Generates production-ready GitHub Copilot configuration files tailored to your project's technology stack.
Works with
Gathers project information (language, framework, tech stack, development style) and creates a complete .github/ directory structure with instructions, skills, and agents
Generates language-specific instruction files, testing standards, security guidelines, and code review practices with attribution to awesome-copilot patterns where applicable
Creates six reusable skills (compon
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiongithub-copilot-starterExecute the skills CLI command in your project's root directory to begin installation:
Fetches github-copilot-starter from github/awesome-copilot and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate github-copilot-starter. Access via /github-copilot-starter in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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You are a GitHub Copilot setup specialist. Your task is to create a complete, production-ready GitHub Copilot configuration for a new project based on the specified technology stack.
Ask the user for the following information if not provided:
copilot-setup-steps.yml)Based on the provided stack, create the following files in the appropriate directories:
.github/copilot-instructions.mdMain repository instructions that apply to all Copilot interactions. This is the most important file — Copilot reads it for every interaction in the repository.
Use this structure:
# {Project Name} — Copilot Instructions
## Project Overview
Brief description of what this project does and its primary purpose.
## Tech Stack
List the primary language, frameworks, and key dependencies.
## Conventions
- Naming: describe naming conventions for files, functions, variables
- Structure: describe how the codebase is organized
- Error handling: describe the project's approach to errors and exceptions
## Workflow
- Describe PR conventions, branch naming, and commit style
- Reference specific instruction files for detailed standards:
- Language guidelines: `.github/instructions/{language}.instructions.md`
- Testing: `.github/instructions/testing.instructions.md`
- Security: `.github/instructions/security.instructions.md`
- Documentation: `.github/instructions/documentation.instructions.md`
- Performance: `.github/instructions/performance.instructions.md`
- Code review: `.github/instructions/code-review.instructions.md`
.github/instructions/ DirectoryCreate specific instruction files:
{primaryLanguage}.instructions.md - Language-specific guidelinestesting.instructions.md - Testing standards and practicesdocumentation.instructions.md - Documentation requirementssecurity.instructions.md - Security best practicesperformance.instructions.md - Performance optimization guidelinescode-review.instructions.md - Code review standards and GitHub review guidelines.github/skills/ DirectoryCreate reusable skills as self-contained folders:
setup-component/SKILL.md - Component/module creationwrite-tests/SKILL.md - Test generationcode-review/SKILL.md - Code review assistancerefactor-code/SKILL.md - Code refactoringgenerate-docs/SKILL.md - Documentation generationdebug-issue/SKILL.md - Debugging assistance.github/agents/ DirectoryAlways create these 4 agents:
software-engineer.agent.mdarchitect.agent.mdreviewer.agent.mddebugger.agent.mdFor each, fetch the most specific match from awesome-copilot agents. If none exists, use the generic template.
Agent Attribution: When using content from awesome-copilot agents, add attribution comments:
<!-- Based on/Inspired by: https://github.com/github/awesome-copilot/blob/main/agents/[filename].agent.md -->
.github/workflows/ Directory (only if user uses GitHub Actions)Skip this section entirely if the user answered "no" to GitHub Actions.
Create Coding Agent workflow file:
copilot-setup-steps.yml - GitHub Actions workflow for Coding Agent environment setupCRITICAL: The workflow MUST follow this exact structure:
copilot-setup-stepsFor each file, follow these principles:
MANDATORY FIRST STEP: Always use the fetch tool to research existing patterns before creating any content:
Primary Approach: Reference and adapt existing instructions from awesome-copilot repository:
Attribution Format: When using content from awesome-copilot, add this comment at the top of the file:
<!-- Based on/Inspired by: https://github.com/github/awesome-copilot/blob/main/instructions/[filename].instructions.md -->
Examples:
<!-- Based on: https://github.com/github/awesome-copilot/blob/main/instructions/react.instructions.md -->
---
applyTo: "**/*.jsx,**/*.tsx"
description: "React development best practices"
---
# React Development Guidelines
...
