claudeArchived

data-platform

Data engineering toolkit: pandas, PostgreSQL/PostGIS, dbt (via MCP server)

0 on GitHubby Leo Mirandav12.1.0MITupdated 4 months agodata
/

Plugin data-platform from marketplace mktpl-claude-datasaas in l3ocho/mktpl-claude-datasaas. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (12)

  • analytical-chart-selection

    Maps analytical questions to Plotly graph_objects trace types with configuration guidance

  • choropleth-map-patterns

    Canonical patterns for go.Choroplethmap tile-based maps — background control, valid styles, and failure modes

  • data-exploration-workflow

    Five-phase autonomous exploratory data analysis methodology for Jupyter notebooks

  • data-integrity-audit

    Rules and patterns for auditing data integrity, schema validity, and dbt compliance

  • data-profiling
  • dbt-workflow
  • lineage-analysis
  • mcp-tools-reference
  • notebook-authoring

    Jupyter notebook cell patterns, structure, and documentation standards for analytical notebooks

  • notebook-design-system

    Reusable dark-theme design system for Plotly graph_objects in Jupyter notebooks

  • setup-workflow
  • visual-header

Slash commands (13)

  • /data-platform:data-dbt-test

    [data-platform] Run `dbt test` with grouped output

  • /data-platform:data-explain

    [data-platform] Explain SQL or pandas code

  • /data-platform:data-gate

    [data-platform] Data integrity compliance gate (pass/fail) for sprint execution

  • /data-platform:data-ingest

    [data-platform] Ingest CSV / Parquet into a pandas/PG target

  • /data-platform:data-lineage-viz

    [data-platform] Visualize dataset lineage as a graph

  • /data-platform:data-lineage

    [data-platform] Show dataset lineage

  • /data-platform:data-profile

    [data-platform] Profile a dataset (nulls, uniqueness, types)

  • /data-platform:data-quality

    [data-platform] Run data quality gates

  • /data-platform:data-review

    [data-platform] Audit data integrity, schema validity, and dbt compliance

  • /data-platform:data-run

    [data-platform] Run a dbt / pandas / SQL job

  • /data-platform:data-schema

    [data-platform] Extract schema from a dataset

  • /data-platform:data-setup

    [data-platform] Initialize data-platform project config

  • /data-platform:data

    [data-platform] Data engineering tools — type /data <action> for commands

Subagents (3)

  • data-advisor

    Reviews code for data integrity, schema validity, and dbt compliance using data-platform MCP tools. Use when validating database operations or data pipelines.

  • data-analysis

    Autonomous data analyst for exploration, hypothesis testing, and insight discovery. Use for Jupyter notebook generation, statistical analysis, and open-ended data investigation.

  • data-ingestion

    Data ingestion specialist for loading, transforming, and preparing data for analysis.

View source on GitHub gitea.hotserv.cloud

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