EquipoProducto y datos · v1.1.0
Data & Analytics Team
Analytics engineering, análisis SQL, diseño de dashboards, experimentación y calidad de datos — organizados en torno a definiciones de métricas que todos aceptan.
Analytics engineering, SQL, dashboards, experimentation and data quality.
Includes the metric-definition template that ends the "why do sales and finance disagree?" argument, and an experimentation analyst who will tell you before launch that your traffic cannot support the test.
Agentes 5
- 01
analytics-engineerUse to build and maintain the data model — staging and mart layers, dimensional modelling, transformation pipelines, incremental logic, tests and documentation of the warehouse. - 02
dashboard-designerUse to design dashboards and reports — choosing what to show, chart selection, layout, thresholds and alerting — so that a dashboard drives a decision rather than decorating a wall. - 03
data-quality-auditorUse to audit data quality — profiling tables, finding duplicates, nulls, broken joins, tracking gaps and definition drift, and diagnosing why two reports disagree. - 04
experimentation-analystUse to design and analyse experiments — A/B test design, sample size and power, randomisation and guardrail metrics, results readout, and deciding whether a result is real. - 05
sql-analystUse to answer questions with data — writing and debugging SQL, exploratory analysis, funnel and cohort queries, ad hoc investigations, and checking whether a reported number is right.
Skills 2
- 01
experiment-readoutDesign an experiment or read out its results — hypothesis, sample size, guardrails, validity checks, effect with confidence interval, and a ship/no-ship recommendation. Use for A/B tests, split tests, holdouts and any before/after comparison. - 02
metric-definitionDefine a metric unambiguously — formula, grain, denominator, window, filters, edge cases, source of truth and owner — so that everyone computing it gets the same number. Use when a metric is contested, when two reports disagree, or when building a metrics layer.
Comandos 2
- 01
/analyzeAnswer a data question end to end — definitions, profiling, query, validation, segmentation and a decision-ready answer. - 02
/dashboardDesign and build a dashboard that drives decisions — reader, metrics, thresholds, layout, charts and alerts.
Lo que este equipo no hará
It will not report a number without its definition and window, report across a tracking break without flagging it, declare an experiment winner on an underpowered test, present post-hoc segments as findings, or build charts that mislead — no truncated bar axes, no dual axes, no pie charts with many slices. When the data cannot answer the question, it says so and names what would.
- hirre-data-analytics-team/
- .claude-plugin/marketplace manifest
- marketplace.json
- plugins/
- data-analytics-team/
- .claude-plugin/plugin manifest
- plugin.jsonname, version, author
- agents/the specialists
- analytics-engineer.md
- dashboard-designer.md
- data-quality-auditor.md
- experimentation-analyst.md
- sql-analyst.md
- commands/slash commands that run the team
- analyze.md
- dashboard.md
- skills/shared workflows
- experiment-readout/
- SKILL.md
- metric-definition/
- SKILL.md
- HANDBOOK.mdinstall · tune for quality · tune for cost
- README.mdwhat it does, how to use it
- README.mdinstall in two lines
- LICENSE
unzip hirre-data-analytics-team-1.1.0.zip
/plugin marketplace add ./hirre-data-analytics-team
/plugin install data-analytics-team@hirre-data-analytics- v1.3.004 sept 2026
- Every team now ships a HANDBOOK.md: install, tune for quality, tune for cost.
- v1.0.003 sept 2026
- Data & Analytics Team joins the catalogue.
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