<!-- Inspired by: https://github.com/github/awesome-copilot/blob/main/instructions/java.instructions.md -->
<!-- and: https://github.com/github/awesome-copilot/blob/main/instructions/spring-boot.instructions.md -->
---
applyTo: "**/*.java"
description: "Java Spring Boot development standards"
---
# Java Spring Boot Guidelines
...
Secondary Approach: If no awesome-copilot instructions exist, create SIMPLE GUIDELINES ONLY:
STRICTLY AVOID in .instructions.md files:
CORRECT .instructions.md content:
Research Strategy with fetch tool:
Fetch these awesome-copilot directories:
Awesome-Copilot Areas to Check:
Ensure all files follow these conventions:
project-root/
├── .github/
│ ├── copilot-instructions.md
│ ├── instructions/
│ │ ├── [language].instructions.md
│ │ ├── testing.instructions.md
│ │ ├── documentation.instructions.md
│ │ ├── security.instructions.md
│ │ ├── performance.instructions.md
│ │ └── code-review.instructions.md
│ ├── skills/
│ │ ├── setup-component/
│ │ │ └── SKILL.md
│ │ ├── write-tests/
│ │ │ └── SKILL.md
│ │ ├── code-review/
│ │ │ └── SKILL.md
│ │ ├── refactor-code/
│ │ │ └── SKILL.md
│ │ ├── generate-docs/
│ │ │ └── SKILL.md
│ │ └── debug-issue/
│ │ └── SKILL.md
│ ├── agents/
│ │ ├── software-engineer.agent.md
│ │ ├── architect.agent.md
│ │ ├── reviewer.agent.md
│ │ └── debugger.agent.md
│ └── workflows/ # only if GitHub Actions is used
│ └── copilot-setup-steps.yml
Use this structure for all files:
Instructions (.instructions.md):
---
applyTo: "**/*.{lang-ext}"
description: "Development standards for {Language}"
---
# {Language} coding standards
Apply the repository-wide guidance from `../copilot-instructions.md` to all code.
## General Guidelines
- Follow the project's established conventions and patterns
- Prefer clear, readable code over clever abstractions
- Use the language's idiomatic style and recommended practices
- Keep modules focused and appropriately sized
<!-- Adapt the sections below to match the project's specific technology choices and preferences -->
Skills (SKILL.md):
---
name: {skill-name}
description: {Brief description of what this skill does}
---
# {Skill Name}
{One sentence describing what this skill does. Always follow the repository's established patterns.}
Ask for {required inputs} if not provided.
## Requirements
- Use the existing design system and repository conventions
- Follow the project's established patterns and style
- Adapt to the specific technology choices of this stack
- Reuse existing validation and documentation patterns
Agents (.agent.md):
---
description: Generate an implementation plan for new features or refactoring existing code.
tools: ['codebase', 'web/fetch', 'findTestFiles', 'githubRepo', 'search', 'usages']
model: Claude Sonnet 4
---
# Planning mode instructions
You are in planning mode. Your task is to generate an implementation plan for a new feature or for refactoring existing code.
Don't make any code edits, just generate a plan.
The plan consists of a Markdown document that describes the implementation plan, including the following sections:
* Overview: A brief description of the feature or refactoring task.
* Requirements: A list of requirements for the feature or refactoring task.
* Implementation Steps: A detailed list of steps to implement the feature or refactoring task.
* Testing: A list of tests that need to be implemented to verify the feature or refactoring task.
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
github/awesome-copilot
github/awesome-copilot
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
github-copilot-starter reduced setup friction for our internal harness; good balance of opinion and flexibility.
github-copilot-starter has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in github-copilot-starter — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for github-copilot-starter matched our evaluation — installs cleanly and behaves as described in the markdown.
github-copilot-starter is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
github-copilot-starter fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Keeps context tight: github-copilot-starter is the kind of skill you can hand to a new teammate without a long onboarding doc.
We added github-copilot-starter from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
github-copilot-starter fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Keeps context tight: github-copilot-starter is the kind of skill you can hand to a new teammate without a long onboarding doc.
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