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github-copilot-starter

Set up complete GitHub Copilot configuration for a new project based on technology stack

30,587stars3,654forksUpdated 4/21/2026

Security Assessment

Safe(95/100)
Security Score95/100

About github-copilot-starter

GitHub Copilot Starter is a setup skill that generates a complete, production-ready GitHub Copilot configuration for a new project based on its technology stack. It solves the cold-start problem of configuring Copilot consistently, saving teams from hand-authoring the repository instructions, per-language guidelines, reusable skills, and agent definitions that make Copilot follow project standards.

After gathering the primary language/framework, project type, additional technologies, development style, and whether GitHub Actions is used, the skill scaffolds a structured set of files. It creates the main `.github/copilot-instructions.md`, a `.github/instructions/` directory of topic files (language, testing, documentation, security, performance, code review), a `.github/skills/` directory of reusable skill folders (component setup, test writing, code review, refactoring, docs generation, debugging), and four standard agent definitions (software engineer, architect, reviewer, debugger). If the project uses GitHub Actions it also generates a `copilot-setup-steps.yml` workflow with a fixed job name and minimal required permissions. The skill emphasizes fetching and adapting proven patterns from the awesome-copilot repository first, adding attribution comments when it reuses content, and keeping instruction files to high-level principles rather than embedded code snippets.

It is intended for developers and teams standing up a new repository who want Copilot to produce code aligned with their conventions from day one. Because it fetches reference documentation from awesome-copilot before authoring files, an internet-capable fetch tool is expected.

FAQ

What information do I need to provide?

The primary language/framework, project type, any additional technologies, your preferred development style, and whether the project uses GitHub Actions (which controls whether a setup workflow is generated).

What files does it create?

A main copilot-instructions.md, a set of per-topic instruction files, reusable skill folders, four agent definitions, and optionally a copilot-setup-steps.yml GitHub Actions workflow.

Does it write code into the instruction files?

No. Instruction files are kept to high-level principles and conventions; the skill explicitly avoids embedding code examples, test cases, or boilerplate in .instructions.md files.

Where does it get its patterns?

It fetches reference documentation and existing patterns from the github/awesome-copilot repository, adapts proven examples to your stack, and adds attribution comments crediting the source.

What permissions does the generated workflow use?

The generated copilot-setup-steps.yml uses the minimum required permissions, a fixed job name of copilot-setup-steps, and triggers scoped to the workflow file plus manual dispatch.

Install github-copilot-starter

Download and extract the skill files to your .claude/skills/ directory.

Quick Setup:

  1. Copy the skill folder to .claude/skills/
  2. Claude will automatically detect and use the skill