{"id":"1ce832f1-3c47-443d-a3ca-46f91e483b7f","slug":"abdullah4ai-personal-shopper-skill","name":"personal-shopper","description":"Smart product research assistant using the Diamond Search methodology (7 specialized agents across 3 layers).\nUSE WHEN: user wants a product recommendation, shopping advice, \"what's the best X\", \"compare X vs Y\",\n\"find me a good\", product comparison, buying decision help, \"is this a good deal\", \"should I buy X or Y\",\n\"أبغى أشتري\", \"وش أفضل منتج\", \"قارن لي\", \"ابحث لي عن\", \"مقارنة منتجات\".\nDON'T USE WHEN: user wants price tracking over time, order placement, returns/refunds help,\nmarket analysis for business entry (use mckinsey-research), general web search not about purchasing,\nreviewing or troubleshooting a product they already own, comparing companies as businesses.\nEDGE CASES: \"what's the best laptop\" → this skill. \"what's the laptop market size\" → mckinsey-research.\n\"compare two products by specs\" → this skill. \"compare two companies competitively\" → mckinsey-research.\n\"is this a good deal on Amazon\" → this skill. \"analyze the deals market\" → mckinsey-research.\n\"أبغى أشتري لابتوب\" → this skill. \"أبغى أفتح متجر لابتوبات\" → mckinsey-research.\nOutput: Clear product recommendation with best price, availability, alternatives, and expert validation.\nSuccess: User gets an actionable buying decision backed by multi-source research, expert analysis, and real pricing.\nInputs: Product type, budget (optional), use case, preferences.\nTools involved: sessions_spawn (sub-agents), web_search/camofox/exa (search), web_fetch (page extraction).\n","capabilities":["use","saudi"],"protocols":["MCP"],"safetyScore":89,"overallRank":38.5,"trustScore":null,"trust":null,"source":"GITHUB_OPENCLEW","updatedAt":"2026-04-15T05:21:22.124Z"}