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Optimizing the signup flow v1.0.0

Use this resource to reduce friction in a signup form without weakening security or consent

New

  • 477 downloads
  • 154 likes
  • 207 saves

Free

Install with the CLI

In a terminal, from the folder you want:

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

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 reviews each field, where the product value appears in the journey and the points of uncertainty, then proposes changes to test. You get a prioritised list of changes and the hypotheses to measure.

Mostly picked by

Updated November 2, 2026

Card for the “Optimizing the signup flow” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: initial assessment and optimization principles
  • SKILL.md: field-by-field analysis (email, password, name)

Good fit for

  • Your signup rate is low or drop-offs cluster on one field
  • You plan an A/B test on your account creation form

Not for

    Tags

    • signup
    • conversion
    • form
    • journey

    About

    You say

    “Review the signup form of my SaaS, I lose too many people at the password step.”

    Card for the “Optimizing the signup flow” skill

    Skill published by sickn33 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 reduce friction in a signup form without weakening security or consent
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md10.9 KB

    Origin and licence

    Listed unmodified

    Author
    sickn33
    Source
    github.com/sickn33/agentic-awesome-skills/tree/e9809578fd426a284af017c5db99f8eb6628e6ca/skills/signup-flow-cro
    Licence
    MIT

    Notice

    « signup-flow-cro » (sickn33, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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