spring-cloud-data-flow

Manage Spring Cloud Data Flow streams and tasks across local and Kubernetes runtimes.

Updated Apr 9, 2026
One-click install
npx skills add https://github.com/ririnto/sinon --skill spring-cloud-data-flow
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: spring-cloud-data-flow
Source: https://github.com/ririnto/sinon/tree/main/plugins/spring/skills/spring-cloud-data-flow
Command: npx skills add https://github.com/ririnto/sinon --skill spring-cloud-data-flow

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill helps operators maintain, deploy, and run Spring Cloud Data Flow streams and tasks, covering app registration, stream DSLs, task launches, schedules, and platform accounts to ensure reliable orchestration.

Core Features & Use Cases

  • Deployment and lifecycle: manage registration, deployment, monitoring, and runtime checks for streams and tasks.
  • Topology and schedules: define streams and scheduled tasks, and handle platform accounts for execution.
  • Operational guidance: provides step-by-step procedures for common SCDF workflows, troubleshooting, and maintenance examples.

Quick Start

Register an app and deploy a simple stream to verify the SCDF environment.

Frequently Asked Questions about spring-cloud-data-flow

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I deploy streams and tasks in Spring Cloud Data Flow?

To deploy streams and tasks in Spring Cloud Data Flow, you register the necessary apps, define the stream DSL, and launch the task or schedule it across your configured local or Kubernetes platform accounts.

What is the best way to manage app registration for SCDF streams?

The best way to manage app registration for SCDF streams is to follow operational best practices by registering apps with the platform and performing runtime verification to ensure reliable orchestration across your execution environment.

Can I use Spring Cloud Data Flow tasks on a Kubernetes runtime?

Yes, you can use Spring Cloud Data Flow tasks on a Kubernetes runtime. The platform supports managing SCDF estates, including task launches and schedules, across both local and Kubernetes platform accounts.

How does stream DSL definition work for task scheduling?

Stream DSL definition allows you to define data pipelines, while task scheduling handles the execution of those tasks. You configure schedules and platform accounts to manage the operational lifecycle and topology.

Why do I need platform accounts to launch SCDF tasks?

You need platform accounts to launch SCDF tasks because they provide the execution environment and topology management required to run streams and scheduled tasks reliably across different runtimes like local and Kubernetes environments.