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Github Copilot Starter

Official
github·vlatest·ai-ml·MIT

Quickly generate basic project structures and initial code files based on your GitHub repository descriptions.

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 github-copilot-starter -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 GitHub Copilot Starter skill provides an introduction to using GitHub Copilot, an AI-powered coding assistant that helps developers write code faster. It includes guidance on setting up and using Copilot within various development environments, such as Visual Studio Code, Neovim, and other supported editors.

When to use it

  • When you're new to GitHub Copilot and want a quick setup guide.
  • If you need help integrating Copilot into your preferred code editor.
  • When looking for tips on how to effectively use Copilot during coding sessions.
  • To understand the basics of writing prompts that yield the best results with Copilot.

Key capabilities

  • Step-by-step instructions for installing GitHub Copilot.
  • Integration guides for popular code editors.
  • Tips and tricks for maximizing productivity with Copilot.
  • Overview of how to use natural language prompts to generate code suggestions.

Example prompts

  • "Write a Python function to reverse a string."
  • "Implement a React component for a button with hover effects."
  • "Generate a REST API endpoint in Node.js."

Tips & gotchas

  • Ensure you have a GitHub account and that your editor is compatible before installing Copilot.
  • While Copilot can suggest code, always review the generated output to ensure it meets your requirements and follows best practices.