app-onboarding

Name: app-onboarding
Availability: InStock
Author: Atsushi Kimura

Design phase-based app onboarding flows with Mermaid diagrams and wireframe briefs.

Updated Mar 30, 2026

Search Tags:#design #onboarding #metrics #activation #retention #user-flow #onboarding-patterns

Ready to run

npx skills add https://github.com/kimny1143/mued-claude-code-template --skill app-onboarding

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: app-onboarding
Source: https://github.com/kimny1143/mued-claude-code-template/tree/main/.claude/skills/app-onboarding
Command: npx skills add https://github.com/kimny1143/mued-claude-code-template --skill app-onboarding

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

App onboarding often fails to guide new users to value, causing low activation and early churn. This skill provides a structured framework to define Aha Moments, design phase-based onboarding, and establish measurement to drive Day1 retention.

Core Features & Use Cases

Phase-based onboarding framework: Pre-Onboarding to Re-engagement, with mandatory checkpoints and success metrics.
Aha Moment definition and Activation metrics: quantify the moment of perceived value and track progress.
Anti-patterns and best practices for high-conversion onboarding; supports A/B test planning and measurement.

Use cases:

New mobile app onboarding from scratch
Improving an existing onboarding flow to raise activation and retention
Designing onboarding for SaaS tools with measurable goals.

Quick Start

Design an onboarding flow that delivers a first win within 60 seconds and minimizes drop-off.

Frequently Asked Questions about app-onboarding

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

FAQPage Schema

How do I design an app onboarding flow that improves Day1 retention?▼

App onboarding design improves Day1 retention by structuring phase-based user flows from Pre-Onboarding to Re-engagement, defining Aha Moments, and establishing event-driven measurement to minimize drop-off and drive activation.

What are the most common app onboarding anti-patterns causing low activation?▼

App onboarding anti-patterns that cause low activation include failing to guide users to value quickly and lacking measurable metrics. Diagnosing existing flows against best practices helps identify friction points and plan A/B tests for higher conversion.

How do I define and measure the Aha Moment for new user activation?▼

Defining the Aha Moment for new user activation involves quantifying the specific event when users perceive value. You establish activation metrics to track progress toward this moment and use event-driven measurement to monitor user flow performance.

Can I use this onboarding framework for both consumer mobile apps and SaaS tools?▼

Yes, the onboarding framework supports both consumer mobile apps and SaaS tools. It is applicable whether you are designing a new onboarding flow from scratch, diagnosing an existing user flow, or testing optimizations for measurable activation goals.

What is the best way to map onboarding phases and mandatory checkpoints?▼

The best way to map onboarding phases is using a phase-based framework with mandatory checkpoints from Pre-Onboarding to Re-engagement. Generating Mermaid flow diagrams allows you to visualize user flows, track success metrics, and identify drop-off points.

How do I create wireframe briefs and UI code for onboarding screens?▼

You can create wireframe briefs and UI code for onboarding screens by defining the phase-based user flow and activation metrics first. The framework supports generating wireframe briefs and UI code options to implement the optimized onboarding design.