claudecodex

agentic-bundle-aas-data-engineering-platform

Install the "AAS Data Engineering Platform" editorial skill bundle for Claude Code.

5 on GitHubby sickn33 and contributorsv16.9.0MITupdated 5 days agoupstream
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Plugin agentic-bundle-aas-data-engineering-platform from marketplace moaa in ahmadhammoud56/MOAA. Commands read from the repo's manifest — 5 days ago.

What it installs

Skills (10)

  • airflow-dag-patterns

    Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.

  • data-engineer

    Build scalable data pipelines, modern data warehouses, and real-time streaming architectures. Implements Apache Spark, dbt, Airflow, and cloud-native data platforms.

  • data-quality-frameworks

    Implement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rules, or establishing data contracts.

  • database-architect

    Expert database architect specializing in data layer design from scratch, technology selection, schema modeling, and scalable database architectures.

  • dbt-transformation-patterns

    Production-ready patterns for dbt (data build tool) including model organization, testing strategies, documentation, and incremental processing.

  • embedding-strategies

    Guide to selecting and optimizing embedding models for vector search applications.

  • postgres-best-practices

    Postgres performance optimization and best practices from Supabase. Use this skill when writing, reviewing, or optimizing Postgres queries, schema designs, or database configurations.

  • rag-engineer

    Expert in building Retrieval-Augmented Generation systems. Masters embedding models, vector databases, chunking strategies, and retrieval optimization for LLM applications.

  • sql-pro

    Master modern SQL with cloud-native databases, OLTP/OLAP optimization, and advanced query techniques. Expert in performance tuning, data modeling, and hybrid analytical systems.

  • vector-database-engineer

    Expert in vector databases, embedding strategies, and semantic search implementation. Masters Pinecone, Weaviate, Qdrant, Milvus, and pgvector for RAG applications, recommendation systems, and similar

View source on GitHub

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