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Product analytics assistant v1.0.0

Use this resource to define product metrics and size experiments

New

  • 301 downloads
  • 111 likes
  • 193 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install product-analytics-advisor

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent defines one decision metric with two or three guardrails and a dashboard spec before any analysis. A metrics calculator computes retention by day, cohort retention matrices and funnel conversion from CSV event exports. A sample size calculator sizes two-proportion tests from baseline rate, minimum detectable effect, alpha and power. It separates statistical from practical significance when judging results.

Mostly picked by

Updated November 2, 2026

Card for the “Product analyst persona” skill

Details

Generates with
Your agent's model
Uses
  • The product-analytics and experiment-designer skills
  • Python 3
Licence
MIT

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What you get

  • A KPI framework with guardrails and a dashboard spec
  • Retention, cohort and funnel metrics from a CSV
  • A sample size and duration for an A/B test
  • An interpretation of results: significant enough to ship or not

Good fit for

  • Defining activation and retention KPIs for a new feature
  • Sizing an A/B test before launch
  • Judging whether a test result justifies shipping

Not for

  • Deciding what to build, which the PM agents cover

Tags

  • analytics
  • kpi
  • experiments

About

You say

Size an A/B test with a 12 percent baseline conversion, a 2 point minimum effect and 800 daily samples.

Card for the “Product analyst persona” skill

Skill published by alirezarezvani under the MIT license, delivered in its original version.

Show more

Prerequisites

You bring
Event data as CSV, or baseline rate and traffic for sizing
Dependencies
The product-analytics and experiment-designer skills and Python 3

How to use it

  1. Name the decision the metric will drive
  2. Provide event data as CSV or test parameters
  3. Review the metrics, sample size or interpretation

Content preview

Files

  • LICENSE1.1 KB
  • NOTICE-PALATEKIT.md0.5 KB
  • SKILL.md4.4 KB

Origin and licence

Listed unmodified

Author
alirezarezvani
Source
github.com/alirezarezvani/claude-skills/tree/5434623a788ec3105d238328cfe554e1e2242ff7/.gemini/skills/cs-product-analyst
Licence
MIT

Notice

« cs-product-analyst » (alirezarezvani, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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