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Simulated user walkthroughs and latent demand v1.0.0

Use this resource to assess an existing flow with simulated personas before testing it with real users

New

  • 400 downloads
  • 155 likes
  • 180 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install simulated-user-flow-walkthrough

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 has several simulated personas walk through the interface, scores emotion and cognitive load at each step, spots deceptive patterns and states needs and opportunities. It is not a study with real users. You get a flow report with friction points.

Mostly picked by

Updated November 2, 2026

Card for the “Simulated user walkthroughs and latent demand” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: walkthrough modes, emotion scoring and limits
  • reference/demand-jtbd-switch-interview.md: JTBD needs method

Good fit for

  • You want to find friction points in a sign-up funnel
  • You look for feature ideas before a field study

Not for

    Tags

    • walkthrough
    • simulation
    • ux
    • personas
    • opportunities

    About

    You say

    “Have three personas walk through our checkout and flag any deceptive patterns.”

    Card for the “Simulated user walkthroughs and latent demand” skill

    Skill published by simota 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 assess an existing flow with simulated personas before testing it with real users
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1 KB
    • NOTICE-PALATEKIT.md0.4 KB
    • reference/analysis-frameworks.md3.7 KB
    • reference/autorun-schema.md1.9 KB
    • reference/cognitive-persona-model.md19.3 KB
    • reference/collaboration-patterns.md12.3 KB
    • reference/council-mode.md4 KB
    • reference/demand-5whys-root-cause.md10.1 KB
    • reference/demand-calibration.md2.5 KB
    • reference/demand-handoffs.md6.3 KB
    • reference/demand-jtbd-switch-interview.md10.3 KB
    • reference/demand-mode-playbooks.md7 KB
    • reference/demand-opportunity-solution-tree.md11.4 KB
    • reference/demand-patterns.md8.4 KB
    • reference/demand-persona-embodiment.md14.8 KB
    • reference/demand-subcommand-behavior.md8.3 KB
    • reference/heuristic-evaluation.md6.8 KB
    • reference/output-templates.md9.9 KB
    • reference/process-workflows.md12.5 KB
    • reference/question-templates.md12.2 KB
    • reference/recipes-index.md3 KB
    • reference/sus-scoring.md7.9 KB
    • reference/think-aloud-protocol.md7.9 KB
    • reference/tri-engine-demand.md18.1 KB
    • reference/tri-engine-walkthrough.md19.9 KB
    • reference/ux-frameworks.md11.1 KB
    • reference/visual-review.md17.1 KB
    • SKILL.md24.8 KB

    Origin and licence

    Listed unmodified

    Author
    simota
    Source
    github.com/simota/agent-skills/tree/2e02cc9efb3852a45334495df3784d59b87b0e18/echo
    Licence
    MIT

    Notice

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

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