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Intlayer React

Checked
aymericzip·vlatest·frontend·Apache-2.0

Dynamically generates React components from structured data, simplifying UI development and enabling flexible content rendering.

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 aymericzip/intlayer --skill intlayer-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

aymericzip

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 aymericzip/intlayer at 85108c1354.

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

Scanned
45 files, 16,755 lines
Copies in repo
2 — all of them scanned
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, intlayer-react, provides React components and utilities within an AI agent. It allows agents to generate and manipulate user interfaces using standard React practices. The skill integrates with the broader intlayer framework for enhanced agent capabilities.

When to use it

  • Building interactive dashboards: Create visual representations of data or system status for users.
  • Developing custom UI elements: Generate specific components tailored to a particular application's needs.
  • Prototyping user interfaces: Quickly test and iterate on UI designs within an AI agent environment.
  • Creating dynamic forms: Build interactive forms with validation and data submission capabilities.

Key capabilities

  • React component generation
  • Integration with intlayer framework
  • UI element manipulation
  • Standard React practices support

Example prompts

  • "Create a simple counter component in React."
  • "Generate a form with fields for name, email, and message using React."
  • "Show me the code for a React component that displays a list of items."

Tips & gotchas

  • Requires familiarity with React syntax and concepts.
  • The skill's functionality is dependent on the underlying intlayer framework.