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experiment-tracker

Design and track A/B tests for Expo and SaaS feature flags.

1|Updated Mar 13, 2026
Search Tags:#supabase#expo#feature-flags#ab-testing#experiment-design#data-tracking#statistical-rigor
One-click install
npx skills add https://github.com/coreymaypray/sloth-skill-tree --skill experiment-tracker-coreymaypray
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: experiment-tracker
Source: https://github.com/coreymaypray/sloth-skill-tree/tree/main/plugins/maycrest-ops/skills/experiment-tracker
Command: npx skills add https://github.com/coreymaypray/sloth-skill-tree --skill experiment-tracker-coreymaypray

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Streamlines rigorous experimentation and controlled feature rollouts for Expo apps and SaaS platforms, turning hypotheses into measurable outcomes and reducing decision risk.

Core Features & Use Cases

  • Hypothesis-driven experiment design for A/B tests across mobile and web targets
  • Feature flag management and safe rollout protocols with real-time analytics
  • Supabase-based data architecture for tracking experiment events and results, with rollback procedures
  • Use Case: When launching a new UI experiment in SlothFit, the skill helps define metrics, assign variants, collect data, and decide whether to roll out or rollback.

Quick Start

Design and run a small A/B test to compare onboarding flows.

Frequently Asked Questions about experiment-tracker

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I design and track A/B tests in Expo apps using Supabase?▼

A/B testing in Expo with Supabase requires defining hypothesis docs, structuring data schemas for experiment events, assigning variants, and tracking results to control feature rollouts.

What's the best way to manage feature flag rollouts in a SaaS platform?▼

Feature flag rollouts in SaaS require defined safety rules, real-time analytics, and rollback procedures to reduce decision risk and turn hypotheses into measurable outcomes.

How do I set up experiment data schemas in Supabase for tracking feature flags?▼

Experiment data schemas in Supabase structure tracking for feature flags and A/B tests by capturing variant assignments and events to support statistical rigor and rollback procedures.

Can I use this approach to compare onboarding flows in a mobile app?▼

Comparing onboarding flows in mobile apps involves hypothesis-driven A/B test design, assigning users to variants, collecting experiment data, and deciding to roll out or rollback.

When do I need a rollback procedure for feature flag experiments?▼

Rollback procedures for feature flag experiments are needed when results indicate negative impact, requiring predefined safety rules to revert variants and reduce decision risk.

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