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Canvas Design

Checked
nicepkg·vlatest·frontend·MIT

Generates responsive, visually appealing website canvas designs based on provided branding guidelines and content outlines.

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 nicepkg/ai-workflow --skill canvas-design --full-depth -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

nicepkg

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 nicepkg/ai-workflow at d167b41af7.

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

Scanned
60 files, 390 lines
Copies in repo
3 — 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

The canvas-design skill enables AI agents to generate and manipulate visual design layouts directly within a canvas interface. It streamlines the frontend development workflow by allowing agents to create structured graphical representations of user interfaces without manual drawing tools.

When to use it

  • Rapidly prototyping UI wireframes for new feature requests before writing code.
  • Visualizing complex component hierarchies and layout structures for team alignment.
  • Iterating on design concepts by generating multiple canvas variations based on feedback.
  • Creating visual documentation of frontend architecture for technical specifications.

Key capabilities

  • Generates editable canvas-based design artifacts.
  • Supports frontend-specific layout structuring.
  • Facilitates visual-to-code workflow transitions.
  • Integrates directly into the nicepkg/ai-workflow ecosystem.

Example prompts

  • "Create a high-fidelity canvas wireframe for a dashboard with a sidebar, header, and three-column data grid."
  • "Design a responsive mobile navigation canvas layout that includes a hamburger menu and bottom action bar."
  • "Generate a visual canvas representation of a login flow showing form fields, error states, and success redirects."

Tips & gotchas

Ensure your AI agent has access to the nicepkg/ai-workflow environment for full integration. This skill is best used in early-stage design phases; final pixel-perfect rendering may still require traditional design tools or code implementation.