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Signup flow optimization v1.0.0

Use this resource to optimize a signup or free-trial flow

New

  • 344 downloads
  • 153 likes
  • 199 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install signup-flow-conversion

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 assesses the flow type, then suggests removing unnecessary fields, showing value before asking for commitment and removing uncertainty. You get a field-by-field list of changes.

Mostly picked by

Updated November 2, 2026

Card for the “Signup flow optimization” skill

Details

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

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What you get

  • SKILL.md: initial assessment, principles and field-by-field optimization
  • evals/evals.json: test cases for the skill

Good fit for

  • Many users drop off the signup form
  • Your signup asks for too many steps before the trial

Not for

    Tags

    • signup
    • free trial
    • conversion
    • form

    About

    You say

    “Simplify our free-trial signup: many people quit at the password step.”

    Card for the “Signup flow optimization” skill

    Skill published by coreyhaines31 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 optimize a signup or free-trial flow
    3. Review and adjust the result

    Content preview

    Files

    • evals/evals.json6.2 KB
    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md10.9 KB

    Origin and licence

    Listed unmodified

    Author
    coreyhaines31
    Source
    github.com/coreyhaines31/marketingskills/tree/0cd9b3a0ef4c411a1d690419ce843f2a1da32cce/skills/signup
    Licence
    MIT

    Notice

    « signup » (coreyhaines31, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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