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data-analytics数据分析

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

33,264

周安装

1,424

GitHub Stars

2,294

下载量

11,648
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:data-analytics(数据分析)
来源仓库:https://github.com/markdown-viewer/skills
仓库路径:skills/data-analytics
安装命令:
npx skills add https://github.com/markdown-viewer/skills --skill data-analytics
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/markdown-viewer/skills --skill data-analytics

简介

快速生成 PlantUML 数据流程图,支持从数据源到可视化的端到端架构表达。

  • 适用于定义数据管道、声明 ETL 图标、连接存储与 BI 工具并生成渲染图表。
  • 自动应用默认颜色和方向,遵循 left-to-right 数据流规范。
  • 必须使用 ```plantuml 代码围栏,禁止使用 ```text 以确保正确渲染。
  • 需明确数据来源与处理逻辑,避免在非技术场景滥用图表语法。

SKILL.md

Data Analytics Diagram Generator

Quick Start: Define data sources → Declare ingestion/ETL icons → Connect to storage/warehouse → Add BI/visualization → Wrap in ``` `plantuml ``` fence.

⚠️ IMPORTANT: Always use ``` `plantuml `` or `` `puml `` code fence. NEVER use `` `text ``` — it will NOT render as a diagram.

Critical Rules

  • Every diagram starts with @startuml and ends with @enduml
  • Use left to right direction for data pipelines (Source → Ingest → Transform → Store → Visualize)
  • Use mxgraph.aws4.* stencil syntax for analytics, database, and storage icons
  • Default colors are applied automatically — you do NOT need to specify fillColor or strokeColor
  • Use rectangle "Zone" {...} or package "Layer" {...} for grouping pipeline stages
  • Directed flows use -->, async/streaming flows use ..> (dashed)

Full stencil reference: See stencils/README.md for 9500+ available icons.

Mxgraph Stencil Syntax

mxgraph.aws4.<icon> "Label" as <alias>

Analytics & ETL Stencils

CategoryStencilsPurpose
Query Engineathena, athena_data_source_connectorsServerless SQL on S3 data
ETLglue, glue_crawlers, glue_data_catalog, aws_glue_data_quality, aws_glue_for_rayData integration & cataloging
Streamingkinesis, kinesis_data_streams, kinesis_data_firehose, kinesis_data_analytics, kinesis_video_streamsReal-time data streaming
MapReduceemr, emr_engine, emr_engine_mapr_m3, emr_engine_mapr_m5Big data processing (Spark, Hive)
Data Warehouseredshift, redshift_ra3, redshift_streaming_ingestion, redshift_mlColumnar analytics warehouse
Searchopensearch_service_data_node, opensearch_ingestion, cloudsearchFull-text search & log analytics
BIquicksightDashboards & visualizations
Data Lakelake_formation, s3, glacier, glacier_deep_archiveGoverned data lake storage
Catalogdatazone_custom_asset_type, data_exchangeData governance & sharing
Streaming Kafkamsk, msk_connectManaged Kafka streaming

Database Stencils

CategoryStencilsPurpose
Relationalaurora, aurora_instance, rds, rds_instance, rds_mysql_instance, rds_postgresql_instanceTransactional databases
NoSQLdynamodb, dynamodb_table, dynamodb_global_secondary_index, dynamodb_streamKey-value & document store
GraphneptuneGraph database
In-Memoryelasticache, elasticache_for_redis, elasticache_for_memcachedCache & session store
Documentdocumentdb, documentdb_with_mongodb_compatibilityDocument database
Ledgerquantum_ledger_databaseImmutable transaction log
Wide-ColumnkeyspacesCassandra-compatible

Connection Types

SyntaxMeaningUse Case
A --> BSolid arrowBatch data flow / API call
A..> BDashed arrowStreaming / async / CDC
A -- BSolid lineBidirectional sync
A --> B: "label"Labeled connectionDescribe data format or volume

Quick Example

@startuml
left to right direction
mxgraph.aws4.s3 "Data Lake\n(S3)" as s3
mxgraph.aws4.glue "Glue\nETL" as glue
mxgraph.aws4.redshift "Redshift" as rs
mxgraph.aws4.quicksight "QuickSight" as qs

s3 --> glue
glue --> rs
rs --> qs
@enduml

Data Analytics Architecture Types

TypePurposeKey StencilsExample
Data LakeCentralized raw data stores3, lake_formation, glue, athenadata-lake.md
Real-time StreamingEvent stream processingkinesis, msk, lambda_function, opensearch_servicereal-time-streaming.md
Data WarehouseStar-schema analyticsredshift, glue, quicksightdata-warehouse.md
ETL PipelineExtract-transform-loadglue, glue_crawlers, glue_data_catalog, s3etl-pipeline.md
Log AnalyticsCentralized loggingkinesis_data_firehose, opensearch_service, lambda_functionlog-analytics.md
ML Feature StoreFeature engineering pipelineglue, s3, athena, emrml-feature-pipeline.md
CDC PipelineDatabase change capturedynamodb_streams, kinesis, lambda_function, redshiftcdc-pipeline.md
Multi-source BICross-database reportingaurora, dynamodb, redshift, quicksightmulti-source-bi.md

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

39.06%
按下载量换算4,550

Claude

28.77%
按下载量换算3,351

Cursor

19.27%
按下载量换算2,245

Gemini CLI

9.74%
按下载量换算1,135

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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