genpark-購買研究-權衡分析技能 是做什麼的？
多產品購買研究的權衡與規格分析工具（Anthropic Shopping）
多產品購買研究的權衡與規格分析工具（Anthropic Shopping）
這項技能專為需要在多個產品之間做出購買決策的使用者設計，能自動化地進行深入的產品研究與權衡分析。它透過整合 Anthropic Shopping 的強大能力，讓 AI 代理可以同時比較多款產品的規格、價格、功能與優缺點，並以結構化的方式呈現分析結果。使用者只需提供感興趣的產品清單或搜尋條件，技能便能自動擷取最新資訊，產出包含對比表格、利弊清單與購買建議的報告。支援的平台包括 Claude Code 等支援 MCP 協定的 AI 代理工具，適合用於消費電子、家電、軟體服務等各類產品的選購研究。該技能的運作方式基於明確的 SKILL.md 文件定義，確保代理能遵循標準化的步驟執行研究與分析。
npx skills add alphaparkinc/genpark-purchase-research-tradeoff-analyzer-skillInstalled? Explore more 研究與資料分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
多產品購買研究的權衡與規格分析工具（Anthropic Shopping）
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.