📋 Streaming Data
This skill helps you design and implement real-time streaming pipelines with Kafka, Pulsar, Flink, and Spark across languages.
npx playbooks add skill ancoleman/ai-design-components --skill streaming-data
About Streaming Data
This skill helps you design and implement real-time streaming pipelines with Kafka, Pulsar, Flink, and Spark across languages.
The 18-word prompt provides structured developer workflow guidance — covering detailed methodology and consistent output formats. Install it in one command.
Use Cases
- Streamlining git workflows and commit conventions
- Setting up CI/CD pipelines and deployment scripts
- Managing monorepos and multi-package projects
- Automating release notes and changelogs
Example Prompts
System Prompt (18 words)
This skill helps you design and implement real-time streaming pipelines with Kafka, Pulsar, Flink, and Spark across languages.
Frequently Asked Questions
What is Streaming Data?
Streaming Data is a free developer workflow skill for AI coding agents. This skill helps you design and implement real-time streaming pipelines with Kafka, Pulsar, Flink, and Spark across languages.. It provides a specialized system prompt that configures your agent with developer workflow expertise.
How do I use Streaming Data with Claude Code?
Run npx playbooks add skill ancoleman/ai-design-components --skill streaming-data in your terminal to install Streaming Data into your Claude Code session. It works immediately after installation.
Which AI coding agents work with Streaming Data?
Streaming Data is compatible with Claude Code, Cursor, GitHub Copilot, Windsurf, OpenClaw, Cline, and any AI agent that supports custom system prompts or .cursorrules files.
Is Streaming Data free to use?
Yes, Streaming Data is completely free and open source. The full source is available on GitHub at https://github.com/ancoleman/ai-design-components/tree/main/skills/streaming-data. You only need a subscription to the AI agent you use it with.
