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Fabric Api

Checked
tristanmanchester·vlatest·backend

Provides API guidance and assistance for agent workflows.

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 tristanmanchester/agent-skills --skill fabric-api -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

tristanmanchester

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 tristanmanchester/agent-skills at 3323bc919a.

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

Scanned
2 files, 174 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

The fabric-api skill provides capabilities related to Fabric.js, a powerful JavaScript library for working with canvas elements. It allows AI agents to generate and manipulate vector graphics programmatically, enabling tasks like creating custom illustrations or processing image data in a visual format. This skill facilitates the creation of dynamic and interactive visuals within an agent's workflow.

When to use it

  • Generating simple diagrams: Create basic flowcharts or architectural sketches based on textual descriptions.
  • Image manipulation: Perform tasks like resizing, cropping, or applying filters to images programmatically.
  • Creating custom icons/logos: Design unique visual assets for applications or projects.
  • Interactive visualizations: Build dynamic and responsive graphical interfaces within an agent's output.

Key capabilities

  • Fabric.js integration
  • Vector graphic generation
  • Image manipulation
  • Canvas element processing

Example prompts

  • "Create a simple flowchart illustrating the steps in the onboarding process."
  • "Generate a logo with a blue circle and the text 'TrustedSkills'."
  • "Resize this image to 50% of its original size and save it as PNG."

Tips & gotchas

This skill requires familiarity with basic graphical concepts. The complexity of generated visuals depends on the clarity and detail provided in the prompt.