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Competitor Paywall Analysis

Community
khadinakbarlabs
competitor-paywall-analysis

Screenshot competitor paywalls, decode their offer, pricing, copy, urgency tactics, and trial structure. Use when the user says 'analyze paywall', 'how do competitors price', 'paywall research', 'screenshot paywalls', 'pricing intel'.

Overview

Publisherkhadinakbarlabs
Repositoryexpo-mobile-app-builder
Skill namecompetitor-paywall-analysis
Stars
3
Forks
0
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 khadinakbarlabs on GitHub. Read the source before you install it.

Installation

Install the Competitor Paywall Analysis 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/khadinakbarlabs/expo-mobile-app-builder/tree/main/skills/competitor-paywall-analysis
  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.
2

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-paywall-analysis .claude/skills/competitor-paywall-analysis
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Competitor Paywall Analysis 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 Paywall Analysis 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 Paywall Analysis 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 Paywall Analysis

Paywalls are the highest-leverage screen in the app. Steal the best, avoid the worst.

What to capture for each competitor

Screenshot

Get the FULL paywall screen. If it has multiple steps (e.g., trial timeline -> plans -> confirm), screenshot each.

Document the offer

FieldValue
TriggerAfter what action does paywall appear?
Plans offeredWeekly/monthly/yearly/lifetime
Default highlighted planWhich is pre-selected?
Anchor pricingHighest price shown to make others look cheap
Trial length3/7/14 days
Trial structureFree trial -> charge OR paid trial $0.99 -> $X
Urgency tacticCountdown? Limited time? Discount expires?
Social proof"Used by 1M+", testimonials, ratings
GuaranteeMoney-back? Satisfaction?

Document the copy

  • Headline (the big text at top)
  • Sub-headline
  • Feature bullet list (what's included)
  • Trial timeline visual ("Day 1: Free... Day 7: Charged $X")
  • Restore/cancel link visibility (compliance)
  • CTA button copy

Pattern library to look for

High-converting patterns

  • Trial timeline (Cal AI style): visual showing "today: free, day 5: reminder, day 7: charged"
  • Anchor + highlight: weekly $9.99, yearly $59.99 (highlighted as "BEST VALUE, save 88%")
  • Social proof above fold: "2.3M happy users", App Store rating badge
  • Specific outcome: "Save 5kg in 30 days" beats "Get fit"

Anti-patterns (avoid)

  • No restore button visible (Apple rejects)
  • Cancel hidden 6 taps deep
  • Urgency timer that doesn't actually expire
  • "Limited offer" that's always there
  • Auto-charging trial without clear preview

Output format

markdown
# Paywall: [Competitor Name]
[screenshot.png]

## The offer
- Trigger: After 3rd workout logged
- Plans:
  - Weekly $9.99 (anchor)
  - Yearly $59.99 (default, "save 88%")
- Trial: 7-day free, full refund window
- Visual: Timeline (Day 1 -> Day 5 reminder -> Day 7 charge)

## Copy
- Headline: "Unlock unlimited workouts"
- Sub: "Join 2.3M users transforming their bodies"
- Bullets:
  - Unlimited custom workouts
  - AI form coach
  - Apple Watch sync
  - No ads
- CTA: "Start 7-Day Free Trial"

## Patterns they use
- [x] Anchor + highlight
- [x] Social proof
- [x] Trial timeline
- [x] Restore visible
- [x] Cancel link visible
- [x] Apple Sign In to skip account creation

## What I'd steal
- Trial timeline visual
- Specific outcome subhead

## What I'd skip
- The "save 88%" math is sketchy ($9.99/wk = $519/yr, $59.99 isn't 88% off real demand)

Where to apply

  • Use design-paywall skill to mock up your version
  • Use revenuecat-paywall-builder to ship it via Paywalls v2
  • A/B test your version against theirs via Superwall (superwall-rn)

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 Competitor Paywall Analysis AI skill do?

Screenshot competitor paywalls, decode their offer, pricing, copy, urgency tactics, and trial structure. Use when the user says 'analyze paywall', 'how do competitors price', 'paywall research', 'screenshot paywalls', 'pricing intel'.

Why use Competitor Paywall Analysis on TypingMind?

Because you install it once and use it with any model. Competitor Paywall Analysis 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 Paywall Analysis in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/khadinakbarlabs/expo-mobile-app-builder/tree/main/skills/competitor-paywall-analysis. 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 Paywall Analysis?

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 Paywall Analysis?

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

Is the Competitor Paywall Analysis 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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