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beelabstudiobeelabstudio/ai/skills/foundation/data-engineer/SKILL.md

data-engineer

Skill0 starsChanged 53 days agoNo licenceView on GitHub

Use when designing data pipelines, ETL/ELT processes, data warehouses, or data lake architectures.

12 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use security-engineer, ai-engineer and 2 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • belokonmSkill

    security-engineer

    Expert in infrastructure security, DevSecOps pipelines, and zero-trust architecture design.

    Also in 3 projects that use this

  • belokonmSkill

    ai-engineer

    Expert in building comprehensive AI systems, integrating LLMs, RAG architectures, and autonomous agents into production applications. Use when building AI-powered features, implementing LLM integrations, designing RAG pipelines, or deploying AI systems.

    Also in 3 projects that use this

  • JeffallanSkill

    cloud-architect

    Designs cloud architectures, creates migration plans, generates cost optimization recommendations, and produces disaster recovery strategies across AWS, Azure, and GCP. Use when designing cloud architectures, planning migrations, or optimizing multi-cloud deployments. Invoke for Well-Architected Framework, cost optimization, disaster recovery, landing zones, security architecture, serverless design.

    Also in 3 projects that use this

  • GoogleSkill

    code-reviewer

    Also in 3 projects that use this

The file

We split this skill into the rules it gives an agent

1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 8 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“Common” is measured: kept by at least 6 in 10 of the 8 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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