[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fD95647zpMPspJL7xZQpdudW9GEawHmHGgePLb3chVmU":3,"skill-database-designer":16},{"siteName":4,"siteDescription":5,"siteUrl":6,"contactEmail":7,"socialLinks":8,"analyticsCode":10,"seo":11},"AllAI App","Call 500+ AI models through one compliant API KEY. Discover 35,000+ AI tools across 21 categories. Compare, test all ai app in one platform.","https:\u002F\u002Fallaiapp.com","contact@allaiapp.com",{"twitter":9,"github":9,"discord":9,"linkedin":9,"youtube":9},"","\u003C!-- Google tag (gtag.js) -->\n\u003Cscript async src=\"https:\u002F\u002Fwww.googletagmanager.com\u002Fgtag\u002Fjs?id=G-3NJE4SY4LE\">\u003C\u002Fscript>\n\u003Cscript>\n  window.dataLayer = window.dataLayer || [];\n  function gtag(){dataLayer.push(arguments);}\n  gtag('js', new Date());\n\n  gtag('config', 'G-3NJE4SY4LE');\n\u003C\u002Fscript>\n\u003C!-- Baidu Tongji (hm.js) -->\n\u003Cscript>\nvar _hmt = _hmt || [];\n(function() {\n  var hm = document.createElement(\"script\");\n  hm.src = \"https:\u002F\u002Fhm.baidu.com\u002Fhm.js?ee51358c8d4491dea1125cfc1d47a169\";\n  var s = document.getElementsByTagName(\"script\")[0];\n  s.parentNode.insertBefore(hm, s);\n})();\n\u003C\u002Fscript>",{"titleTemplate":12,"metaKeywords":13,"ogImage":14,"twitterSite":9,"defaultRobots":15,"googleVerify":9,"bingVerify":9,"baiduVerify":9,"organizationLogo":14},"%s | AllAI App","AI KEY,AI API KEY,Deepseek Key,Chatgpt Key,OpenAi Key,AI tools, AI directory, AI API gateway, AI models, artificial intelligence,","https:\u002F\u002Fallaiapp.com\u002Fog-image.png","index, follow",{"skill":17,"related":58,"inPacks":83},{"slug":18,"name":19,"author":20,"repo":21,"category":22,"tags":23,"description":29,"descriptionZh":30,"installs":31,"stars":32,"rating":33,"securityGrade":34,"compatibleAgents":35,"installCommand":46,"icon":47,"accent":48,"updatedAt":49,"systemPrompt":50,"exampleInput":51,"exampleInputZh":52,"permissions":53},"database-designer","Database Designer","Community","community\u002Fdata-skills","data",[24,25,26,27,28],"database","schema","PostgreSQL","indexing","normalization","Design normalized database schemas with indexes, constraints, migrations, and ER diagrams.","设计规范化数据库schema，包含索引、约束、迁移和ER图。",25000,1400,4.7,"A",[36,37,38,39,40,41,42,43,44,45],"Claude Code","Cursor","GitHub Copilot","OpenAI Codex","Gemini CLI","Windsurf","Goose","OpenCode","Cline","Roo Code","npx skills add community\u002Fdatabase-designer","🗄️","#336791","2026-07-08","You design database schemas:\n1. Start with entities and relationships from requirements\n2. Normalize to 3NF, denormalize intentionally for performance\n3. Choose appropriate types (UUID vs serial, JSONB vs columns)\n4. Add constraints: NOT NULL, UNIQUE, CHECK, foreign keys\n5. Create indexes for query patterns (include covering indexes)\n6. Write migrations with up\u002Fdown rollback\n7. Consider multi-tenancy strategy\n8. Generate ERD in Mermaid syntax\nDocument assumptions and trade-offs.","Design a PostgreSQL schema for a multi-tenant SaaS CRM with contacts, companies, deals, activities, and custom fields.","为多租户SaaS CRM设计PostgreSQL schema，包含联系人、公司、交易、活动和自定义字段。",[54],{"type":55,"scope":56,"risk":57},"filesystem","Reads\u002Fwrites schema files","low",[59,69,76],{"slug":60,"name":61,"author":62,"description":63,"descriptionZh":64,"icon":65,"accent":66,"installs":67,"rating":68},"xlsx","XLSX","Anthropic","Create and edit Excel spreadsheets with formulas, formatting, pivot tables, and data visualization.","创建和编辑Excel表格，支持公式、格式化、数据透视表和数据可视化。","📊","#10B981",76000,4.8,{"slug":70,"name":71,"author":20,"description":72,"descriptionZh":73,"icon":74,"accent":48,"installs":75,"rating":68},"sql-query-builder","SQL Query Builder","Write optimized SQL queries, complex joins, window functions, CTEs, and explain query plans.","编写优化的SQL查询、复杂连接、窗口函数、CTE，并解释查询计划。","🗃️",53000,{"slug":77,"name":78,"author":20,"description":79,"descriptionZh":80,"icon":65,"accent":81,"installs":82,"rating":68},"data-analysis-expert","Data Analysis Expert","Analyze CSV\u002FExcel data with pandas, generate insights, statistical tests, and publication-quality visualizations.","用pandas分析CSV\u002FExcel数据，生成洞察、统计检验和出版级可视化图表。","#3B82F6",47000,[84],{"slug":85,"name":86,"nameZh":87,"icon":65,"accent":81},"data-researcher","Data Researcher Pack","数据研究套装"]