conversion-ops

Name: conversion-ops
Availability: InStock
Author: LazyIsEfficient

Automate CRO audits and lead-magnet briefs from URLs and survey data.

15|3|Updated Apr 9, 2026

Search Tags:#automation #benchmarking #conversion #landing-pages #cro #lead-magnet #survey-segmentation

Ready to run

npx skills add https://github.com/LazyIsEfficient/agentic-os --skill conversion-ops-lazyisefficient

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: conversion-ops
Source: https://github.com/LazyIsEfficient/agentic-os/tree/main/.claude/skills/conversion-ops
Command: npx skills add https://github.com/LazyIsEfficient/agentic-os --skill conversion-ops-lazyisefficient

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, beautifulsoup4, lxml, scikit-learn, pandas, numpy, and includes scripts (resource) and references (resource) components.

What problem does it solve?

AI-powered conversion optimization: landing page audits, CRO scoring, survey segmentation, and lead magnet generation. Use when asked to audit a landing page, run a CRO analysis, segment survey responses, or generate lead magnets. For content quality scoring see content-ops.

Core Features & Use Cases

CRO Audit: Fetches a landing page and scores across 8 dimensions (0–100) with per-dimension scores, before/after recommendations, and benchmark comparisons.
Survey-to-Lead-Magnet Engine: Ingests survey data, clusters responses by pain points, and auto-generates lead magnet briefs for each segment.
Batch CRO Analysis: Run audits across multiple URLs to benchmark performance and identify top improvement opportunities.

Quick Start

Audit a live landing page with the CRO tool, then generate lead-magnet briefs from survey data in one run.

Frequently Asked Questions about conversion-ops

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

FAQPage Schema

How do I automate a CRO audit for live landing pages?▼

To automate a CRO audit for landing pages, you can fetch live URLs and score them across 8 dimensions (0–100). The tool generates per-dimension scores, before/after recommendations, and benchmark comparisons for each page.

How do I turn survey data into lead magnets?▼

To turn survey data into lead magnets, ingest survey exports to cluster responses by pain points. The system segments the data and auto-generates tailored lead magnet briefs for each identified segment.

Can I run batch conversion rate optimization analysis across multiple URLs?▼

Yes, you can run batch CRO analysis across multiple URLs. This benchmarks landing page performance, identifies top improvement opportunities, and outputs JSON/text reports for your pages.

Does this CRO tool require internet access to process landing pages?▼

No, this CRO tool runs offline with local data after fetching the live URLs. It requires Python dependencies like beautifulsoup4, scikit-learn, and pandas to execute the local CLI workflow.

What is the best way to segment survey responses for conversion optimization?▼

The best way to segment survey responses for CRO is using clustering algorithms on pain points. This approach groups similar responses and automatically generates targeted lead magnet briefs for each segment.

Why use scikit-learn and pandas for landing page analysis?▼

Scikit-learn and pandas are used for landing page analysis to process data and apply machine learning clustering. This enables survey segmentation, benchmarking, and automated scoring across 8 CRO dimensions.