smithery/jeremylongshore

kafka-stream-processor

Process kafka stream processor operations. Auto-activating skill for Data Pipelines. Triggers on: kafka stream processor, kafka stream processor Part of the Data Pipelines skill category. Use when working with kafka stream processor functionality. Trigger with phrases like "kafka stream processor", "kafka processor", "kafka". '

Installation

$ npx skills add smithery/jeremylongshore --skill kafka-stream-processor

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Skill metadata

Parsed from SKILL.md frontmatter.

Version1.0.0
LicenseMIT
CompatibilityDesigned for Claude Code
Allowed toolsRead, Write, Edit, Bash(cmd:*), Grep
Declared agents claude-code

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,289 B
  • docs SUMMARY.md 359 B

History

  1. First recorded snapshot · 0 installs

SKILL.md

Kafka Stream Processor

Overview

This skill provides automated assistance for kafka stream processor tasks within the Data Pipelines domain.

When to Use

This skill activates automatically when you:

  • Mention "kafka stream processor" in your request
  • Ask about kafka stream processor 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 kafka stream processor
  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 kafka stream processor" 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

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

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