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- Invisible Dealbreaker Detector
Works with the AI Agents you already use
Invisible Dealbreaker Detector
Identify the hidden psychological reasons why potential customers hesitate and abandon your offer.
$19.99
Invisible Dealbreaker Detector
Example session with this skill installed
Analyze my new AI developer tool landing page. We're getting high click-through rates from Twitter, but almost no one is starting the free trial once they land there.
- Read your context and instructions
- Compiled the invisible dealbreaker detector
DETECTION 3 — PRIMARY REFUSAL MECHANISM
The "Implementation Dread." While the tool looks powerful, the technical docs imply a 4-hour setup. Developers are intrigued by the result but privately refuse because they don't have a "free afternoon" to risk on a tool that might not work.
Connects securely to your tools. The creator never sees your data.
About this skill
What it does
The Invisible Dealbreaker Detector is a forensic diagnostic tool designed for developers, founders, and marketers who have built a product that attracts interest but fails to convert. Unlike standard conversion audits that focus on surface-level elements like button colors or headline SEO, this skill identifies the "silent refusal logic"—the private reasons a buyer mentally steps back from an offer before they even verbalize an objection.
How it works
By analyzing your landing page, offer structure, or sales copy, the skill maps out where buyer momentum breaks. It identifies high-level psychological friction points such as identity mismatches, implementation dread, and status risks. It goes beyond what customers say to uncover what they actually infer about the effort, risk, and trust required to move forward.
Why use this skill
AI models are typically optimized to be "helpful," which often leads to generic advice like "make your headline punchier." This skill is programmed to be cynical and forensic. It helps you see the hidden burden your offer places on the user and identifies why high interest isn't translating into high commitment. The output is a multi-stage diagnostic report that ranks repair priorities by leverage.
Supported Analysis
- Landing Page Copy and Structure
- SaaS Subscription Tiers and Pricing Models
- High-Ticket Service Proposals
- Feature-Rich Product Specifications
- Trust Signals and Social Proof Efficacy
- Does not analyze visual design or UI aesthetics.
- Requires text-based inputs like copy or offer structural data.
- Not a substitute for live user testing data.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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