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Paywall Upgrade Cro

Checked
jwtappert·vlatest·marketing·MIT

This skill analyzes website content to identify opportunities for "Cro" (Content Recommendation Optimization) within paywalls, boosting user engagement and subscription conversions.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add jwtappert/marketingskills --skill paywall-upgrade-cro -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

jwtappert

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned jwtappert/marketingskills at e7712e337e.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
2 files, 386 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill helps upgrade existing paywalls to improve conversion rates and revenue. It analyzes user behavior, identifies friction points in the paywall experience, and suggests data-driven optimizations such as A/B testing different offers or adjusting messaging. The goal is to increase subscription signups while maintaining a positive user experience.

When to use it

  • Low Paywall Conversion: When your current paywall isn't generating enough subscriptions.
  • High Bounce Rate on Paywall Page: Users are leaving the page before subscribing, indicating potential issues with the offer or design.
  • A/B Testing Ideas Needed: You want to test different paywall variations but lack specific hypotheses for testing.
  • Understanding User Behavior: To gain insights into why users aren't converting on your paywall.

Key capabilities

  • Paywall Conversion Rate Optimization (CRO)
  • User behavior analysis
  • A/B Testing Suggestions
  • Data-driven recommendations

Example prompts

  • "Analyze our current paywall and suggest improvements to increase subscriptions."
  • "What are some A/B testing ideas for our paywall offer?"
  • "Identify friction points in the user journey leading up to the paywall."

Tips & gotchas

The skill's effectiveness depends on having sufficient data about existing paywall performance and user behavior. Providing access to analytics dashboards or relevant reports will improve the quality of its recommendations.