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React Expert

Checked
personamanagmentlayer·vlatest·frontend·Apache-2.0

Expertly handles user interactions & UI updates in React applications, optimizing responsiveness and usability based on persona 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 personamanagmentlayer/pcl --skill react-expert -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

personamanagmentlayer

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 personamanagmentlayer/pcl at 79ccaa9820.

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

Scanned
2 files, 913 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

React Expert Skill Guide

What it does

This skill enables AI agents to generate, modify, and debug React applications with expert-level proficiency. It allows agents to handle complex component architectures, state management, and modern React patterns autonomously.

When to use it

  • Building new single-page applications (SPAs) from scratch using the latest React ecosystem.
  • Refactoring legacy JavaScript codebases into modern functional components with Hooks.
  • Debugging intricate rendering issues or performance bottlenecks in existing React interfaces.
  • Integrating third-party libraries and APIs into a React project structure.

Key capabilities

  • Component Creation: Generates reusable, modular React components with proper props and state handling.
  • State Management: Implements complex state logic using Context API, Redux, or custom hooks.
  • Lifecycle Handling: Manages side effects and data fetching within useEffect and other lifecycle methods.
  • Styling Integration: Applies various styling methodologies including CSS modules, styled-components, or Tailwind CSS.
  • Error Handling: Writes robust error boundaries and handles asynchronous failures gracefully.

Example prompts

  1. "Create a responsive user dashboard component that fetches data from an API and displays it in a table with sorting capabilities."
  2. "Refactor this class-based React component into a functional component using Hooks while preserving all existing state logic."
  3. "Debug why this React list is not re-rendering when the underlying data array changes, and provide a fix using useMemo or useCallback."

Tips & gotchas

  • Ensure your AI agent has access to the specific React version and library dependencies (e.g., React Router, Redux) installed in your project for accurate code generation.
  • For complex applications, break down requests into smaller tasks to maintain context and avoid overwhelming the agent with entire application logic at once.