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Landing page structure v1.0.0

Use this resource to structure a conversion-oriented landing page

New

  • 465 downloads
  • 174 likes
  • 194 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install landing-page-structure

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent identifies the product type, draws on landing page patterns, then proposes the section order and information architecture. You get a page plan ready to be laid out.

Mostly picked by

Updated November 2, 2026

Card for the “Landing page structure” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: step-by-step method and output format
  • SKILL.md: anti-patterns to avoid and deliverable

Good fit for

  • You launch a product and need to order your homepage
  • Your page converts poorly and you want to rethink its structure

Not for

    Tags

    • landing page
    • conversion
    • architecture

    About

    You say

    “Structure the landing page of my invoicing SaaS for freelancers.”

    Card for the “Landing page structure” skill

    Skill published by tonone-ai <hello@tonone.ai> under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to structure a conversion-oriented landing page
    3. Review and adjust the result

    Content preview

    Files

    • .claude-plugin/plugin.json0.3 KB
    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md2.9 KB

    Origin and licence

    Listed unmodified

    Author
    tonone-ai <hello@tonone.ai>
    Source
    github.com/jeremylongshore/tons-of-skills-marketplace/tree/ab85a061f7bcc039dac13ee193de7a4cd4388571/plugins/ai-agency/tonone/skills/draft-landing
    Licence
    MIT

    Notice

    « draft-landing » (tonone-ai <hello@tonone.ai>, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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