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Prefect Flow Builder

  • 91 installs
  • 2.6k repo stars
  • Updated August 5, 2026
  • jeremylongshore/claude-code-plugins-plus-skills

Builds Prefect flows to orchestrate and schedule data pipeline tasks.

About

Constructs Prefect flows for orchestrating data pipelines. A developer uses it when scheduling and coordinating pipeline tasks.

  • Auto-activates on prefect flow requests
  • Part of the Data Pipelines category

Prefect Flow Builder by the numbers

  • 91 all-time installs (skills.sh)
  • +1 installs in the week ending Aug 2, 2026 (Skillselion tracking)
  • Ranked #853 of 2,064 Data Science & ML skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skills --skill prefect-flow-builder

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Listed on Skillselion
Installs91
repo stars2.6k
Last updatedAugust 5, 2026
Repositoryjeremylongshore/claude-code-plugins-plus-skills

What it does

Builds Prefect flows to orchestrate and schedule data pipeline tasks.

Files

SKILL.mdMarkdownGitHub ↗

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

Related skills

Data Science & MLpipelinesetl

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