onboarding

Designs and audits post-signup onboarding flows to improve user activation and time-to-value.

Updated Aug 3, 2026
One-click install
npx skills add https://github.com/Yvesdefaria/GymLab --skill onboarding-yvesdefaria
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: onboarding
Source: https://github.com/Yvesdefaria/GymLab/tree/main/.opencode/skills/marketingskills/skills/onboarding
Command: npx skills add https://github.com/Yvesdefaria/GymLab --skill onboarding-yvesdefaria

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Users sign up for your product but never reach the moment where it clicks — they abandon after one session, stall mid-setup, or never return. This Skill diagnoses onboarding drop-off and designs flows that get users to their aha moment faster. ## Core Features & Use Cases - Activation Definition: Identify the aha moment and choose among 5 activation models (freemium, free trial, paid trial, money-back, consultation) using Model-Market Fit. - Flow Design: Build onboarding checklists (3-7 items), empty states, guided tours, and Minimum Path to Value flows grounded in onboarding psychology (Endowed Progress Effect, Peak-End Rule, BJ Fogg model). - Stalled User Recovery: Detect inactive users and design re-engagement via email sequences, in-app recovery, and human outreach. - Use Case: A project management tool where only 30% of trial users create a first project gets a full audit: friction points, a redesigned checklist, empty state copy, email triggers, and an experiment backlog. ## Quick Start Ask the assistant to audit your onboarding flow and recommend changes to raise your activation rate, describing your product type and current drop-off points.

Frequently Asked Questions about onboarding

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

FAQPage Schema
How do I improve user activation rate after signup?

Define your aha moment first — the action that correlates most with retention — then design the Minimum Path to Value: inventory every step between signup and value, remove nonessential steps, and reconstruct in value-first order. Measure activation rate, time to activation, and step-level drop-off.

What should an onboarding checklist include?

Include 3-7 items ordered by value, starting with the quickest win to build momentum. Add a progress bar, celebrate completions, and always allow dismissal. Pre-completing a step leverages the Endowed Progress Effect and can raise completion significantly.

Free trial vs freemium: which activation model should I choose?

The choice depends on Model-Market Fit — your market's price point, buyer sophistication, and time-to-value dictate the model. Requiring a credit card for trials cuts signups 50-70% but those users convert 2-3x better. Free tiers should hook users, then hit limits that motivate upgrading.

How do I design empty states for new users?

Treat empty states as onboarding opportunities, not dead ends. Explain what the area is for, show what it looks like with data, provide one clear primary action to add the first item, and optionally pre-populate with example data to avoid blank canvas paralysis.

Why do users sign up but never come back?

Typically 40-60% of trial users abandon after one session and 75-80% within the first day, usually because value was not reached fast enough. Fix the first-session experience, then use trigger-based re-engagement emails at 24h and 72h plus in-app recovery for returning users.

When should I use tooltips vs product tours vs setup wizards?

Use tooltips for contextual, on-demand hints; product tours (max 3-5 steps, dismissable) for complex UIs; and setup wizards when multiple required steps must be completed. Combining approaches often works best, and each variant should be A/B tested.