🚀 Prompt Engineering Templates

Production-Ready AI-Augmented Development Blueprints

A comprehensive collection of battle-tested prompt templates, GitHub Copilot instructions, and prompt engineering guides for building production-grade applications with AI-augmented development.

🎯 Quick Start • 📚 Documentation • 🛠️ Templates • 🔒 Security • ⭐ Star Us

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🎯 What is This?

This repository is your complete toolkit for AI-augmented software development. Whether you're building a React frontend, Python backend, or full-stack application, you'll find:

• 🤖 GitHub Copilot Instructions - Pre-configured rulesets that make Copilot follow best practices automatically
• 📝 Reusable Prompt Templates - Copy-paste prompts for common development tasks
• 📖 Prompt Engineering Guides - Learn the principles, patterns, and techniques
• 🔧 Setup Scripts - Get started quickly with automated project setup
• 🔒 Security-First Approach - Integrated Codacy and Snyk best practices

Crafted with ❤️ in Paris by kunalsuri — blending Human Intelligence with cutting-edge AI systems (Human-in-the-Loop).

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🎨 Key Features

🎯 Multi-Stack Support React + TypeScript Python 3.12+ FastAPI + React Full-Stack Modular architecture patterns

🤖 AI-First Development GitHub Copilot optimized Context-aware instructions Security scanning built-in Prompt engineering best practices

📚 Complete Learning Path Prompt engineering 101 Real-world examples Multi-agent workflows Custom GPT guides

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📚 Repository Structure

📦 prompt-engineering-templates-public
├── 🤖 .github/                          # Base GitHub Copilot instructions
├── 🐍 .github-python/                   # Python-specific instructions & prompts
│   ├── copilot-instructions.md          # Python dev standards (PEP 8, type hints)
│   ├── prompts/                         # Python project prompts
│   └── instructions/                    # Codacy rules for Python
├── ⚛️  .github-react-typescript/        # React + TypeScript instructions
│   ├── copilot-instructions.md          # React best practices (hooks, Tailwind)
│   ├── prompts/                         # React feature prompts
│   └── instructions/                    # Security & quality rules
├── 🔄 .github-react-python-fastapi/     # Full-stack (React + FastAPI)
│   ├── copilot-instructions.md          # Full-stack architecture guidelines
│   ├── prompts/                         # Full-stack app creation prompts
│   └── instructions/                    # Integrated security rules
├── 📖 prompt-engineering-101/           # Complete learning guide
│   ├── 01-introduction.md               # What is prompt engineering?
│   ├── 02-principles.md                 # Core principles
│   ├── 03-patterns.md                   # Common patterns (few-shot, CoT)
│   ├── 04-best-practices.md             # Production tips
│   ├── comparisons/                     # Framework comparisons
│   ├── prompt-examples/                 # Real-world examples
│   │   ├── agents/                      # Agent-specific prompts
│   │   ├── creative/                    # Creative use cases
│   │   └── general/                     # Brainstorming, translation
│   └── templates/                       # Reusable prompt templates
├── 🎯 generic-user-prompts/             # Ready-to-use prompt examples
│   ├── generic-examples-py.prompt.md    # Python examples
│   └── generic-examples-react.prompt.md # React examples
├── 🛠️ scripts-utils/                    # Project setup automation
│   ├── scripts-python/                  # Python project setup
│   ├── scripts-react-typescript/        # React project setup
│   └── scripts-react-python-fastapi/    # Full-stack setup
└── 📄 docs/                             # Additional documentation

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🛠️ What's Included

🤖 GitHub Copilot Instructions

Pre-configured instruction files that automatically guide Copilot to:

• Follow Best Practices - PEP 8 for Python, React hooks patterns, TypeScript strict mode
• Maintain Architecture - Feature-driven modular structure
• Enforce Security - Input validation, no hardcoded secrets, sanitized outputs
• Ensure Quality - Type hints, error handling, accessibility standards

Supported Stacks:

• ✅ React + TypeScript - Modern frontend with Tailwind CSS, Zustand, TanStack Query
• ✅ Python 3.12+ - Backend with type hints, dataclasses, async patterns
• ✅ FastAPI + React - Full-stack with unified architecture

📝 Prompt Templates

Development Tasks:

• Creating full-stack SaaS applications
• Generating comprehensive test suites
• Building multi-agent workflows
• Code auditing and refactoring

Specialized Prompts:

• agents/ - Research helpers, code auditors, planning agents
• creative/ - Character building, plot generation
• general/ - Brainstorming, summarization, translation

📖 Prompt Engineering Education

Complete Learning Path:

1. Introduction - Fundamentals of prompt engineering
2. Principles - Clarity, context, iterative refinement
3. Patterns - Few-shot learning, chain-of-thought, role-playing
4. Best Practices - Production-ready techniques
5. Comparisons - Framework analysis (ReAct, Chain-of-Thought)
6. Real Examples - ChatGPT, local LLMs, multi-agent systems

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🚀 Quick Start

Option 1: Use as Template Repository

# Clone this repository as a starting point
git clone https://github.com/kunalsuri/prompt-engineering-templates-public.git my-project
cd my-project

