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Ux Researcher Designer

Checked
borghei·vlatest·frontend

Rapidly generates user research insights and designs interactive frontend prototypes based on provided requirements and data.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add borghei/claude-skills --skill ux-researcher-designer -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

borghei

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned borghei/claude-skills at 4a698e8d07.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
6 files, 2,792 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to rapidly generate user research insights and designs interactive frontend prototypes based on provided requirements and data. It facilitates creating user personas, journey maps, usability test plans, and synthesizing research findings into actionable design recommendations. The skill supports both generating human-readable output and JSON formatted output for integration with other tools.

When to use it

  • You need to create a user persona from existing user data (analytics, surveys, interviews).
  • You want to build a customer journey map to visualize the user experience.
  • You require assistance in planning usability tests or designing a usability study.
  • You have research findings and need help synthesizing them into actionable design recommendations.
  • You're starting a new initiative with limited research budget and need a hypothesis-driven persona (a "proto-persona").

Key capabilities

  • User Persona Generation: Creates user personas from provided data, including demographics, goals, frustrations, and design implications.
  • Journey Map Creation: Builds customer journey maps to visualize the user experience.
  • Usability Test Planning: Helps plan usability tests and design studies.
  • Research Synthesis: Synthesizes research findings (like interview data) into actionable recommendations.
  • Proto-Persona Canvas: Generates lightweight, hypothesis-driven personas when limited research data is available.
  • Output Formats: Supports both human-readable and JSON output for integration purposes.

Example prompts

  • "Create a user persona from this JSON data: [paste JSON data here]"
  • "Build a customer journey map for users purchasing our product."
  • "Plan a usability test to evaluate the checkout process."

Tips & gotchas

  • Data Format: The skill requires user data in a specific JSON format (see source content for details). Ensure your data is properly formatted.
  • Proto-Personas are Hypotheses: Remember that proto-personas are assumptions and should be tested and refined, not treated as validated truth.
  • Validation is Key: Validate generated personas by showing them to real users and cross-checking with analytics data.