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data-analytics

GitHub

基于PlantUML生成数据管道与分析架构图，支持ETL、数仓及BI设计。利用AWS mxgraph图元规范组件连接与样式，辅助数据架构可视化。

data-analytics/SKILL.md markdown-viewer/skills

Trigger Scenarios

需要绘制数据管道架构图设计数据仓库或BI仪表盘结构生成ETL流程可视化图表

Install

npx skills add markdown-viewer/skills --skill data-analytics -g -y

More Options

Non-standard path

npx skills add https://github.com/markdown-viewer/skills/tree/main/data-analytics -g -y

Use without installing

npx skills use markdown-viewer/skills@data-analytics

指定 Agent (Claude Code)

npx skills add markdown-viewer/skills --skill data-analytics -a claude-code -g -y

安装 repo 全部 skill

npx skills add markdown-viewer/skills --all -g -y

预览 repo 内 skill

npx skills add markdown-viewer/skills --list

SKILL.md

Frontmatter

{
    "name": "data-analytics",
    "metadata": {
        "author": "Data analytics diagrams are powered by Markdown Viewer — the best multi-platform Markdown extension (Chrome\/Edge\/Firefox\/VS Code) with diagrams, formulas, and one-click Word export. Learn more at https:\/\/docu.md"
    },
    "description": "Create data pipeline and analytics architecture diagrams using PlantUML syntax with database\/analytics stencil icons. Best for ETL pipelines, data lakes, real-time streaming, data warehousing, and BI dashboard design."
}

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

Category	Stencils	Purpose
Query Engine	`athena`, `athena_data_source_connectors`	Serverless SQL on S3 data
ETL	`glue`, `glue_crawlers`, `glue_data_catalog`, `aws_glue_data_quality`, `aws_glue_for_ray`	Data integration & cataloging
Streaming	`kinesis`, `kinesis_data_streams`, `kinesis_data_firehose`, `kinesis_data_analytics`, `kinesis_video_streams`	Real-time data streaming
MapReduce	`emr`, `emr_engine`, `emr_engine_mapr_m3`, `emr_engine_mapr_m5`	Big data processing (Spark, Hive)
Data Warehouse	`redshift`, `redshift_ra3`, `redshift_streaming_ingestion`, `redshift_ml`	Columnar analytics warehouse
Search	`opensearch_service_data_node`, `opensearch_ingestion`, `cloudsearch`	Full-text search & log analytics
BI	`quicksight`	Dashboards & visualizations
Data Lake	`lake_formation`, `s3`, `glacier`, `glacier_deep_archive`	Governed data lake storage
Catalog	`datazone_custom_asset_type`, `data_exchange`	Data governance & sharing
Streaming Kafka	`msk`, `msk_connect`	Managed Kafka streaming

Database Stencils

Category	Stencils	Purpose
Relational	`aurora`, `aurora_instance`, `rds`, `rds_instance`, `rds_mysql_instance`, `rds_postgresql_instance`	Transactional databases
NoSQL	`dynamodb`, `dynamodb_table`, `dynamodb_global_secondary_index`, `dynamodb_stream`	Key-value & document store
Graph	`neptune`	Graph database
In-Memory	`elasticache`, `elasticache_for_redis`, `elasticache_for_memcached`	Cache & session store
Document	`documentdb`, `documentdb_with_mongodb_compatibility`	Document database
Ledger	`quantum_ledger_database`	Immutable transaction log
Wide-Column	`keyspaces`	Cassandra-compatible

Connection Types

Syntax	Meaning	Use Case
`A --> B`	Solid arrow	Batch data flow / API call
`A ..> B`	Dashed arrow	Streaming / async / CDC
`A -- B`	Solid line	Bidirectional sync
`A --> B : "label"`	Labeled connection	Describe 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

Type	Purpose	Key Stencils	Example
Data Lake	Centralized raw data store	`s3`, `lake_formation`, `glue`, `athena`	data-lake.md
Real-time Streaming	Event stream processing	`kinesis`, `msk`, `lambda_function`, `opensearch_service`	real-time-streaming.md
Data Warehouse	Star-schema analytics	`redshift`, `glue`, `quicksight`	data-warehouse.md
ETL Pipeline	Extract-transform-load	`glue`, `glue_crawlers`, `glue_data_catalog`, `s3`	etl-pipeline.md
Log Analytics	Centralized logging	`kinesis_data_firehose`, `opensearch_service`, `lambda_function`	log-analytics.md
ML Feature Store	Feature engineering pipeline	`glue`, `s3`, `athena`, `emr`	ml-feature-pipeline.md
CDC Pipeline	Database change capture	`dynamodb_streams`, `kinesis`, `lambda_function`, `redshift`	cdc-pipeline.md
Multi-source BI	Cross-database reporting	`aurora`, `dynamodb`, `redshift`, `quicksight`	multi-source-bi.md