claude

org-data-analytics

Organizational role skills: data analytics

0 on GitHubMITupdated 13 days agoorganization
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Plugin org-data-analytics from marketplace dxta-skills in DxTa/claude-code-skills. Commands read from the repo's manifest — 5 days ago.

What it installs

Skills (6)

  • ai-ml-governance

    Assess whether a model or AI feature is appropriate for its intended use through consequence classification, representative evaluation, segment analysis, monitoring, human oversight, documentation, and retirement planning. Use before deploying or materially changing an AI system, when behavior drift

  • business-intelligence

    Build decision-oriented reports, metric trees, dashboards, and governed self-service analytics. Use when selecting measures, designing a dashboard, creating a reporting framework, exposing trusted datasets, or diagnosing unused or disputed reporting.

  • chief-data-officer

    Prepare an accountable data-function decision brief covering metric definitions, ownership, governance, platform, analytics capability, access, and model oversight. Use when teams disagree about numbers, when establishing data ownership or a semantic layer, or when deciding how data should be collec

  • data-engineering

    Design, operate, and debug reliable data pipelines covering ingestion, transformation, orchestration, late data, idempotent recovery, and data-quality checks. Use when building a batch or streaming pipeline, investigating changed numbers, or preventing stale or duplicated data from reaching reports.

  • data-governance

    Establish dataset ownership, metric definitions, quality checks, access purpose, lineage, and safe deprecation. Use when teams report different numbers, no source of truth is known, a dataset needs wider access, quality is unreliable, or data should be retired without breaking unseen consumers.

  • data-modeling

    Design warehouse and semantic-layer structures with explicit grain, raw-to-staging-to-mart separation, dimensional history, executable metrics, and query-aware performance choices. Use when modeling a source, restructuring tables, defining a metric layer, or debugging inflated joins and slow analyti

View source on GitHub

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Maintain org-data-analytics?

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