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Figma Generate Component

Checked
thebushidocollective·vlatest·frontend

Helps with code generation, components as part of agent workflows 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 thebushidocollective/han --skill figma-generate-component -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

thebushidocollective

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 thebushidocollective/han at 19caa51d5f.

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

Commit
19caa51d5f
Manifest
plugins/services/figma/skills/figma-generate-component/SKILL.md
Scanned
1 file, 109 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 Figma components based on user instructions. It can create new components with specific properties and styles, streamlining design workflows and promoting consistency within a project. The generated components are directly usable within Figma files, saving designers time and effort.

When to use it

  • Creating reusable UI elements for a website or application.
  • Generating component libraries from existing designs.
  • Quickly prototyping new design ideas with consistent styling.
  • Automating the creation of multiple similar components (e.g., buttons, form fields).

Key capabilities

  • Generates Figma components.
  • Creates components based on user instructions.
  • Integrates directly into Figma files.

Example prompts

  • "Create a button component with rounded corners and a blue background."
  • "Generate a text input field component with a placeholder 'Enter your email'."
  • “Make a card component with an image, title, and description.”

Tips & gotchas

The skill's effectiveness depends on the clarity and detail of the user’s instructions. Providing specific details about desired properties (e.g., colors, sizes, fonts) will yield better results.