From jeremylongshore-claude-code-plugins-plus-skills
Guides building Prefect flows for data pipelines including ETL, workflow orchestration, and streaming data processing.
How this skill is triggered — by the user, by Claude, or both
Slash command
/jeremylongshore-claude-code-plugins-plus-skills:prefect-flow-builderThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
This skill provides automated assistance for prefect flow builder tasks within the Data Pipelines domain.
This skill provides automated assistance for prefect flow builder tasks within the Data Pipelines domain.
This skill activates automatically when you:
Example: Basic Usage Request: "Help me with prefect flow builder" Result: Provides step-by-step guidance and generates appropriate configurations
| Error | Cause | Solution |
|---|---|---|
| Configuration invalid | Missing required fields | Check documentation for required parameters |
| Tool not found | Dependency not installed | Install required tools per prerequisites |
| Permission denied | Insufficient access | Verify credentials and permissions |
Part of the Data Pipelines skill category. Tags: etl, airflow, spark, streaming, data-engineering
npx claudepluginhub jeremylongshore/claude-code-plugins-plus-skills --plugin j-rigGenerates Apache Airflow DAG configurations and code for data pipeline orchestration, ETL workflows, and streaming data processing.
Build agentic workflow pipelines in Python using Graflow, combining deterministic flow control with AI reasoning via Studio Agent and MCP tools.
Builds production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.