User Onboarding logo

User Onboarding

Community
cnfeat
user-onboarding

Help users design effective product onboarding. Use when someone is creating first-user experiences, trying to improve activation rates, designing the first 30 seconds of product usage, or working on the path to the aha moment.

Overview

Publishercnfeat
Repositorytop-pm-skills
Skill nameuser-onboarding
Stars
55
Forks
6
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by cnfeat on GitHub. Read the source before you install it.

Installation

Install the User Onboarding AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/cnfeat/top-pm-skills/tree/main/参考skill/lenny-skills-main%20(2)/lenny-skills-main/skills/user-onboarding
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Use it in TypingMind

Enable User Onboarding in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads User Onboarding on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so User Onboarding is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

User Onboarding

Help the user design effective product onboarding using frameworks and insights from 4 product leaders.

How to Help

When the user asks for help with user onboarding:

  1. Understand the aha moment - Ask what the key value moment is and how quickly users need to reach it
  2. Design the first 30 seconds - Focus intensely on what happens immediately after signup
  3. Apply game design principles - Use progressive disclosure and reward mechanics from game design
  4. Connect to retention - Ensure the onboarding inflects the early user experience toward long-term engagement

Core Principles

Make the first 30 seconds magical

Grant Lee: "We are going to do everything we possibly can to make the first 30 seconds of the product feel magical." The first moments of the user experience are the primary driver for word-of-mouth growth. Invest disproportionately here.

Retention wins come from early experience

Dan Hockenmaier: "Very often I think the biggest wins in retention come from inflecting the early user experience." The onboarding experience is the biggest lever for long-term retention, not just initial activation.

Design from onboarding outward

Merci Grace: "I would design the game from the onboarding experience." Use game design principles where onboarding isn't an afterthought but the foundation from which the rest of the product is built.

Remove blockers to the aha moment

Cam Adams: "We worked a lot on the onboarding process in the last couple of months of launch and that was really pivotal because the product features were there but there was this thing holding people back." Product features may be complete, but invisible friction can prevent users from experiencing them.

Avoid common onboarding anti-patterns

Skip carousels, non-native frameworks, and explanatory screens that don't provide value. Get users into the core product experience as quickly as possible.

Questions to Help Users

  • "What is the single moment where users first experience the core value of your product?"
  • "What happens in the first 30 seconds after a user signs up?"
  • "What friction is between signup and the aha moment, and can any of it be removed?"
  • "Have you watched real users go through onboarding and seen where they struggle?"
  • "How quickly can a user do something meaningful, not just view something?"
  • "What would the onboarding look like if designed like a game tutorial?"

Common Mistakes to Flag

  • Explanation screens instead of action - Users learn by doing, not by reading about doing
  • Delaying the aha moment - Every screen between signup and value is a potential dropoff point
  • Carousels and tooltips - These patterns often indicate the product itself isn't intuitive enough
  • Treating onboarding as separate - Onboarding should be designed as part of the core product, not bolted on
  • Ignoring the first 30 seconds - This is where most users decide whether to invest further

Deep Dive

For all 4 insights from 4 guests, see references/guest-insights.md

Related Skills

  • Measuring Product-Market Fit
  • Designing Growth Loops
  • Retention & Engagement
  • Usability Testing

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the User Onboarding AI skill do?

Help users design effective product onboarding. Use when someone is creating first-user experiences, trying to improve activation rates, designing the first 30 seconds of product usage, or working on the path to the aha moment.

Why use User Onboarding on TypingMind?

Because you install it once and use it with any model. User Onboarding is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install User Onboarding in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cnfeat/top-pm-skills/tree/main/参考skill/lenny-skills-main%20(2)/lenny-skills-main/skills/user-onboarding. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use User Onboarding?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with User Onboarding?

As many as you like. As long as a model supports skills, you can use User Onboarding with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the User Onboarding AI skill free?

Yes. It is published on GitHub by cnfeat under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