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Current UX mapping v1.0.0

Use this resource to map the existing interface before reworking it

New

  • 460 downloads
  • 221 likes
  • 134 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install ui-ux-current-state-map

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 scans the frontend's pages, components and navigation elements, then assesses the quality of the experience. You get a map of screens and flows to validate before any design work.

Mostly picked by

Updated November 2, 2026

Card for the “Current UX mapping” skill

Details

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

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What you get

  • SKILL.md: steps for mapping routes, navigation and UX documents
  • .claude-plugin/plugin.json: plugin metadata

Good fit for

  • You are taking over an interface with no screen documentation
  • You want to spot broken flows before a redesign

Not for

    Tags

    • ux
    • navigation
    • screens
    • flows

    About

    You say

    “Map the screens and navigation of our app before working on the sign-up flow.”

    Card for the “Current UX mapping” 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 map the existing interface before reworking it
    3. Review and adjust the result

    Content preview

    Files

    • .claude-plugin/plugin.json0.6 KB
    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md3.7 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-recon
    Licence
    MIT

    Notice

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

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