Data Systems Architecture

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by ratacat · vlatest · Repository

Designs scalable data pipelines and architectures integrating diverse sources for efficient analysis and reporting.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add data-systems-architecture npx -- -y @trustedskills/data-systems-architecture
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "data-systems-architecture": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/data-systems-architecture"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

This skill allows you to design and evaluate data systems architectures. It can help define components, identify dependencies, and propose solutions for scalability and reliability within a data infrastructure. The skill is capable of generating diagrams and documentation based on architectural specifications.

When to use it

  • Designing a new data warehouse: Get assistance in outlining the structure, components (e.g., ETL pipelines, data lakes), and technologies needed for a new data warehouse solution.
  • Troubleshooting performance bottlenecks: Analyze an existing data system architecture to identify potential bottlenecks and suggest improvements.
  • Planning for scalability: Determine how to scale a current data infrastructure to accommodate increasing data volumes and user demands.
  • Evaluating cloud migration options: Assess the architectural implications of migrating on-premise data systems to a cloud environment.

Key capabilities

  • Data system component identification
  • Dependency mapping
  • Scalability assessment
  • Reliability analysis
  • Diagram generation (implied)
  • Documentation creation (implied)

Example prompts

  • "Design a data architecture for processing clickstream data from our website."
  • "Analyze the current data warehouse architecture and identify potential bottlenecks."
  • "How can we scale our data lake to handle 10x more data?"

Tips & gotchas

The skill's output quality depends on the clarity and detail provided in your initial prompt. Providing existing system documentation or diagrams will improve results.

Tags

🛡️

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Details

Version
vlatest
License
Author
ratacat
Installs
20

🌐 Community

Passed automated security scans.