Manage media assets through Cloudinary's REST API -- upload, transform, optimize, and deliver images and videos. Use when user asks about image upload, media optimization, image transformations, responsive images, video management, CDN delivery, or mentions Cloudinary specifically. Covers Upload API, Admin API, URL-based transformations, and delivery optimization. Israeli-founded platform (Tel Aviv, 2012). Do NOT use for non-Cloudinary media hosting or local image processing without cloud upload.
Trust score 84/100 (Trusted) · 7+ installs · 3 GitHub contributors · MIT license
Managing images, videos, and media files in digital projects quickly becomes chaotic. Between optimizing for different sizes, converting formats, auto-cropping, and serving content from a CDN, developers spend significant time on repetitive tasks. Without a centralized tool, media assets scatter across services and image quality becomes inconsistent across platforms.
npx skills-il add skills-il/developer-tools --skill cloudinary-assets -a claude-codeI have 500 product images that I need to upload to Cloudinary, resize to 800x800 pixels, and add a watermark with my logo. What is the most efficient way to do this?
My website loads slowly due to heavy images. How do I use Cloudinary to automatically serve images in the correct size and WebP format for mobile devices?
I have a product video recorded with an unprofessional background. Can Cloudinary help me remove the background and replace it with a clean white color? What URL transformation do I need?
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.
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