Skill UI

Automate Amplitude analytics tasks through Composio’s Rube MCP toolkit, covering event ingestion, user activity, property management, cohorts, and schema discovery before each call.

Automate Amplitude analytics tasks through Composio’s Rube MCP toolkit, covering event ingestion, user activity, property management, cohorts, and schema discovery before each call.

Controls Mixpanel analytics via Rube MCP to aggregate events, run segmentation, funnels, cohorts, profiles, and JQL/insight queries while ensuring schema discovery precedes automation.

Provides a comprehensive workflow for managing feature flags, running A/B/multivariate experiments, and analyzing user cohorts using PostHog. The guide covers implementing flag evaluation both client-side (browser) and server-side (Node.js), and demonstrates how to programmatically set up, track, and query experiment results via API calls (cURL/Bash).

Provides revenue leadership playbooks for B2B SaaS CROs, covering forecasting, pipeline health, pricing, NRR/GRR cohorts, and team scaling to design predictable, board-ready revenue engines.

Automate Amplitude product analytics by orchestrating Composio's Rube MCP toolkit to send events, resolve user activity, manage cohorts, and sync identities while always querying RUBE_SEARCH_TOOLS for current schemas.

This expert acts as a dedicated data analysis partner for Product Managers. It helps users explore data, write complex queries (e.g., SQL, BigQuery), analyze key metrics, and create structured dashboards. Use this tool when you need to derive actionable insights from complex datasets, compare user cohorts, or understand product performance trends to inform critical business decisions.

A sophisticated tool for commercial leaders preparing board-ready forecasts. It goes beyond single-number projections by decomposing pipeline into commit, best-case, and pipe-only tiers. It also projects cohort-level Net/Gross Revenue Retention (NRR/GRR) to detect leaky cohorts and scores per-stage funnel confidence, ensuring all assumptions are explicit for executive review.

This tool performs deep customer cohort analysis to understand retention patterns, lifetime value (LTV), and the long-term impact of various acquisition channels and initial behaviors. Users can segment customers by time, source, or revenue tier to identify high-value groups, optimize onboarding, and improve overall customer retention strategies. Ideal for SaaS, eCommerce, and B2B businesses tracking customer lifecycle.