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Legacy Circuit Mockups

Official
github·vlatest·other·MIT

Generates realistic mockups of legacy electronic circuits for documentation, prototyping, and visualization purposes.

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 github/awesome-copilot --skill legacy-circuit-mockups -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

github

Matched to the vendor's own GitHub organisation.

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    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 github/awesome-copilot at 6c4d33b9cf.

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

Scanned
0 files
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 legacy-circuit-mockups skill enables AI agents to generate visual mockups of traditional electrical circuits, including components like resistors, capacitors, and transistors. It supports creating schematic diagrams for educational or design purposes using a simplified graphical representation.

When to use it

  • To create teaching materials for electronics classes involving basic circuit designs.
  • For prototyping ideas in hardware projects before building physical prototypes.
  • When preparing documentation that requires visual representations of legacy circuitry.

Key capabilities

  • Generation of schematic diagrams with standard electrical components.
  • Support for common circuit configurations and symbols.
  • Output in a format suitable for integration into educational or design workflows.

Example prompts

  • "Draw a simple series circuit with a resistor, capacitor, and LED."
  • "Generate a mockup of an analog amplifier circuit using traditional components."
  • "Create a schematic diagram showing a basic transistor-based switch."

Tips & gotchas

  • This skill is best suited for educational or illustrative purposes rather than precise engineering design.
  • Ensure that the generated diagrams are reviewed by a professional for accuracy in real-world applications.