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Frontend reconnaissance v1.0.0

Use this resource to understand an existing frontend's architecture

New

  • 500 downloads
  • 131 likes
  • 229 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install frontend-stack-mapping

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 reads the framework configuration, the component tree, the architecture and the quality indicators, then presents the assessment. You get a technical map of the frontend to share.

Mostly picked by

Updated November 2, 2026

Card for the “Frontend reconnaissance” skill

Details

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

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What you get

  • SKILL.md: stack detection, component tree and architecture steps
  • .claude-plugin/plugin.json: plugin metadata

Good fit for

  • You are taking over a React or Vue app with no documentation
  • You want to assess a frontend before changing it

Not for

    Tags

    • frontend
    • architecture
    • components
    • mapping

    About

    You say

    “Map the frontend of this repository: components, routing, state and build setup.”

    Card for the “Frontend reconnaissance” 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 understand an existing frontend's architecture
    3. Review and adjust the result

    Content preview

    Files

    • .claude-plugin/plugin.json0.5 KB
    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md4.9 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/prism-recon
    Licence
    MIT

    Notice

    « prism-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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