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Frontend Patterns

Checked
sebas-aikon-intelligence·vlatest·frontend·MIT

Helps with frontend development, patterns as part of building frontend UIs and user experiences workflows.

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 sebas-aikon-intelligence/antigravity-awesome-skills --skill frontend-patterns -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

sebas-aikon-intelligence

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 sebas-aikon-intelligence/antigravity-awesome-skills at 0f4a1b2fd7.

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

Commit
0f4a1b2fd7
Manifest
skills/cc-skill-frontend-patterns/SKILL.md
Scanned
1 file, 603 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, sebas-aikon-intelligence-frontend-patterns, provides AI agents with knowledge of common frontend development patterns. It enables them to understand and apply established approaches for building user interfaces, improving code maintainability, and enhancing the overall user experience. The skill focuses on providing reusable solutions to recurring UI challenges.

When to use it

  • Code Review: When reviewing frontend code, the agent can identify deviations from established patterns and suggest improvements.
  • UI Design Assistance: Help developers brainstorm and select appropriate UI components and architectures for new features.
  • Documentation Generation: Automatically generate documentation explaining the rationale behind specific UI implementations based on recognized patterns.
  • Refactoring Legacy Code: The agent can analyze existing frontend codebases and suggest refactorings to align with modern best practices and design patterns.

Key capabilities

  • Knowledge of common frontend development patterns
  • Ability to identify deviations from established patterns
  • Suggestion of improvements based on recognized patterns
  • Understanding of UI component architectures

Example prompts

  • "Analyze this React code snippet and suggest any potential improvements related to component structure."
  • "What are some common patterns for implementing a responsive navigation menu?"
  • "Explain the benefits of using the Observer pattern in a frontend application."

Tips & gotchas

The skill's effectiveness depends on the agent having a foundational understanding of frontend development concepts. While it can suggest improvements, it’s important to validate its recommendations within the specific project context.