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Data Systems Architecture

Checked
ratacat·vlatest·data

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

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add ratacat/claude-skills --skill data-systems-architecture -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

ratacat

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

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  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

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  • Pinned to a commit: passed

    Scanned ratacat/claude-skills at d4b471d05d.

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Commit
d4b471d05d
Manifest
skills/data-systems-architecture/SKILL.md
Scanned
8 files, 3,726 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

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.