Competitor Onboarding Teardown

Q: Why use Competitor Onboarding Teardown on TypingMind?

Because you install it once and use it with any model. Competitor Onboarding Teardown 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.

Q: How do I install Competitor Onboarding Teardown in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/khadinakbarlabs/expo-mobile-app-builder/tree/main/skills/competitor-onboarding-teardown. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Q: Which AI models can use Competitor Onboarding Teardown?

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.

Q: How many AI models can I use with Competitor Onboarding Teardown?

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

Q: Is the Competitor Onboarding Teardown AI skill free?

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

Q: 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.

Q: 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.

Community

khadinakbarlabs

competitor-onboarding-teardown

Tear down a competitor's onboarding flow: questions asked, friction points, time-to-value, aha moment timing, permission asks. Use when the user says 'analyze onboarding', 'how do they onboard', 'first run experience', 'onboarding teardown', 'cal ai style quiz'.

Overview

Publisher	khadinakbarlabs
Repository	`expo-mobile-app-builder`
Skill name	`competitor-onboarding-teardown`
Stars	3
Forks	0
Bundled files	1
License	MIT
Links	Skill source Repository Homepage

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 khadinakbarlabs on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/khadinakbarlabs/expo-mobile-app-builder/tree/main/skills/competitor-onboarding-teardown
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/khadinakbarlabs/expo-mobile-app-builder/tree/main/skills/competitor-onboarding-teardown

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/khadinakbarlabs/expo-mobile-app-builder.git /tmp/expo-mobile-app-builder
mkdir -p .claude/skills
cp -r /tmp/expo-mobile-app-builder/skills/competitor-onboarding-teardown .claude/skills/competitor-onboarding-teardown

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Competitor Onboarding Teardown 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 Competitor Onboarding Teardown 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 Competitor Onboarding Teardown 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.

Competitor Onboarding Teardown

Onboarding is where 60-80% of installs churn. Steal the best.

The teardown sheet

For each competitor, document EVERY screen from cold install to first value:

#	Screen	Type	Required	Asks for	Pattern	Notes
1	Splash	Launch	-	-	Logo	1 sec
2	Welcome	Hero	-	-	Big headline + CTA	"Get Started"
3	Quiz Q1: Goal	Choice	Yes	"What's your goal?"	3-option	Sets up personalization
4	Quiz Q2: Experience	Choice	Yes	Beginner/Inter/Adv	3-option
...	...	...	...	...	...	...
12	Notif permission	System	Skippable	Push notif perm	Pre-prompt	Custom screen explaining WHY first
13	Account creation	Auth	Required	Email + pw	Apple Sign In option	Skip = no app access
14	First value screen	Output	-	-	Personalized plan	<-- AHA MOMENT

What to measure

Total screens count (less = better, target <8 before aha)
Time to aha (cold tap -> first value, target <60 sec)
Skippable % (how many screens can user skip)
Required asks (what's truly mandatory before value)
Permission ordering (custom pre-prompt before system dialog?)
Auth timing (do they delay account creation until value seen?)

Patterns to look for

Pattern A: The Cal AI Quiz (current best practice)

8-15 personalization questions
Each Q justifies the next, builds investment
Final screen: personalized plan + paywall
Conversion: 8-15% from install to paid

Pattern B: Sample Data + Defer Setup (Linear-style)

Show app with fake data immediately
Hide config behind a "Customize" CTA later
Aha = "oh I see what this looks like"
Conversion: lower paid, higher activation

Pattern C: Single Action First (TikTok-style)

One screen, one action ("Watch this video")
Build habit before asking anything
Auth deferred to point of friction
Conversion: highest D7 retention

Pattern D: Tutorial Coachmarks (avoid)

Step-by-step tooltips on first launch
Users tap-skip 80% of the time
Modern apps don't use this anymore

Document the personalization

If quiz-based, note:

How many questions?
What do they DO with the answers? (cosmetic? actually personalized? fake personalization?)
Is the final "your plan" screen ACTUALLY different per user, or template?

Output template

markdown
# Onboarding: [Competitor]
- Pattern: Cal AI Quiz
- Total screens: 12
- Time to aha: 73 sec (slow)
- Required asks: email, goal selection
- Permissions: notif (with custom pre-prompt screen)

## Screen-by-screen
[full table]

## Personalization depth
Real - 7 quiz answers feed into output plan.

## What they do well
- Custom pre-prompt before notif permission (smart)
- Apple Sign In as default auth (low friction)
- Quiz progress bar (commitment device)

## What's broken
- 12 screens is too long
- Account creation BEFORE plan reveal kills 30%+ I bet
- Email is required (should be Apple Sign In only)

## What to steal for our app
- Quiz personalization model
- Custom pre-prompt for notifs

## What to do differently
- 6-8 questions max (not 12)
- Show plan BEFORE asking for account
- No email — Apple Sign In only

Pair with

design-onboarding-quiz to design our version
dissect-competitor-app for full app teardown
mine-competitor-reviews to find their onboarding complaints

Bundled files

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

agents/openai.yaml1 KB

Frequently asked questions

What does the Competitor Onboarding Teardown AI skill do?

Why use Competitor Onboarding Teardown on TypingMind?

Because you install it once and use it with any model. Competitor Onboarding Teardown 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 Competitor Onboarding Teardown in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/khadinakbarlabs/expo-mobile-app-builder/tree/main/skills/competitor-onboarding-teardown. 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 Competitor Onboarding Teardown?

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 Competitor Onboarding Teardown?

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

Is the Competitor Onboarding Teardown AI skill free?

Yes. It is published on GitHub by khadinakbarlabs 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.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Competitor Onboarding Teardown

The teardown sheet

What to measure

Patterns to look for

Pattern A: The Cal AI Quiz (current best practice)

Pattern B: Sample Data + Defer Setup (Linear-style)

Pattern C: Single Action First (TikTok-style)

Pattern D: Tutorial Coachmarks (avoid)

Document the personalization

Output template

Pair with

Bundled files

Frequently asked questions

Related AI Skills

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