# Choose your stack and copy instructions to .github/
cp .github-react-typescript/* .github/     # For React projects
# OR
cp .github-python/* .github/                # For Python projects
# OR
cp .github-react-python-fastapi/* .github/  # For Full-Stack projects

# Start coding - Copilot will follow the instructions automatically!

Option 2: Cherry-Pick Instructions

# Add to your existing project
cd your-existing-project

# Copy just the Copilot instructions you need
curl -o .github/copilot-instructions.md \
  https://github.com/kunalsuri/prompt-engineering-templates-public/main/.github-react-typescript/copilot-instructions.md

Option 3: Learn Prompt Engineering

# Explore the educational content
cd prompt-engineering-templates-public/prompt-engineering-101

# Read in order:
# 01-introduction.md → 02-principles.md → 03-patterns.md → 04-best-practices.md

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💡 How It Works

1️⃣ Automatic Best Practices

When you have Copilot instruction files in your .github/ folder, GitHub Copilot automatically:

// ❌ Without instructions, Copilot might generate:
function getData() {
  const data: any = fetchAPI();
  return data;
}

// ✅ With instructions, Copilot generates:
interface ApiResponse {
  id: string;
  name: string;
}

async function getData(): Promise<ApiResponse> {
  try {
    const response = await fetchAPI();
    return response;
  } catch (error) {
    logger.error('Failed to fetch data', error);
    throw new ApiError('Data fetch failed');
  }
}

2️⃣ Context-Aware Generation

Copilot understands your project structure and generates code that fits:

• Frontend - Respects src/features/ structure, uses Zustand for state
• Backend - Follows app/api/ patterns, uses Pydantic validation
• Full-Stack - Maintains contract between frontend and backend

3️⃣ Security by Default

Built-in security scanning with:

• Codacy - Automatic code quality and security checks
• Snyk - Dependency vulnerability scanning
• Instructions - Prevents common security anti-patterns

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🔒 Security & Quality Tools

🛡️ Integrated Security Scanning

This repository includes automated security checks:

Codacy MCP Integration

• ✅ Runs automatically after file edits
• ✅ Detects security vulnerabilities
• ✅ Enforces code quality standards
• ✅ Scans dependencies with Trivy

Snyk Security at Inception

• ✅ Scans newly generated code
• ✅ Checks for vulnerabilities in dependencies
• ✅ Provides fix suggestions
• ✅ Rescans after fixes

🔧 Recommended VS Code Extensions

Codacy Static code analysis Real-time security scanning Code quality metrics Git workflow integration

CodeQL Semantic code analysis Advanced vulnerability detection Custom security queries Database-backed scanning

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🎓 Use Cases

For Individual Developers

• Learn prompt engineering from basics to advanced patterns
• Bootstrap new projects with production-ready templates
• Improve AI interactions with proven prompting techniques

For Teams

• Standardize coding practices across the organization
• Onboard faster with automated best practices
• Maintain consistency in AI-generated code

For AI Enthusiasts

• Explore multi-agent systems with example workflows
• Build custom GPTs with provided templates
• Experiment with local LLMs using example prompts

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📖 Documentation

🎯 Getting Started Guides

Guide	Description	Link
Prompt Engineering 101	Complete beginner's guide	📖 Read
React + TypeScript Setup	Frontend development guide	⚛️ Instructions
Python Development	Backend best practices	🐍 Instructions
Full-Stack Guide	React + FastAPI integration	🔄 Instructions

📚 Advanced Topics

• Multi-Agent Workflows - Examples
• Custom GPT Creation - Guide
• Local LLM Integration - Examples
• Code Auditing Agents - Template

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🤝 Contributing

Contributions are welcome! Here's how you can help:

1. 🐛 Report Issues - Found a bug or have a suggestion? Open an issue
2. 📝 Submit PRs - Improve documentation, add examples, fix bugs
3. ⭐ Share Knowledge - Add your own prompt templates or best practices
4. 💬 Spread the Word - Share this repository with your team

Before Contributing:

• Review existing instructions for style consistency
• Test your prompts with GitHub Copilot
• Include examples and documentation
• Follow security best practices

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📜 License

This project is licensed under the MIT License - see the LICENSE file for details.

TL;DR: You can use, modify, and distribute this project freely. Just keep the original license notice.

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⚠️ Disclaimer

This project has been developed using AI-assisted development tools including:

• Visual Studio Code with GitHub Copilot Pro
• Windsurf, Cursor, and other AI coding assistants
• Human-in-the-Loop supervision and review

Security Notice:

• All code has been validated and scanned
• Malware scanning and static analysis applied (CodeQL)
• However, NO WARRANTY is provided
• Review AI-generated code before production use

Use at your own discretion and risk. This software is provided "as is" without any warranties.

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🌟 Call to Action

Find this useful? Here's how to support:

⭐ Star this repository to show your support!

🔔 Watch for updates • 🍴 Fork for your projects • 💬 Share with your team

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📞 Connect

• GitHub: @kunalsuri
• Issues: Report bugs or request features
• Discussions: Share your experience and ask questions

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Built with 💻 & 🤖 in Paris | Human Intelligence + AI Augmentation

Empowering developers to build better software, faster.