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Canvas Design

Checked
eyadsibai·vlatest·frontend

Generates responsive website canvas designs based on user prompts, focusing on layout, color palettes, and initial UI elements.

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 eyadsibai/ltk --skill canvas-design -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

eyadsibai

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 eyadsibai/ltk at f8e85697b9.

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

Commit
f8e85697b9
Manifest
plugins/ltk-design/skills/canvas-design/SKILL.md
Scanned
1 file, 110 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

canvas-design

What it does

This frontend skill enables AI agents to generate and manipulate visual diagrams within a canvas interface. It allows for the dynamic creation of structured layouts, flowcharts, or architectural views directly through code execution.

When to use it

  • Visualizing system architecture or component relationships in real-time during a development session.
  • Creating flowcharts to map out complex business logic or data processing pipelines.
  • Generating UI wireframes or layout prototypes for frontend design discussions.
  • Drawing network topology maps or database schema diagrams programmatically.

Key capabilities

  • Interactive canvas rendering engine for visual output.
  • Dynamic element placement and manipulation within the workspace.
  • Support for structured diagram types including flows and layouts.
  • Direct integration with frontend execution environments.

Example prompts

  • "Create a flowchart showing the data flow from user input to database storage."
  • "Generate a system architecture diagram illustrating the microservices setup for this API."
  • "Draw a network topology map connecting three servers to a central load balancer."

Tips & gotchas

Ensure your AI agent has access to the necessary frontend execution environment to render the canvas elements. Complex diagrams may require breaking down into smaller, sequential generation steps for clarity.