Que fait amazon-sellersprite-research-MCP-skill ?
亚马逊选品 之 Listing全维度穿透分析报告 加上 全品类分析 ，关键词分析，差评分析 ，市场调研 等等。OpenClaw /claude code agent skill, amazon sellersprite research MCP 智能体skill.基于 卖家精灵 MCP 服务和 Claude Skills 的亚马逊竞品分析工具集
亚马逊选品 之 Listing全维度穿透分析报告 加上 全品类分析 ，关键词分析，差评分析 ，市场调研 等等。OpenClaw /claude code agent skill, amazon sellersprite research MCP 智能体skill.基于 卖家精灵 MCP 服务和 Claude Skills 的亚马逊竞品分析工具集
amazon-sellersprite-research-MCP-skill is a Claude Code agent skill that 亚马逊选品 之 Listing全维度穿透分析报告 加上 全品类分析 ，关键词分析，差评分析 ，市场调研 等等。OpenClaw /claude code agent skill, amazon sellersprite research MCP 智能体skill.基于 卖家精灵 MCP 服务和 Claude Skills 的亚马逊竞品分析工具集.
npx skills add Ethan-paseya/amazon-sellersprite-research-MCP-skillInstalled? Explore more Recherche et analyse de données skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
亚马逊选品 之 Listing全维度穿透分析报告 加上 全品类分析 ，关键词分析，差评分析 ，市场调研 等等。OpenClaw /claude code agent skill, amazon sellersprite research MCP 智能体skill.基于 卖家精灵 MCP 服务和 Claude Skills 的亚马逊竞品分析工具集
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.