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Data Engineering (Page 7 of 7)

371 Claude Code skills in the Data Engineering sub-category of Engineering.

371 skills · updated 2026-08-26 · showing 361–371 of 371 by quality score

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Helps DevOps engineers configure mirrord Operator's Kafka queue splitting feature end-to-end. Generates MirrordKafkaClientConfig and MirrordKafkaTopicsConsumer Kubernetes CRD…
Netlify API integration with managed OAuth. Deploy sites, manage builds, configure DNS, and handle environment variables.
Deploy and manage Netlify projects using Next.js with serverless functions, environment variables, and continuous deployment.
Design data pipelines covering ETL vs ELT architectures, data source integration, scheduling, quality checks, and warehouse design.
Write, review, and debug Topaz JavaScript scripts for EventService. Use this skill whenever the user mentions Topaz, EventService, KafkaEvent, HttpRequestEvent, or asks to…
Manage data objects through lifecycle states such as challenged, initiated and settled while keeping persistent, queryable snapshots of current operational data.
Use when designing, debugging, or discussing the data infrastructure for a legal-AI product. Covers ingestion pipelines, data warehousing (dbt, Snowflake, BigQuery, Postgres),…
Deploy and orchestrate hosted AI agents with Ash. Covers: creating an Ash client, deploying agents, managing sessions (create, pause, resume, end), sending messages, streaming SSE…
Create, modify, inspect, and validate STEP-first build123d/Python CAD parts and assemblies. Use for natural-language CAD specs, STEP/STP generation, build123d source, build123d…
Configure and operate the Neo4j Connector for Kafka (sink + source) and the
Netlify deployment, functions, forms, and edge handlers.
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