Data Lake Architecture

@sickn33

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todaydata # data # skill # ai

Modern data lake best practices.

What is Data Lake Architecture?

A powerful skill for data lake architecture that enhances your AI assistant's capabilities in data tasks.

How to use Data Lake Architecture?

Simply invoke this skill by asking your AI to perform a task related to data lake architecture.

Key features of Data Lake Architecture

✓Data Lake Architecture core logic
✓Advanced data patterns
✓Error prevention and recovery

Use cases of Data Lake Architecture

1Automating data lake architecture workflows
2Improving data performance
3Standardizing data lake architecture outputs

Installation

RecommendedOne-line install

git clone --depth 1 https://github.com/sickn33/antigravity-awesome-skills.git /tmp/ag-skills && mkdir -p ~/.agent/skills && cp -r /tmp/ag-skills/skills/data-lake-architecture ~/.agent/skills/ && rm -rf /tmp/ag-skills

▶Step-by-step install

Step 1: Create skills directory

mkdir -p ~/.agent/skills

Step 2: Clone the skills repository

git clone --depth 1 https://github.com/sickn33/antigravity-awesome-skills.git /tmp/ag-skills

Step 3: Copy this skill

cp -r /tmp/ag-skills/skills/data-lake-architecture ~/.agent/skills/

Step 4: Clean up temporary files

rm -rf /tmp/ag-skills

Supported Platforms

antigravityclaudecursor

Server Config

config.json

{
  "mcpServers": {
    "data-lake-architecture": {
      "command": "npx",
      "args": [
        "-y",
        "data-lake-architecture"
      ]
    }
  }
}

View on GitHub

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