جاك العلم

What can you do with this Skill?▾

Personal Shopper — multi-agent product/service research and recommendation for Saudi Arabia. USE WHEN: - User asks to find, compare, recommend, or buy a product or service - "what's the best X", "compare X vs Y", "find me a good X" - "أبغى أشتري", "وش أفضل", "قارن لي", "ابحث لي عن" - User asks "is this a good deal" or "should I buy X or Y" - Product comparison by specs, price, or value DON'T USE WHEN: - Market analysis for business entry → use mckinsey-research - Comparing companies as businesses (not products) → use mckinsey-research - Price tracking over time or deal alerts → not supported - Reviewing/troubleshooting a product they already own → answer directly - Simple factual question about a product ("how much RAM does iPhone have") → answer directly - Order placement, returns, or refunds → not supported EDGE CASES: - "أبغى أشتري لابتوب" → this skill - "أبغى أفتح متجر لابتوبات" → mckinsey-research (business, not purchase) - "وش أفضل شاشة" → this skill - "وش حجم سوق الشاشات" → mckinsey-research - "هل السعر هذا حلو على أمازون" → this skill - "حلل لي سوق التجارة الإلكترونية" → mckinsey-research - "قارن لي بين منتجين" → this skill - "قارن لي بين شركتين" → mckinsey-research INPUTS: Product type or name, budget (optional), use case (optional), preferences (optional) TOOLS: sessions_spawn (sub-agents), web_fetch, web_search, camofox_* (with strict limits per agent) OUTPUT: HTML report saved to shopping-reports/{date}-{slug}.html (Arabic, RTL, mobile-friendly) SUCCESS: User gets 3 ranked options with verified prices, source URLs, coupons, and a clear recommendation