product-appeal-analyzer

Score landing page desirability and messaging clarity into structured JSON.

Updated Mar 27, 2026
One-click install
npx skills add https://github.com/CenredJun/openclaw-claudecode-setup-kit --skill product-appeal-analyzer-cenredjun
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: product-appeal-analyzer
Source: https://github.com/CenredJun/openclaw-claudecode-setup-kit/tree/main/skills/product-appeal-analyzer
Command: npx skills add https://github.com/CenredJun/openclaw-claudecode-setup-kit --skill product-appeal-analyzer-cenredjun

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill diagnoses why potential customers may or may not be emotionally compelled to choose a product by assessing messaging, identity fit, urgency, and trust signals on landing pages and product pages. It helps teams stop guessing about appeal and prioritise changes that increase conversion and resonance with target personas.

Core Features & Use Cases

  • Desirability Triangle Scoring: Structured scoring for Identity Fit, Problem Urgency, and Trust Signals to highlight the single biggest blocker to conversion.
  • 5-Second Test & Objection Mapping: Rapid readability checks and a mapped set of common objections with concrete counters and placement guidance.
  • Actionable Recommendations: Prioritised fixes (Immediate / Medium-term / Long-term) and integration with a provided appeal_scorer.py script that emits structured JSON for downstream workflows.
  • Use Case: Run a pre-launch landing page review to get persona-by-persona appeal scores, the top three objections, and a ranked list of copy and trust fixes to ship in the next sprint.

Quick Start

Analyze https://example.com/landing and produce an executive summary with Desirability Triangle scores per persona, a 5-second test assessment, the top three objections, and prioritized recommendations.

Frequently Asked Questions about product-appeal-analyzer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I evaluate my landing page for product appeal and conversion readiness?

To evaluate landing page appeal, you can score messaging clarity, identity fit, and trust signals to find conversion blockers. This Skill uses the Desirability Triangle and a 5-Second Test to produce persona-resonance scores and prioritized copy fixes.

What is a desirability triangle and how does it assess value propositions?

A desirability triangle assesses value propositions by scoring Identity Fit, Problem Urgency, and Trust Signals. This structured scoring mechanism highlights the single biggest emotional blocker preventing potential customers from choosing your product.

Can I automate landing page audits and export the appeal scores as structured JSON?

Yes, you can automate landing page audits and export structured JSON using the included appeal_scorer.py script. It processes live content retrieval and emits per-persona appeal scores and prioritized recommendations for downstream workflows.

How do I find and map customer objections on my product page?

To map customer objections on a product page, this Skill performs rapid readability checks and identifies the top three common objections. It then provides concrete counters and placement guidance to address messaging gaps.

Does this product appeal analyzer work for pre-launch conversion checks without external dependencies?

Yes, this product appeal analyzer works for pre-launch conversion checks without external dependencies. It integrates live content retrieval and operates standalone using its included scripts and reference components.

What is the best way to prioritize messaging fixes from a value proposition audit?

The best way to prioritize messaging fixes from a value proposition audit is to categorize them into Immediate, Medium-term, and Long-term actions. This Skill outputs ranked copy and trust fixes based on desirability scores to guide your next sprint.