Airflow plugins

Build production-ready data pipelines with Apache Airflow and dbt, manage scalable data warehouses, and implement vector search and RAG systems using embedding models and vector databases.

Guides data engineering projects through a structured Spec-Driven Development workflow with 58 specialized agents for pipeline design, schema modeling, SQL optimization, data quality, lakehouse architecture, and AI/ML infrastructure. Generates visual diagrams, HTML documentation, code reviews, and git-aware status reports.

Orchestrate full enterprise workflows by deploying 75 specialized AI agents across engineering, product, infrastructure, data, security, marketing, sales, finance, legal, and HR. Auto-routes tasks to domain experts, executes multi-agent pipelines with pre-built runbooks, handoff templates, QA gates, and escalations for end-to-end automation.

Orchestrates a multi-agent PR workflow with automated exploration, planning, implementation, review, and validation phases, plus strict code review, issue triage, and cross-session memory for conventions and preferences.