landing-generator

landing-generator is a skill for Claude Code from adidacta/pmf-detective. It costs 54 tokens per session (1,655 once invoked), scanned A, original, MIT.

A tool that generates a React and Vite landing page from product-market-fit files. A landing page is a focused marketing webpage designed to encourage a visitor to take one action, such as signing up.

In plain words
What is it for?
Use it to build responsive landing pages for products, campaigns, or websites, with sections and calls to action based on the supplied audience and value proposition.
Why use it?
It provides a defined page structure and copy direction when creating a product marketing page from existing product research.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the pmf-detective plugin — 9 skills, 6 commands shipped together

Good fit Use it to build responsive landing pages for products, campaigns, or websites, with sections and calls to action based on the supplied audience and value proposition.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/adidacta/pmf-detective/landing-generator
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add adidacta/pmf-detective --skill landing-generator
Clone the repo
git clone --depth 1 https://github.com/adidacta/pmf-detective

Made for: Claude Code.

Or install pmf-detective, the plugin that ships this one along with the rest of its 9 skills, 6 commands.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for landing-generator

README.md
[![agentmods](https://agentmods.dev/badge/skills/adidacta/pmf-detective/landing-generator/github.svg)](https://agentmods.dev/skills/adidacta/pmf-detective/landing-generator)
Your own site
<a href="https://agentmods.dev/skills/adidacta/pmf-detective/landing-generator"><img src="https://agentmods.dev/badge/skills/adidacta/pmf-detective/landing-generator/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for landing-generator

Your own site · 80×15
<a href="https://agentmods.dev/skills/adidacta/pmf-detective/landing-generator"><img src="https://agentmods.dev/badge/skills/adidacta/pmf-detective/landing-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,655 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00054 $0.01655
Opus 5.5 $0.00022 $0.00662
Sonnet 5.5 $0.00011 $0.00331
Haiku 4.5 $0.00005 $0.00166

Measured 2mo ago against content hash e3c99df5bfee, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

landing-generator scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/asset-generators/landing-generator/SKILL.md · 188 lines

How it starts

The opening of the file, as written. The whole thing — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Landing Page Generator

Generate a complete, production-ready landing page based on the user's PMF context layer.

The Goal: Conversion

This page has one job — get the visitor to click the CTA. Every section exists to move them closer to that action. The CTA from pmf/value-prop.md is the validation goal — conversions on this page are the signal that tests whether the value prop is working.

Design Principles

Visual design:

  • Clean, modern, and professional — not generic or templated
  • Strong visual hierarchy — headline dominates, supporting text recedes
  • Generous whitespace — let the copy breathe
  • Consistent color system — one primary action color for all CTAs, muted tones elsewhere
  • Smooth transitions and subtle hover states — the page should feel alive
  • Mobile-first responsive — most ICP traffic will come from mobile/social

Persuasive copy:

  • Write in the ICP's language — use phrases from "How They Talk About It" in pmf/icp.md
  • Problem section should make the reader feel understood, not attacked (seen, not judged)
  • Solution section paints the Magnet — make the desired future feel tangible and inevitable
  • Each section should answer "why should I keep reading?" and end with a reason to scroll down
  • CTA copy should be action-oriented and low-friction — match the CTA from value-prop.md exactly

Conversion focus:

  • CTA appears at least twice — hero and bottom. Consider a sticky header CTA for long pages.
  • Remove all friction — no navigation links that lead away from the page
  • Every section builds toward the CTA — problem → solution → proof → act
  • Social proof reduces perceived risk — even placeholder testimonials set the right structure
  • The bottom CTA should feel like the natural conclusion, not an afterthought

Prerequisites

Requires the PMF context layer:

  • pmf/icp.md - Who the customer is
  • pmf/value-prop.md - Why they should care (Callout + Magnet + Message)
  • pmf/mvp.md - MVP PRD with aha moment and path to highlight

Read the full file on GitHub · 188 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 188 lines · 54 tokens per session scan A e3c99df5bfee

Subscribe to this mod's changes

landing-generator is a skill published in the GitHub repository adidacta/pmf-detective (18 stars, last pushed 28d ago), licensed MIT. It adds 54 tokens to every session and 1,655 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

landing-generator compared with skills from other repositories

landing-generator next to 6 skills from other repositories
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