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Designing Marketing Pages

Community
wdm0006
designing-marketing-pages

Designs landing, pricing, comparison and product pages that explain the product fast and convert honestly — one-sentence value proposition above the fold, a single primary call to action, real product screenshots instead of stock art, proof, a clear pricing table, fast responsive pages, and no dark patterns. Use when building or redesigning a landing page, marketing site, pricing or comparison page, app store–style product page, or reviewing why a product's public pages feel dated or don't convert.

Overview

Publisherwdm0006
Repositorypython-skills
Skill namedesigning-marketing-pages
Stars
111
Forks
17
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by wdm0006 on GitHub. Read the source before you install it.

Installation

Install the Designing Marketing Pages AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/wdm0006/python-skills/tree/main/skills/common/marketing-pages
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/wdm0006/python-skills.git /tmp/python-skills
mkdir -p .claude/skills
cp -r /tmp/python-skills/skills/common/marketing-pages .claude/skills/designing-marketing-pages
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Designing Marketing Pages in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Designing Marketing Pages on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Designing Marketing Pages is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Designing Marketing Pages

A visitor decides in a few seconds whether a page is for them. Everything on a marketing page either answers "what is this, is it for me, what do I do next?" or gets in the way. Most dated landing pages fail on clarity, not style.

Contents

  • The page skeleton
  • Above the fold
  • Show the product
  • Proof and objections
  • Pricing pages
  • Comparison pages
  • Visual design
  • Performance and responsiveness
  • Honesty rules
  • Review checklist

The page skeleton

A dependable order for a product landing page:

  1. Hero — headline, one supporting sentence, primary CTA, product visual.
  2. The problem / who it's for — in the visitor's words.
  3. How it works — 3 steps or 3 key features, each with a real screenshot.
  4. Proof — numbers, logos, quotes, ratings (only real ones).
  5. Details for evaluators — integrations, privacy/security, platforms, FAQ.
  6. Pricing (or a link to it).
  7. Final CTA — repeat the primary action.

Above the fold

  • Headline: what the product does for whom, in plain words — "Book and track equipment rentals from your phone", not "Reimagine the rental experience".
  • Subhead: one sentence on the key differentiator or how it works.
  • One primary CTA with an outcome label ("Download for Mac", "Start free"); at most one secondary ("See how it works"). Three equal buttons means no choice.
  • A real product visual — a screenshot or short clip of the actual UI.
  • Price or "free" signal near the CTA when it removes a question.

Show the product

Real screenshots beat illustrations and stock photos: they prove the product exists and answer "what does it look like?". Use crisp, current captures with realistic (fake) data, cropped to the feature being described, framed consistently (same device frame or same shadow and radius). Retake them when the UI changes — stale screenshots are the most common accuracy bug on product sites.

Proof and objections

  • Specific beats general: "Used by 1,200 teams" beats "Loved by teams".
  • Quotes with a name and role; ratings with their source.
  • An FAQ that answers the real objections: price, privacy, data export, platform support, what happens when you cancel.
  • Never fabricate testimonials, user counts, logos or ratings.

Pricing pages

  • 2–4 plans in columns; recommended plan visually marked; monthly/annual toggle that shows the real per-month price and the saving.
  • Each plan lists what is included in the same order, with the differences first.
  • The price shown is the price paid — taxes and limits stated plainly near it.
  • A free tier or trial says exactly what is free and what happens at the limit.
  • FAQ under the table for billing questions.

Comparison pages

"X vs Y" and "alternatives to Y" pages are high-intent and worth building: a fair feature table, honest about where the alternative is better, with a clear "choose us if…" / "choose them if…" section. Keep competitor facts dated and sourced; inaccurate comparisons damage trust and can create legal exposure.

Visual design

The designing-interfaces skill's fundamentals apply, tuned for reading:

  • Larger type than the app: 18–20px body, 40–64px hero headline on desktop, scaling down with clamp() on phones.
  • Generous vertical rhythm between sections (64–128px); one idea per section.
  • Prose blocks at ~65 characters wide even inside wide layouts.
  • One accent color reserved for CTAs so the action is always the most visible thing.
  • Consistent section structure (heading, one sentence, visual) so the page scans.

Performance and responsiveness

Marketing pages are judged on first load, often on a phone:

  • Largest Contentful Paint under ~2.5s: compress and size images (srcset, WebP/AVIF, explicit width/height to avoid layout shift), lazy-load below the fold, avoid render-blocking scripts and heavy font stacks (one family, two weights, font-display: swap).
  • Check with npx --yes lighthouse "$URL" --only-categories=performance,accessibility,seo --view.
  • Design the phone layout first; stack sections, keep the CTA reachable, and make sure screenshots remain legible when scaled down (crop tighter for mobile).
  • Meta title, description and an Open Graph image so shared links look intentional.

Honesty rules

No dark patterns: no fake countdown timers or scarcity, no pre-checked upsells, no hidden costs revealed at checkout, no confirmshaming ("No thanks, I don't like saving money"), cancellation as easy as signup. Every claim on the page must be true of the shipped product today — check copy against the live app before publishing.

Separate development, distribution, and claimability

A feature on the default branch is not evidence that a visitor can use it. Before updating copy or replacing screenshots, record three separate facts:

StateEvidence to check
ImplementedThe feature exists in the current source tree.
DistributedThe version/build available through the page's download or store CTA includes it.
Claimable todayThat distributed build exposes it to the audience and platform the claim addresses.

For example, a redesigned dashboard may be merged while the store still serves an older interface. Keep the current page's screenshots aligned with the store build; retain captures of the redesign as unpublished launch assets. They are premature for current copy, not stale assets to discard. Even inclusion in a build is insufficient if the advertised audience cannot access the feature.

Record the checked version/build and verification date with the claim evidence. Recheck distribution before publishing a prepared launch draft; a source merge alone must not promote future copy into present-tense claims.

Review checklist

  • A stranger can say what it is and who it's for after 5 seconds above the fold
  • One primary CTA, repeated at the end, labelled with the outcome
  • Real, current product screenshots
  • Proof is real and specific; FAQ covers price, privacy, export, cancellation
  • Pricing shows the real price and limits
  • Phone layout checked; Lighthouse performance and accessibility reviewed
  • Every claim and screenshot verified against the build available through the CTA, for its advertised audience

Frequently asked questions

What does the Designing Marketing Pages AI skill do?

Designs landing, pricing, comparison and product pages that explain the product fast and convert honestly — one-sentence value proposition above the fold, a single primary call to action, real product screenshots instead of stock art, proof, a clear pricing table, fast responsive pages, and no dark patterns. Use when building or redesigning a landing page, marketing site, pricing or comparison page, app store–style product page, or reviewing why a product's public pages feel dated or don't convert.

Why use Designing Marketing Pages on TypingMind?

Because you install it once and use it with any model. Designing Marketing Pages is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Designing Marketing Pages in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/wdm0006/python-skills/tree/main/skills/common/marketing-pages. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Designing Marketing Pages?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Designing Marketing Pages?

As many as you like. As long as a model supports skills, you can use Designing Marketing Pages with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Designing Marketing Pages AI skill free?

Yes. It is published on GitHub by wdm0006 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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