Hebrew Voice Bot Builder
Verified90/100Build Hebrew voice bots and IVR systems with speech-to-text, text-to-speech, and telephony integration for Israeli businesses. Covers OpenAI Whisper Hebrew, Google Cloud STT/TTS, Azure Speech, ElevenLabs, IVR menu design for Sunday-Thursday hours, voicemail transcription, accent handling, and +972 phone integration. Do NOT use for text-based chatbots (use hebrew-chatbot-builder) or Hebrew NLP without voice (use hebrew-nlp-toolkit).
Trust score 90/100 (Verified) · 242+ installs · 4 GitHub contributors · MIT license
Building voice-based systems that understand and speak Hebrew is technically challenging due to limited Hebrew voice models, accent diversity, and the need for proper IVR design adapted to Israeli business culture.
How to use this skill
Not sure how? Read the guide- 1. Click "Download ZIP" to download the skill files.
- 2. Open Claude Desktop and go to Customize > Skills.
- 3. Click "+" and select "Upload a skill", then upload the ZIP file.
- 4. Start a new conversation. The skill will activate automatically when relevant.
Developers? Install via command line (CLI)
npx skills-il add skills-il/developer-tools@v1.2.1-hebrew-voice-bot-builder --skill hebrew-voice-bot-builder -a claude-codeWhen to Apply
- When building a Hebrew IVR phone system
- When adding voice capabilities to a Hebrew chatbot
- When transcribing Hebrew voicemails
- When building a voice assistant for Israeli businesses
- When handling mixed Hebrew-English speech
Try These Prompts
Set up a Hebrew speech-to-text (STT) pipeline. Compare available models (Whisper, Google Cloud Speech, Azure), optimize for Israeli terminology and phone numbers, and add handling for diverse accents.
Design a Hebrew IVR menu for a [business type] with [number] departments. Include a greeting, main menu, and sub-menus. Ensure natural-sounding Hebrew (not robotic), professional business language, and an option to return to the main menu.
Build an automated Hebrew voicemail transcription pipeline. Include speech recognition, punctuation, name and phone number detection, and automatic message summarization. Handle mixed Hebrew-English messages.
Set up Twilio integration with Hebrew speech recognition and text-to-speech. Include purchasing an Israeli phone number, configuring a webhook for incoming calls, connecting to a Hebrew STT model, and setting up TTS with a natural Hebrew voice.
Frequently Asked Questions
Changelog
Accuracy fixes: removed Amazon Polly (no Hebrew support, the code sample would fail), updated the OpenAI Realtime model (gpt-4o-realtime removed, now gpt-realtime), and fixed a dead ElevenLabs link.
Jul 6, 2026
Restructured TTS guidance into two tracks: real-time / streaming (OpenAI Realtime API, Inworld TTS-1.5/Realtime-2, Israeli Deepdub Phantom X 3.2, ElevenLabs Flash v2.5) vs offline / max quality (eleven_v3). Documented that v3 has no WebSocket / streaming API.
May 19, 2026
Fixed TTS provider guidance: ElevenLabs eleven_v3 is now the default for Hebrew. Multilingual v2 is marked as fallback only, and Turbo / Flash v2.5 are no longer recommended for Hebrew-primary output.
May 18, 2026
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Convert between Hebrew (Jewish) calendar and Gregorian dates, look up Israeli holidays, format dual dates for Israeli documents, and calculate Israeli business days. Use when user asks about Hebrew dates, "luach ivri", Jewish calendar, Israeli holidays, "chagim", Shabbat times, or needs dual-date formatting for Israeli forms. Do NOT use for Islamic Hijri calendar or non-Israeli holiday calendars.
Benchmark and compare LLMs on Hebrew reasoning, comprehension, sentiment, translation, and Israeli cultural knowledge. Wraps the HuggingFace Open Hebrew LLM Leaderboard tasks (HeQ, HebrewSentiment, Hebrew Winograd, translation) plus DictaLM 3.0 benchmark tasks (Summarization, Nikud, Israeli Trivia) into a reproducible evaluation harness. Runs evals against Claude, GPT, Gemini, AI21 Jamba, DictaLM, Llama, and local HuggingFace models. Produces comparison scorecards in JSON and markdown. Use when choosing an LLM for a Hebrew product, answering procurement questions about Hebrew performance, validating a fine-tuned Hebrew model, or tracking Hebrew regressions after a model upgrade. Do NOT use for Arabic NLP, ASR benchmarking, or general English benchmarks.
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