looker-to-databricks-skill 是做什麼的？
代理技能，用於將 Google Looker 元數據遷移至 Databricks AI/BI
代理技能，用於將 Google Looker 元數據遷移至 Databricks AI/BI
此技能專為 AI 代理設計，可自動化將 Google Looker 的元數據遷移至 Databricks AI/BI 的過程。它能提取 Looker 中的維度、度量、過濾條件、資料夾結構及儀表板設定，並將其轉換為 Databricks AI/BI 相容的格式。支援平台包括執行 AI 代理的開發環境（如 Claude Code、Coder 或自訂代理框架），工作流程無需手動干預。透過保留商業邏輯與資料關係，此技能可顯著減少遷移時間與錯誤，讓資料團隊專注於進階分析。其獨立設計可無縫整合至現有代理工具鏈中，提升資料平台現代化的效率。
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代理技能，用於將 Google Looker 元數據遷移至 Databricks AI/BI
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.