Datos

product-analytics-and-measurement

Defines product metrics and measurement governance through metric trees, tracking plans, event taxonomies, instrumentation QA, dashboard contracts, and privacy-aware measurement practices.

★ 88 GitHub Stars
94 Puntuación de calidad
8 Archivos

Sobre esta Skill

Define observable, governed evidence for product outcomes through metric trees, event/tracking plans, instrumentation QA, and measurement governance. Use when defining product metrics, designing tracking plans, building event taxonomies, running product funnels or cohort analysis, setting up dashboard contracts, or auditing instrumentation quality. Do NOT use for statistical inference or experiment design (route to data-scientist), data pipeline implementation (route to data-engineering), data architecture decisions (route to data-architect), observability or infrastructure monitoring (route to site-reliability-engineering), or general business intelligence and dashboard building (route to BI tooling).

Casos de uso

  • Define product outcomes and metric trees
  • Design event taxonomies and tracking plans
  • Audit instrumentation quality
  • Specify funnel and cohort measurements
  • Establish dashboard contracts and review cadences

Funciones

  • Leading and lagging indicator decomposition
  • Event schemas with properties, identity, and session rules
  • Client, server, pipeline, and end-to-end instrumentation QA
  • Privacy-aware measurement guidance
  • Metric ownership and dashboard contract templates

Agents compatibles

No especificado

Archivos de Skill

Skills relacionadas

estimate-online-covariance

Provides sklearn-style estimators for incrementally updating covariance, correlation, precision, and location matrices from streaming observations using constant work per observat…

microprediction/precise ★ 335
covariance correlation precision matrix online learning

precise

Enables Python agents to update, assess, compare, and select online covariance, correlation, and precision estimators for streaming or dynamic-universe data.

microprediction/precise ★ 335
python numpy covariance correlation

keyed-dynamic-universe

Wraps positional online covariance estimators to process keyed observations whose named series can remain fixed or change dynamically over time.

microprediction/precise ★ 335
covariance online statistics streaming data keyed data

choose-covariance-estimator

Recommends covariance estimator classes for a 2-D dataset using dimension, conditioning, rank, correlation, and tail-behavior features, and exposes those features for inspection.

microprediction/precise ★ 335
covariance estimator selection statistics machine learning

agentic-kaggle-skill

Guides an AI agent through end-to-end Kaggle competitions, including validation, modeling, OOF predictions, ensembling, remote notebook pipelines, artifact handoffs, submission sc…

FrankS-IntelLab/agentic-kaggle-skill ★ 185
kaggle machine learning competitions cross-validation

review-analyzer-skill

Analyzes e-commerce reviews using 22-dimension AI tagging to extract customer profiles, pain points, VOC, product opportunities, anomaly signals, reports, dashboards, and optional…

buluslan/review-analyzer-skill ★ 128
ecommerce review analysis voc customer insights

openlibrary

Queries Open Library's public catalog for books, authors, works, editions, ISBNs, ratings, and cover URLs through a keyless Python CLI.

magnus919/agent-skills ★ 88
open library books authors isbn

data-architect

Assesses, designs, and evolves data architectures through workload analysis, platform and modeling tradeoffs, governance, data products, data mesh, event-driven flows, and migrati…

magnus919/agent-skills ★ 88
data architecture data modeling data governance data mesh