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SkillHub ClubAnalyze Data & AIData / AITesting

data_lake

This skill provides guidelines for managing a structured data lake ecosystem, including environment setup, pipeline execution, authentication workflows, and data stewardship across multiple platforms.

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
1
Hot score
77
Updated
March 20, 2026
Overall rating
C0.9
Composite score
0.9
Best-practice grade
F0.0

Install command

npx @skill-hub/cli install blakedemarest-bedrot-data-ecosystem-data-lake
data-pipelineautomationenvironment-managementdata-stewardshiptesting

Repository

blakedemarest/bedrot-data-ecosystem

Skill path: data_lake

This skill provides guidelines for managing a structured data lake ecosystem, including environment setup, pipeline execution, authentication workflows, and data stewardship across multiple platforms.

Open repository

Best for

Primary workflow: Analyze Data & AI.

Technical facets: Data / AI, Testing.

Target audience: Data teams looking for install-ready agent workflows..

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: blakedemarest.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

  • Install data_lake into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/blakedemarest/bedrot-data-ecosystem before adding data_lake to shared team environments
  • Use data_lake for data workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.