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databricks-unity-catalogdatabricks Unity catalog 工具

Agent Skill

用于辅助数据整理、表格处理、CSV/Excel 分析、指标计算和图表准备。它适合让 Agent 清洗字段、汇总数据、发现异常、生成统计口径或把分析结果转成可读说明。使用时需要确认数据来源、字段含义和时间范围,避免把样本数据当全量事实;涉及敏感数据、导出文件或批量写回时,应先确认权限和脱敏边界。

总安装

470

周安装

20

GitHub Stars

1,289

下载量

165
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:databricks-unity-catalog(databricks Unity catalog 工具)
来源仓库:https://github.com/databricks-solutions/ai-dev-kit
仓库路径:skills/databricks-unity-catalog
安装命令:
npx skills add https://github.com/databricks-solutions/ai-dev-kit --skill databricks-unity-catalog
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/databricks-solutions/ai-dev-kit --skill databricks-unity-catalog

简介

管理 volumes、审计 lineage 与监控 billing/compute 指标。

  • 支持 volumes 文件操作、列级血缘分析与权限变更追踪。
  • 适用于数据治理、成本分析与资源使用优化决策。
  • 需 workspace 启用 Unity Catalog 并授予相应系统表读取权限。
  • databricks-unity-catalog 属于待分类类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Unity Catalog

Guidance for Unity Catalog system tables, volumes, and governance.

When to Use This Skill

Use this skill when:

  • Working with volumes (upload, download, list files in /Volumes/)
  • Querying lineage (table dependencies, column-level lineage)
  • Analyzing audit logs (who accessed what, permission changes)
  • Monitoring billing and usage (DBU consumption, cost analysis)
  • Tracking compute resources (cluster usage, warehouse metrics)
  • Reviewing job execution (run history, success rates, failures)
  • Analyzing query performance (slow queries, warehouse utilization)
  • Profiling data quality (data profiling, drift detection, metric tables)

Reference Files

TopicFileDescription
System Tables5-system-tables.mdLineage, audit, billing, compute, jobs, query history
Volumes6-volumes.mdVolume file operations, permissions, best practices
Data Profiling7-data-profiling.mdData profiling, drift detection, profile metrics

Quick Start

Volume File Operations (MCP Tools)

ToolUsage
list_volume_fileslist_volume_files(volume_path="/Volumes/catalog/schema/volume/path/")
get_volume_folder_detailsget_volume_folder_details(volume_path="catalog/schema/volume/path", format="parquet") - schema, row counts, stats
upload_to_volumeupload_to_volume(local_path="/tmp/data/*", volume_path="/Volumes/.../dest")
download_from_volumedownload_from_volume(volume_path="/Volumes/.../file.csv", local_path="/tmp/file.csv")
create_volume_directorycreate_volume_directory(volume_path="/Volumes/.../new_folder")

Enable System Tables Access

-- Grant access to system tables
GRANT USE CATALOG ON CATALOG system TO `data_engineers`;
GRANT USE SCHEMA ON SCHEMA system.access TO `data_engineers`;
GRANT SELECT ON SCHEMA system.access TO `data_engineers`;

Common Queries

-- Table lineage: What tables feed into this table?
SELECT source_table_full_name, source_column_name
FROM system.access.table_lineage
WHERE target_table_full_name = 'catalog.schema.table'
  AND event_date >= current_date() - 7;

-- Audit: Recent permission changes
SELECT event_time, user_identity.email, action_name, request_params
FROM system.access.audit
WHERE action_name LIKE '%GRANT%' OR action_name LIKE '%REVOKE%'
ORDER BY event_time DESC
LIMIT 100;

-- Billing: DBU usage by workspace
SELECT workspace_id, sku_name, SUM(usage_quantity) AS total_dbus
FROM system.billing.usage
WHERE usage_date >= current_date() - 30
GROUP BY workspace_id, sku_name;

MCP Tool Integration

Use mcp__databricks__execute_sql for system table queries:

# Query lineage
mcp__databricks__execute_sql(
    sql_query="""
        SELECT source_table_full_name, target_table_full_name
        FROM system.access.table_lineage
        WHERE event_date >= current_date() - 7
    """,
    catalog="system"
)

Best Practices

  1. Filter by date - System tables can be large; always use date filters
  2. Use appropriate retention - Check your workspace's retention settings
  3. Grant minimal access - System tables contain sensitive metadata
  4. Schedule reports - Create scheduled queries for regular monitoring

Related Skills

Resources

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.23%
按下载量换算58

Claude

30.64%
按下载量换算51

Cursor

17.94%
按下载量换算30

Gemini CLI

10.42%
按下载量换算17

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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