Validate, format, and convert Israeli phone numbers between local and international (+972) formats. Use when user asks to validate Israeli phone number, format phone for SMS, convert to +972, check phone prefix, or implement Israeli phone input validation in code. Handles mobile (050-058), landline (02-09), VoIP (072-077), toll-free (1-800), and star-service numbers. Do NOT use for non-Israeli phone systems or general telecom questions.
Trust score 97/100 (Verified) · 98+ installs · 3 GitHub contributors · MIT license
Israeli phone numbers come in a variety of formats: with a +972 prefix, with a leading 0, with or without hyphens, and sometimes without an area code altogether. When a system receives numbers from forms, Excel files, or APIs, format inconsistency causes duplicates, SMS delivery failures, and dialing errors. Without automatic normalization, every number requires manual handling.
npx skills-il add skills-il/developer-tools --skill israeli-phone-formatter -a claude-codeIs the number 052-345-6789 a valid Israeli phone number? If so, convert it to international format with the +972 prefix.
I have a list of phone numbers from Excel in various formats: 03-1234567, 0521234567, 972521234567. Please normalize them all to a consistent format.
Given the phone number 077-1234567, is this a mobile line, landline, or VoIP number? Which carrier is likely behind it?
Build full-stack apps on the Base44 platform using the JavaScript SDK. Covers CRUD operations, authentication, AI agents, backend functions, integrations, and real-time subscriptions.
Build Telegram bots with grammY, Telegraf, or python-telegram-bot. Covers Bot API v9.5 webhooks vs polling, inline keyboards, commands, middleware patterns, payments API, Mini Apps, and Hebrew message handling with RTL support. Use when building a Telegram bot, setting up webhooks, handling Hebrew messages in a bot, or integrating Telegram payments. Do NOT use for WhatsApp bots (use israeli-whatsapp-business), voice bots (use hebrew-voice-bot-builder), or general chatbot design patterns (use hebrew-chatbot-builder).
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.
Want to build your own skill? Try the Skill Creator · Submit a Skill