sendspark-automation
sendspark-automation
【开发与工程】Automate Sendspark tasks via Rube MCP (Composio). Always search tools first for current schemas.
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sendspark-automation
【开发与工程】Automate Sendspark tasks via Rube MCP (Composio). Always search tools first for current schemas.
data-engineer
【数据与研究】Build scalable data pipelines, modern data warehouses, and real-time streaming architectures. Implements Apache Spark, dbt, Airflow, and cloud-native data platforms.
data-engineer
【数据与研究】Build scalable data pipelines, modern data warehouses, and real-time streaming architectures. Implements Apache Spark, dbt, Airflow, and cloud-native data platforms.
scala-pro
【数据与研究】Master enterprise-grade Scala development with functional programming, distributed systems, and big data processing. Expert in Apache Pekko, Akka, Spark, ZIO/Cats Effect, and reactive architectures.
snowflake-development
【设计与创意】Comprehensive Snowflake development assistant covering SQL best practices, data pipeline design (Dynamic Tables, Streams, Tasks, Snowpipe), Cortex AI functions, Cortex Agents, Snowpark Python, dbt integration, performance tuning, and security hardening.
spark-optimization
【数据与研究】Optimize Apache Spark jobs with partitioning, caching, shuffle optimization, and memory tuning. Use when improving Spark performance, debugging slow jobs, or scaling data processing pipelines.
officecli-data-dashboard
【文档与办公】Use this skill to build a multi-element Excel dashboard — Dashboard sheet on open, multiple formula-driven KPI cards, multiple charts, sparklines, and conditional formatting — from CSV or tabular input. Trigger on: 'dashboard', 'KPI dashboard', 'analytics dashboard', 'executive dashboard', 'metrics dashboard', 'CSV to dashboard', 'data visualization'…
senior-data-engineer
【设计与创意】Data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data modeling, pipeline orchestration, data quality, and DataOps. Use when designing data architectures, building data pipelines, optimizing data workflows, implem…
snowflake-development
【数据与研究】Use when writing Snowflake SQL, building data pipelines with Dynamic Tables or Streams/Tasks, using Cortex AI functions, creating Cortex Agents, writing Snowpark Python, configuring dbt for Snowflake, or troubleshooting Snowflake errors.
lark-apps
【文档与办公】妙搭(Spark/Miaoda)应用开发与托管:应用创建、本地全栈开发、云端生成迭代、创意设计(UI mockup / 可交互原型 / 线框图 / 落地页 / 仪表盘 / 幻灯片 deck / 视觉探索)、AI相关能力和飞书平台能力或者其他外部能力集成、日志/Trace/监控指标/PV/UV 查询、环境变量管理、应用协作者与协作权限设置、应用角色与成员管理、自动化触发器(定时/记录变更/Webhook/飞书审批)。当用户要开发/新建一个系统·工具·平台·应用,或要本地开发 / 云端开发 / 修改 / 部署 / 发布 / 上线 / 拿可分享链接,或用 HTML 做页面·网站·部署到妙搭,或要设计 / design / mockup / prototype / wireframe / 做 PPT /…
release-mac-app
【开发与工程】macOS app release: Sparkle, notarization, GitHub Release, Homebrew, closeout.
data-lineage-mapper
【数据与研究】Extracts and maps data lineage from various sources including SQL, dbt, Airflow, and Spark, generating comprehensive lineage graphs for impact analysis.
spark-jobs
【部署与运维】Develop, optimize, and deploy Apache Spark jobs for large-scale batch processing, streaming, and machine learning workloads.
macos-sparkle-config
【开发与工程】Configure Sparkle framework for macOS auto-updates with appcast, delta updates, and code signing
databricks-migration
【数据与研究】Ports existing Databricks notebooks and jobs to Fabric, covering dbutils to notebookutils, secret scopes to Key Vault, DBFS to OneLake, Unity Catalog mapping to schema-enabled Lakehouses, Jobs and Delta Live Tables to Spark Job Definitions and Pipelines, and Photon to the Native Execution Engine. Use whenever Databricks code has to be converted. For …
dataflows-cli
【数据与研究】Manages Fabric Dataflow Gen2 items, including creation, M editing, connections, output destinations, getDefinition and updateDefinition inspection, executeQuery, refresh history, and Gen1-to-Gen2 save-as upgrades via saveAsNativeArtifact. Use for Dataflow items or Power Query M definitions. For pipeline JSON use pipeline-migration; for Spark or Wareh…
e2e-fabric-cost-estimation
【数据与研究】Estimates Fabric capacity cost before a migration by profiling Spark, SQL, Power BI, and Real-Time workloads, then recommending SKU size and comparing Reserved, Pay-As-You-Go, and Autoscale billing. Use only for capacity sizing and pricing questions, not for general migration or connectivity work.
e2e-medallion-architecture
【设计与创意】Plans and builds end-to-end Fabric data platforms on the Bronze, Silver, and Gold medallion pattern: ingestion to analytics, PySpark and Delta layers, pipeline orchestration, per-layer Spark tuning, Materialized Lake View versus notebook choices for Silver and Gold, and Direct Lake handoff. Use for layered architecture design, planning and recommenda…