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Product Appeal Analyzer

Checked
erichowens·vlatest·marketing·MIT

This tool analyzes product descriptions to identify key features and benefits that resonate with target audiences, boosting marketing effectiveness.

Repository

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 curiositech/some_claude_skills --skill product-appeal-analyzer -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

erichowens

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 erichowens/some_claude_skills at 6713fc7a64.

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

Commit
6713fc7a64
Manifest
.claude/skills/product-appeal-analyzer/SKILL.md
Scanned
1 file, 275 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

The Product Appeal Analyzer helps determine if users will want a product, not just find it useful. It assesses whether a product's messaging and presentation resonate with target audiences by evaluating its emotional appeal and perceived fit. The tool uses a framework called the "Desirability Triangle" to identify areas for improvement in marketing materials like landing pages and app store listings.

When to use it

This skill is valuable when:

  • Evaluating landing pages, product pages, or app store listings.
  • Positioning a product against alternatives.
  • Crafting messaging, tone, and visual identity direction.
  • Assessing emotional resonance with target personas.
  • Performing pre-launch analysis to predict conversion rates ("will this convert?").

Key capabilities

  • Desirability Triangle Assessment: Evaluates Identity Fit, Problem Urgency, and Trust Signals.
  • 5-Second Test Analysis: Quickly assesses if key elements (What is it?, Who's it for?, Core Promise?, Next Action?) are clear to visitors within 5 seconds.
  • Persona Identification & Scoring: Guides users through identifying target personas and scoring them based on the Desirability Triangle components.
  • Actionable Feedback: Provides a scoring system (0-10) with corresponding actions, from "Ship it" to "Start over."

Example prompts

  • “Analyze this landing page [URL] for product appeal.”
  • “What are the key identity signals missing from this app store description?”
  • “Run the 5-second test on this product page [URL].”

Tips & gotchas

  • This tool is not designed for UX friction audits, visual design execution, A/B testing implementation, market size estimation, or feature comparison matrices. Use specialized tools for those tasks instead.
  • The "Desirability Triangle" framework requires careful consideration of each vertex (Identity Fit, Problem Urgency, Trust Signals) to identify areas needing improvement.
  • For the 5-second test, ensure you observe someone unfamiliar with the product and record their verbatim responses without coaching.