looker-to-databricks-skill 是做什么的？
用于将Google Looker元数据迁移到Databricks AI/BI的Agent技能。
将Google Looker元数据迁移到Databricks AI/BI的Agent技能。
该技能专为AI Agent设计，旨在帮助用户将Google Looker中的元数据无缝迁移到Databricks AI/BI平台。通过自动提取Looker的模型、视图、探索和维度等元数据，并转换为Databricks兼容的格式，它简化了从传统BI工具到现代AI/BI环境的迁移过程。此技能支持Claude Code、Cursor等主流AI Agent平台，利用自然语言指令即可触发迁移任务，减少了手动工作量。其核心优势在于保留数据血缘和业务逻辑，确保迁移后的分析体验与原始Looker环境一致，同时充分利用Databricks的AI/BI能力进行高级分析和可视化。
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用于将Google Looker元数据迁移到Databricks AI/BI的Agent技能。
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.