Receber por email
← Voltar para o catálogo

analyze-user-behavior

Analyze user behavior patterns and cohorts using PostHog

18estrelas
Atualizado há 3 meses

Ver no GitHub ↗

Como adicionar

/plugin marketplace add coalesce-labs/catalyst

O comando exato pode variar conforme o repositório. Confira o README no GitHub.

Para o autor da skill

Cole no README do seu repo

Mostra que sua skill está catalogada na Skillteca, gera backlink e tráfego rastreável.

[![Skillteca](https://www.skillteca.com.br/api/badge/analyze-user-behavior/svg)](https://www.skillteca.com.br/skills/analyze-user-behavior)

Skills relacionadas

Ver todas de Pesquisa e Web →

Alerta por categoria

Receba novas skills de Pesquisa e Web toda segunda

1 email curto, só com as skills novas de Pesquisa e Web. 4 minutos de leitura, sem spam, cancela com 1 clique.

Você confirma o email no primeiro envio. Sem spam. Cancela com 1 clique.

Ler descrição completa

Analyze User Behavior

Query PostHog to understand user behavior patterns, cohorts, and product usage.

Prerequisites

  • PostHog MCP must be enabled (this plugin should be enabled)
  • POSTHOG_AUTH_HEADER environment variable configured
  • Access to PostHog project

Usage

/analyze-user-behavior <query>

Examples:
  /analyze-user-behavior "checkout abandonment last 30 days"
  /analyze-user-behavior "feature adoption for new dashboard"
  /analyze-user-behavior "user retention cohorts by signup month"

What This Command Does

Uses PostHog MCP tools to:

  1. Query user events and properties
  2. Analyze cohorts and segments
  3. Calculate conversion metrics
  4. Identify behavior patterns
  5. Generate insights with charts/data

Available PostHog Capabilities

When this plugin is enabled, you have access to ~43 PostHog tools:

User Analysis:

  • Query user properties and events
  • Segment users by behavior
  • Track user journeys
  • Analyze cohort retention

Product Metrics:

  • Feature usage tracking
  • Conversion funnel analysis
  • A/B test results
  • Session replay analysis

Trends & Insights:

  • Event trends over time
  • User engagement metrics
  • Feature adoption rates
  • Custom dashboard queries

Example Queries

Conversion Analysis

/analyze-user-behavior "Show conversion rate from signup to first purchase, broken down by traffic source"

Feature Adoption

/analyze-user-behavior "How many users adopted the new search feature in the last week?"

Retention Cohorts

/analyze-user-behavior "Show weekly retention for users who signed up in December 2024"

User Journey

/analyze-user-behavior "What's the typical path users take before upgrading to paid plan?"

Output Format

The command will:

  1. Translate your natural language query to PostHog API calls
  2. Fetch relevant data
  3. Present findings with:
  4. Key metrics and numbers
  5. Trends and patterns
  6. Visualizations (when possible)
  7. Actionable insights

Tips

  • Be specific about time ranges ("last 30 days", "this quarter")
  • Mention specific events or features by name
  • Ask for comparisons ("vs last month", "broken down by...")
  • Request segmentation ("by country", "by plan type")

Context Cost

This plugin adds ~40,645 tokens to your context window. Disable when not analyzing metrics:

/plugin disable catalyst-analytics

See also: /catalyst-analytics:product-metrics, /catalyst-analytics:segment-analysis

Compartilhar X LinkedIn