claude

pm-dataeng

Analytics-engineering skills: dbt Model Spec, Data Contract, Metric Semantic Layer, Experiment Readout (with a stdlib significance calculator), SQL Optimizer, and Data Quality Checks.

1,544 on GitHubby Mohit Aggarwalv1.0.0MITupdated yesterdayproductivity
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Plugin pm-dataeng from marketplace pm-claude-skills in mohitagw15856/pm-claude-skills. Commands read from the repo's manifest — yesterday.

What it installs

Skills (6)

  • data-contract

    Define a data contract between a producer and consumers of a dataset/event/API. Use when asked to write a data contract, define a schema agreement, set data SLAs, or stop a producer from silently breaking downstream consumers. Produces a contract — schema with types & constraints, semantics, quality

  • data-quality-checks

    Design the data quality checks for a table or pipeline across the standard dimensions. Use when asked to add data quality tests, define DQ checks, catch bad data before it hits dashboards, or set up monitoring for a dataset. Produces a checks plan across completeness, validity, uniqueness, freshness

  • dbt-model-spec

    Spec a dbt model — its grain, sources, transformations, tests, and materialization. Use when asked to design a dbt model, plan a data transformation, write a staging/intermediate/mart model spec, or define dbt tests for a table. Produces a model spec — purpose & grain, lineage (sources → refs), the

  • experiment-readout

    Analyse a finished A/B test and write an honest results readout with real statistics. Use when asked to read out an A/B test, analyse experiment results, check if a result is statistically significant, or decide ship/no-ship from test data. Produces a readout — the computed lift, p-value & confidenc

  • metric-semantic-layer

    Define a metric in a semantic layer so it means one thing everywhere. Use when asked to define a metric, build a semantic layer / metrics layer entry, stop 'revenue means three things' problems, or write a metric definition for dbt MetricFlow / Cube / LookML. Produces a metric definition — exact for

  • sql-optimizer

    Diagnose a slow SQL query and produce a concrete optimization plan. Use when asked to optimize SQL, speed up a slow query, reduce a query's cost/scan, fix a timeout, or review a query plan. Produces an analysis — the likely bottleneck, what the plan is doing wrong (full scans, bad joins, spills), th

View source on GitHub mohitagw15856.github.io

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