What is data-engineering-orchestration?
Pipeline orchestration and workflow management with Prefect, Dagster, and dbt. Covers scheduling, dependency management, retries, and integration patterns. Source: legout/data-platform-agent-skills.
Pipeline orchestration and workflow management with Prefect, Dagster, and dbt. Covers scheduling, dependency management, retries, and integration patterns.
Quickly install data-engineering-orchestration AI skill to your development environment via command line
Source: legout/data-platform-agent-skills.
Workflow orchestration tools for data pipelines: Prefect, Dagster, and dbt. These tools handle scheduling, dependency resolution, retries, monitoring, and state management for production data pipelines.
| Tool | Paradigm | Best For | Learning Curve |
| Prefect | Flow-based | Pythonic workflows, quick prototypes, cloud-first | Moderate | | Dagster | Asset-based | Data asset lineage, reproducibility, type checking | Steeper | | dbt | SQL transformations | Analytics engineering, ELT, data warehouses | Low (SQL-focused) |
Pipeline orchestration and workflow management with Prefect, Dagster, and dbt. Covers scheduling, dependency management, retries, and integration patterns. Source: legout/data-platform-agent-skills.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/legout/data-platform-agent-skills --skill data-engineering-orchestrationPipeline orchestration and workflow management with Prefect, Dagster, and dbt. Covers scheduling, dependency management, retries, and integration patterns. Source: legout/data-platform-agent-skills.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/legout/data-platform-agent-skills --skill data-engineering-orchestration Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/legout/data-platform-agent-skills