landing-page

Generate section-by-section landing page copy from product positioning and marketing context.

49|19|Updated Jan 31, 2026
One-click install
npx skills add https://github.com/realjaymes/marketingagentskills --skill landing-page
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: landing-page
Source: https://github.com/realjaymes/marketingagentskills/tree/main/skills/landing-page
Command: npx skills add https://github.com/realjaymes/marketingagentskills --skill landing-page

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill removes the friction and inconsistency of drafting landing page and homepage copy by providing a structured, conversion-first template that maps product positioning into section-by-section content. It ensures headlines, subheadlines, bullets, CTAs, and visual notes are aligned with value propositions and social proof to improve clarity and conversion.

Core Features & Use Cases

  • Modular section templates: Generates Hero, Problem→Solution, Features, Integrations, How It Works, FAQs, Second CTA, and optional Founder's Note with consistent structure.
  • Conversion-focused guidance: Produces headlines, subheadlines, objection-handles, social proof suggestions, and CTAs tuned for clarity and action.
  • Context-aware inputs: Reads existing product-marketing-context when available and only asks for missing details.
  • Use Case: Build a homepage for a B2B SaaS launch by supplying product name, value proposition, target audience, three key features, and two testimonials to get a full, ready-to-iterate landing page draft.

Quick Start

Create a landing page for [Product Name] using a one-sentence value proposition, target audience, three key features, and any customer testimonials or logos available.

Frequently Asked Questions about landing-page

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

FAQPage Schema
How do I write high-converting landing page copy from scratch?

Landing page copy generation requires a product name, a one-sentence value proposition, target audience, and key features. Supplying customer testimonials or logos alongside these inputs allows the template to produce full section-by-section headlines, subheadlines, and objection handles.

What sections do I need for a B2B SaaS homepage launch?

Required sections for a B2B SaaS homepage include Hero, Problem to Solution, Features, Integrations, How It Works, FAQs, and a second CTA. Generating these modular sections ensures your headlines, subheadlines, and CTAs are aligned with value propositions and social proof.

Can I generate landing page copywriting if I only have minimal product inputs?

Generating landing page copy with minimal inputs is possible if you provide a product name, value proposition, target audience, and key features. The template reads existing product-marketing-context when available and only asks for missing details to produce complete headlines, bullets, and CTAs.

Does this landing page copywriter handle objection handling and social proof?

Objection handling and social proof are integrated directly into the modular section templates during landing page copy generation. The template produces conversion-focused guidance including objection handles, social proof suggestions, and CTAs tuned for clarity and action.

What is the best way to structure a hero section for conversion?

The best way to structure a conversion-focused hero section is using a modular template that pairs clear headlines with subheadlines and visual notes. Aligning these elements with your core value proposition and adding a targeted CTA improves clarity and drives user action.

Are there limitations to using templates for campaign landing page copy?

A limitation of using templates for campaign landing page copy is that outputs are structured drafts requiring further iteration. While they provide consistent section-by-section alignment, highly customized visual notes or niche campaign messaging may need manual adjustment beyond the generated modules.