Interactive workflow for creating new skills for the skills-il organization -- guides through category selection, use case definition, folder scaffolding, YAML frontmatter generation with bilingual metadata, instruction writing, Hebrew companion creation, and validation. Use when user asks to "create a new skill", "scaffold a skill for skills-il", "write a SKILL.md", "contribute a skill", "new skill template", or "liztor skill chadash". Do NOT use for editing existing skills or creating skills for non-skills-il platforms.
Trust score 91/100 (Verified) · 137+ installs · 3 GitHub contributors · MIT license
Creating a new skill for the skills-il platform requires strict adherence to a specific format: SKILL.md and SKILL_HE.md files with valid frontmatter, a metadata.json with all required fields, and high-quality bilingual content. Without a structured workflow, new contributors waste time on trial and error, and content that doesn't meet the standard gets rejected in review.
npx skills-il add skills-il/developer-tools --skill skills-il-skill-creator -a claude-codeI want to create a new skill for working with Israeli APIs. Please guide me through the process of defining SKILL.md, including name, description, tags, and install command.
I wrote a new skill and want to make sure it meets skills-il requirements before submitting. What are the quality and trustworthiness criteria?
My skill is ready. What is the PR process for the skills-il org and how long does approval take?
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.