databricks-agent-skills 是做什么的？
用于 Databricks 功能与平台的代理技能集合。
用于 Databricks 功能与平台的代理技能集合。
该技能为 AI 代理（如 Claude Code、Cursor 或 Codex）提供了与 Databricks 平台和功能交互的能力。它包含一组预定义的工具和指令，使代理能够理解 Databricks 的工作区、集群、笔记本、作业和 SQL 仓库等核心概念。通过整合这些技能，开发者可以自动化 Databricks 上的数据工程、数据科学和机器学习工作流。该技能支持所有主流 AI 代理平台，并通过标准 API 与 Databricks 交互，从而简化了在 Databricks 环境中的任务执行。
npx skills add hiydavid/databricks-agent-skillsInstalled? Explore more 研究与数据分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
用于 Databricks 功能与平台的代理技能集合。
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.