d.get('transcripts') else '')" 2>/dev/null) echo "Status: $STATUS" [[ "$STATUS" == completed* ]] && break done fi ``` **Output:** Call ID, live status, transcript when complete. --- ### `tts [text] [--voice voice_id] [--out file.mp3]` — ElevenLabs text-to-speech **Requires:** `elevenlabs_api_key` in userConfig or `ELEVENLABS_API_KEY` env or Doppler. ```bash EL_KEY="${ELEVENLABS_API_KEY:-$(doppler secrets get ELEVENLABS_API_KEY --plain 2>/dev/null || true)}" VOICE_ID="${ELEVENLABS_VOICE_ID:-21m00Tcm4TlvDq8ikWAM}" # Rachel (default) TEXT="" OUT_FILE="${OUT_FILE:-/tmp/ops-tts-$(date +%s).mp3}" # List voices if voice name provided (not an ID) # Synthesize curl -s -X POST "https://api.elevenlabs.io/v1/text-to-speech/${VOICE_ID}" \ -H "xi-api-key: $EL_KEY" \ -H "Content-Type: application/json" \ -d "{ \"text\": \"$TEXT\", \"model_id\": \"eleven_monolingual_v1\", \"voice_settings\": {\"stability\": 0.5, \"similarity_boost\": 0.75} }" \ --output "$OUT_FILE" echo "Audio saved to: $OUT_FILE" # Auto-play on macOS command -v afplay &>/dev/null && afplay "$OUT_FILE" & ``` **Output:** Audio file path. Auto-plays on macOS via `afplay`. --- ### `transcribe [file_path]` — Groq Whisper transcription **Requires:** `groq_api_key` in userConfig or `GROQ_API_KEY` env or Doppler. ```bash GROQ_KEY="${GROQ_API_KEY:-$(doppler secrets get GROQ_API_KEY --plain 2>/dev/null || true)}" AUDIO_FILE="" if [ ! -f "$AUDIO_FILE" ]; then echo "ERROR: File not found: $AUDIO_FILE" exit 1 fi TRANSCRIPT=$(curl -s -X POST "https://api.groq.com/openai/v1/audio/transcriptions" \ -H "Authorization: Bearer $GROQ_KEY" \ -F "file=@$AUDIO_FILE" \ -F "model=whisper-large-v3" \ -F "response_format=json" | \ python3 -c "import json,sys; print(json.load(sys.stdin).get('text',''))" 2>/dev/null) echo "$TRANSCRIPT" ``` **Output:** Transcript text printed to stdout. --- ### `setup` — Configure voice API keys **Before asking for anything**, auto-scan ALL sources in a single background batch: ```bash # Env vars printenv BLAND_AI_API_KEY BLAND_API_KEY ELEVENLABS_API_KEY GROQ_API_KEY 2>/dev/null # Shell profiles grep -h 'BLAND\|ELEVENLABS\|GROQ' ~/.zshrc ~/.bashrc ~/.zprofile ~/.envrc 2>/dev/null | grep -v '^#' # Doppler — ALL projects for proj in $(doppler projects --json 2>/dev/null | jq -r '.[].slug'); do for cfg in dev stg prd; do doppler secrets --project "$proj" --config "$cfg" --json 2>/dev/null | \ jq -r --arg proj "$proj" --arg cfg "$cfg" 'to_entries[] | select(.key | test("BLAND|ELEVENLABS|GROQ"; "i")) | "\(.key)=\(.value.computed | .[0:12])... (doppler:\($proj)/\($cfg))"' done done # Dashlane dcli password bland --output json 2>/dev/null | jq -r '.[] | select(.password != null) | "\(.title): key found"' dcli password elevenlabs --output json 2>/dev/null | jq -r '.[] | select(.password != null) | "\(.title): key found"' dcli password groq --output json 2>/dev/null | jq -r '.[] | select(.password != null) | "\(.title): key found"' # Keychain security find-generic-password -s "bland-ai-api-key" -w 2>/dev/null security find-generic-password -s "elevenlabs-api-key" -w 2>/dev/null security find-generic-password -s "groq-api-key" -w 2>/dev/null ``` Present all findings. Only prompt for keys NOT found in any source. Then validate each found key in background: 1. **Bland AI**: `curl -s -H "authorization: $KEY" https://api.bland.ai/v1/me` — check balance 2. **ElevenLabs**: `curl -s -H "xi-api-key: $KEY" https://api.elevenlabs.io/v1/voices?page_size=1` — list voices 3. **Groq**: `curl -s -H "Authorization: Bearer $KEY" https://api.groq.com/openai/v1/models` — list models Report: `[service] ✓ connected` or `[service] ✗ invalid key — [error]` --- ## Execution 1. Resolve the sub-command from `$ARGUMENTS` (first word: call / tts / transcribe / setup) 2. Resolve credentials in order: env → Doppler 3. Execute the matching curl block above 4. If a required key is missing and `setup` was not invoked, suggest `/ops:ops-voice setup` --- Source attribution: davepoon Original project: https://github.com/davepoon/buildwithclaude/blob/a1103092fa571c032ae3e706433505ce0d6327bc/plugins/claude-ops/skills/ops-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) 2026 Lifecycle Innovations Limited 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: davepoon Original project: https://github.com/davepoon/buildwithclaude/blob/a1103092fa571c032ae3e706433505ce0d6327bc/plugins/claude-ops/skills/ops-voice/SKILL.md Attribution basis: Source repository record Fields of work: Sales, Customer Support Roles: Customer Success Manager, Sales Development Rep (SDR), Technical Support Specialties: API Tools: Elevenlabs, Groq, Whisper, Bland Ai Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: 5d7f799f5b54103d8f82ff97b53163eb92210898d5024273f32806d857de5c61