github-copilot-starter▌
github/awesome-copilot · updated Apr 8, 2026
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Generates production-ready GitHub Copilot configuration files tailored to your project's technology stack.
- ›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
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.
Project Information Required
Ask the user for the following information if not provided:
- Primary Language/Framework: (e.g., JavaScript/React, Python/Django, Java/Spring Boot, etc.)
- Project Type: (e.g., web app, API, mobile app, desktop app, library, etc.)
- Additional Technologies: (e.g., database, cloud provider, testing frameworks, etc.)
- Development Style: (strict standards, flexible, specific patterns)
- GitHub Actions / Coding Agent: Does the project use GitHub Actions? (yes/no — determines whether to generate
copilot-setup-steps.yml)
Configuration Files to Create
Based on the provided stack, create the following files in the appropriate directories:
1. .github/copilot-instructions.md
Main 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`
2. .github/instructions/ Directory
Create 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
3. .github/skills/ Directory
Create 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
4. .github/agents/ Directory
Always create these 4 agents:
software-engineer.agent.mdarchitect.agent.mdreviewer.agent.mddebugger.agent.md
For 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 -->
5. .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 setup
CRITICAL: The workflow MUST follow this exact structure:
- Job name MUST be
copilot-setup-steps - Include proper triggers (workflow_dispatch, push, pull_request on the workflow file)
- Set appropriate permissions (minimum required)
- Customize steps based on the technology stack provided
Content Guidelines
For each file, follow these principles:
MANDATORY FIRST STEP: Always use the fetch tool to research existing patterns before creating any content:
- Fetch specific instruction from awesome-copilot docs: https://github.com/github/awesome-copilot/blob/main/docs/README.instructions.md
- Fetch specific agents from awesome-copilot docs: https://github.com/github/awesome-copilot/blob/main/docs/README.agents.md
- Fetch specific skills from awesome-copilot docs: https://github.com/github/awesome-copilot/blob/main/docs/README.skills.md
- Check for existing patterns that match the technology stack
Primary Approach: Reference and adapt existing instructions from awesome-copilot repository:
- Use existing content when available - don't reinvent the wheel
- Adapt proven patterns to the specific project context
- Combine multiple examples if the stack requires it
- ALWAYS add attribution comments when using awesome-copilot content
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:
- High-level principles and best practices (2-3 sentences each)
- Architectural patterns (mention patterns, not implementation)
- Code style preferences (naming conventions, structure preferences)
- Testing strategy (approach, not test code)
- Documentation standards (format, requirements)
STRICTLY AVOID in .instructions.md files:
- ❌ Writing actual code examples or snippets
- ❌ Detailed implementation steps
- ❌ Test cases or specific test code
- ❌ Boilerplate or template code
- ❌ Function signatures or class definitions
- ❌ Import statements or dependency lists
CORRECT .instructions.md content:
- ✅ "Use descriptive variable names and follow camelCase"
- ✅ "Prefer composition over inheritance"
- ✅ "Write unit tests for all public methods"
- ✅ "Use TypeScript strict mode for better type safety"
- ✅ "Follow the repository's established error handling patterns"
Research Strategy with fetch tool:
- Check awesome-copilot first - Always start here for ALL file types
- Look for exact tech stack matches (e.g., React, Node.js, Spring Boot)
- Look for general matches (e.g., frontend agents, testing skills, review workflows)
- Check the docs and relevant directories directly for related files
- Prefer repo-native examples over inventing new formats
- Only create custom content if nothing relevant exists
Fetch these awesome-copilot directories:
- Instructions: https://github.com/github/awesome-copilot/tree/main/instructions
- Agents: https://github.com/github/awesome-copilot/tree/main/agents
- Skills: https://github.com/github/awesome-copilot/tree/main/skills
Awesome-Copilot Areas to Check:
- Frontend Web Development: React, Angular, Vue, TypeScript, CSS frameworks
- C# .NET Development: Testing, documentation, and best practices
- Java Development: Spring Boot, Quarkus, testing, documentation
- Database Development: PostgreSQL, SQL Server, and general database best practices
- Azure Development: Infrastructure as Code, serverless functions
- Security & Performance: Security frameworks, accessibility, performance optimization
File Structure Standards
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
YAML Frontmatter Template
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.
Execution Steps
How to use github-copilot-starter on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add github-copilot-starter
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches github-copilot-starter from GitHub repository github/awesome-copilot and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate github-copilot-starter. Access the skill through slash commands (e.g., /github-copilot-starter) or your agent's skill management interface.
Security & Verification Notice
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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
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
Competitive Analysis
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
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
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
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ 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.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★47 reviews- ★★★★★Noor Rao· Dec 28, 2024
github-copilot-starter reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Kaira Johnson· Dec 24, 2024
github-copilot-starter has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Chaitanya Patil· Dec 16, 2024
Useful defaults in github-copilot-starter — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Soo Jackson· Dec 16, 2024
Registry listing for github-copilot-starter matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Piyush G· Nov 7, 2024
github-copilot-starter is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Omar Wang· Nov 7, 2024
github-copilot-starter fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Shikha Mishra· Oct 26, 2024
Keeps context tight: github-copilot-starter is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Kaira Sharma· Oct 26, 2024
We added github-copilot-starter from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Ira Li· Oct 10, 2024
github-copilot-starter fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Diego Khan· Sep 17, 2024
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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