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prefect-flow-builder

prefect-flow-builder

github.com/jeremylongshoreData & databases2.9k94 installsUpdated 2d ago
Repository

About prefect-flow-builder

A Data Pipelines skill that provides step-by-step help building Prefect flows, generating code and configurations, and checking outputs against common standards. It is intended for data pipeline work such as ETL and orchestration.

Key features

  1. 01Step-by-step Prefect flow guidance
  2. 02Best-practice patterns
  3. 03Code and configuration generation
  4. 04Output validation

Use cases

  1. 01Build a Prefect flow
  2. 02Plan ETL or transformation work
  3. 03Get data pipeline orchestration guidance

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/jeremylongshore/tons-of-skills-marketplace --skill prefect-flow-builder

After installing, type/prefect-flow-builderin Claude Code to confirm it loaded.

Details

From the project README

Prefect Flow Builder

Overview

This skill provides automated assistance for prefect flow builder tasks within the Data Pipelines domain.

When to Use

This skill activates automatically when you:

  • Mention "prefect flow builder" in your request
  • Ask about prefect flow builder patterns or best practices
  • Need help with data pipeline skills covering etl, data transformation, workflow orchestration, and streaming data processing.

Instructions

  1. Provides step-by-step guidance for prefect flow builder
  2. Follows industry best practices and patterns
  3. Generates production-ready code and configurations
  4. Validates outputs against common standards

Examples

Example: Basic Usage Request: "Help me with prefect flow builder" Result: Provides step-by-step guidance and generates appropriate configurations

Prerequisites

  • Relevant development environment configured
  • Access to necessary tools and services
  • Basic understanding of data pipelines concepts

Output

  • Generated configurations and code
  • Best practice recommendations
  • Validation results

Error Handling

ErrorCauseSolution
Configuration invalidMissing required fieldsCheck documentation for required parameters
Tool not foundDependency not installedInstall required tools per prerequisites
Permission deniedInsufficient accessVerify credentials and permissions

Resources

  • Official documentation for related tools
  • Best practices guides
  • Community examples and tutorials

Related Skills

Part of the Data Pipelines skill category. Tags: etl, airflow, spark, streaming, data-engineering

Comments

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