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React

Checked
lobehub·vlatest·frontend

Dynamically update UI elements based on user input or data changes using LobeHub's React integration.

Repository

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 lobehub/lobehub --skill react -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

lobehub

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 lobehub/lobehub at 0b22b7f532.

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

Commit
0b22b7f532
Manifest
.agents/skills/react/SKILL.md
Scanned
2 files, 185 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

The React skill enables AI agents to build dynamic, component-based user interfaces for web applications. It allows developers to create reusable UI components and manage application state efficiently using modern JavaScript practices.

When to use it

  • You need to develop a single-page application (SPA) with interactive elements.
  • Your project requires a scalable frontend architecture that supports modular code.
  • You want to integrate real-time updates or user interactions in the UI without reloading the page.

Key capabilities

  • Component-based architecture for building reusable UI elements
  • State management through React's useState and useContext hooks
  • Virtual DOM for efficient rendering and performance optimization
  • Integration with modern JavaScript features like ES6+ syntax

Example prompts

  • "Build a to-do list application using React."
  • "Create a responsive navigation bar component in React."
  • "Implement a real-time chat interface using React and WebSocket."

Tips & gotchas

  • Ensure you have Node.js and npm installed before setting up a React project.
  • Use functional components with hooks for simpler state management, but be mindful of performance implications when dealing with large datasets or complex logic.