Agent skill · marketing growth · jeremylongshore
pitch-landing
Use when asked to structure a landing page for positioning, plan a conversion-optimized page layout, or design a launch page. Examples: "landing page for product launch", "conversion-optimized layout for SaaS
Why this skill is useful
Provides a structured workflow for creating conversion-optimized landing pages that includes specific commands for searching patterns and product reasoning.
What it needs
Requires python3 installed locally. About 1k tokens when loaded. Last updated 2026-08-07. 2,604 stars on the source repository.
What this skill does
pitch-landing — Launch & Positioning Landing Page Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose. When to use User needs a landing page structured around product positioning, launch messaging, or conversion for a specific audience. Workflow 1. Identify product type and positioning anchor from user request or brief 2. Search landing page patterns: 3. Search product reasoning for audience + messaging context: 4. Layer in positioning: CTA strategy, social proof placement, objection handling 5. Output section order with conversion and messaging optimization Output format Anti-patterns Never structure copy without a clear positioning anchor (who it's for + what makes it different) Never add sections that don't serve conversion or objection handling Never place social proof after the primary CTA — it should reinforce before the ask Never launch without a single, unambiguous primary CTA per viewport Delivery If output exceeds the 40-line CLI budget, invoke /atlas-report with the full findings. The HTML report is the output. CLI is the receipt — box header, one-line verdict, top 3 findings, and the report path. Never dump analysis to CLI.
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills jeremylongshore/pitch-landing