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Css Development

Checked
neversight·vlatest·frontend

Generates clean, responsive CSS code from descriptions or designs, optimizing for maintainability and modern web standards.

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 neversight/learn-skills.dev --skill css-development -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

neversight

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 neversight/skills_feed at 58220bbac4.

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

Commit
58220bbac4
Manifest
data/skills-md/2389-research/claude-plugins/css-development/SKILL.md
Scanned
1 file, 158 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 allows AI agents to generate and manipulate CSS code. It can be used to create visually appealing website layouts, style elements with specific properties, and adapt designs based on user input or context. The agent can also translate design concepts into functional CSS rules.

When to use it

  • Generating CSS for a new webpage layout based on a textual description of the desired appearance.
  • Modifying existing CSS code to change colors, fonts, or spacing on a website.
  • Creating responsive designs that adapt to different screen sizes and devices.
  • Translating design mockups (e.g., from Figma) into corresponding CSS rules.

Key capabilities

  • CSS generation
  • CSS manipulation
  • Responsive design creation
  • Design translation

Example prompts

  • "Generate the CSS for a navigation bar with a blue background and white text."
  • "Modify this existing CSS to increase the font size of all h1 headings by 20%."
  • "Create responsive CSS that makes an image scale down on smaller screens."
  • “Translate this Figma design into CSS.”

Tips & gotchas

The agent's output quality depends heavily on the clarity and specificity of your prompts. Providing detailed descriptions or examples will yield better results.