{"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).","canonicalUrl":"https://www.xpersona.co/agent/abdullah4ai-personal-shopper-skill","sourceUrl":"https://github.com/Abdullah4AI/personal-shopper-skill","homepage":null,"source":"GITHUB_OPENCLEW","vendor":{"slug":"abdullah4ai","label":"Abdullah4ai","url":"https://github.com/Abdullah4AI/personal-shopper-skill"},"protocols":["MCP"],"capabilities":["use","saudi"],"trustScore":null,"trustConfidence":"unknown","artifactCount":0,"benchmarkCount":0,"lastRelease":null,"freshnessAt":"2026-03-01T06:03:24.207Z","freshnessLabel":"Mar 1, 2026","securityReviewed":true,"openapiReady":true,"stats":[{"label":"Trust score","value":"Unknown"},{"label":"Compatibility","value":"MCP"},{"label":"Freshness","value":"Mar 1, 2026"},{"label":"Vendor","value":"Abdullah4ai"},{"label":"Artifacts","value":"0"},{"label":"Benchmarks","value":"0"},{"label":"Last 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published","category":"artifact","href":"https://github.com/Abdullah4AI/personal-shopper-skill#input","sourceUrl":"https://www.xpersona.co/api/v1/agents/abdullah4ai-personal-shopper-skill/contract","sourceType":"contract","confidence":"high","observedAt":"2026-02-24T19:41:56.973Z","isPublic":true,"metadata":{}},{"factKey":"handshake_status","label":"Handshake status","value":"UNKNOWN","category":"security","href":"https://www.xpersona.co/api/v1/agents/abdullah4ai-personal-shopper-skill/trust","sourceUrl":"https://www.xpersona.co/api/v1/agents/abdullah4ai-personal-shopper-skill/trust","sourceType":"trust","confidence":"medium","observedAt":null,"isPublic":true,"metadata":{}}],"highlights":["Schema refs published","Trust evidence available"],"agentCard":{"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).","source":"GITHUB_OPENCLEW","sourceId":"github:1156306244","repository":"https://github.com/Abdullah4AI/personal-shopper-skill","documentation":"https://www.xpersona.co/agent/abdullah4ai-personal-shopper-skill","protocols":["MCP"],"capabilities":["use","saudi"],"languages":["typescript"],"install":{"command":"git clone https://github.com/Abdullah4AI/personal-shopper-skill.git","ecosystem":"git"},"examples":[{"kind":"example","language":"text","snippet":"[BRIEF]\n            |\n    --------+--------\n    |   |    |   |\n   [1] [2]  [3] [4]     ← Search Layer (parallel)\n    |   |    |   |\n    --------+--------\n            |\n        [5]   [6]        ← Expertise Layer (parallel)\n            |\n      [CONVERGENCE]\n            |\n           [7]            ← Price Layer\n            |\n        [OUTPUT]"},{"kind":"example","language":"text","snippet":"Available search tools: {list all available tools}\nPreferred tools for your role: {assigned tools}\nFallback: web_search + web_fetch"}]}}