The README Generator is for technical writers looking to produce thorough README.md files for software projects. It helps document local development, system functionality, and production deployment requirements.
$ npx skills add https://github.com/shpigford/skills --skill readmeThe README Generator is an AI agent skill designed for technical writers who need to create comprehensive README.md files for software projects. It streamlines documentation by helping you capture local development setup instructions, system functionality details, and production deployment requirements in a structured format. This skill is particularly useful when you need to ensure your project documentation is thorough and covers all critical aspects of implementation and usage.
Install the skill and run it to generate your README.md file.
Generate README documentation for open-source projects
Create thorough documentation for internal company software
Assist new developers in understanding project setup and architecture
$ npx skills add https://github.com/shpigford/skills --skill readmegit clone https://github.com/shpigford/skillsCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Generate a comprehensive README.md for a [PROJECT_NAME] project in the [INDUSTRY] industry. Include sections for: Project Overview, Features, Local Development Setup, System Architecture, API Documentation, Deployment Guide, Contributing Guidelines, and License. Use [COMPANY_NAME]'s tech stack: [LIST_TECH_STACK]. Assume the project uses [VERSION_NUMBER] and has [NUM_USERS] active users. Format everything in GitHub-flavored markdown with proper headers, code blocks, and tables where applicable. Include placeholders for [CONTACT_EMAIL] and [ISSUE_TRACKER_URL].
# Project Phoenix
**A next-generation data processing platform for financial analytics**
## Overview
Project Phoenix is a scalable, real-time data pipeline designed to process transactional data for [FinTech Solutions Inc.]. Built with Python 3.11, FastAPI, and PostgreSQL, it handles 50,000+ transactions per second with sub-second latency. The system integrates with [Stripe] for payment processing and [Snowflake] for analytics storage.
## Features
- **Real-time Processing**: Kafka streams with 99.9% uptime guarantee
- **Multi-tenant Architecture**: Isolate data by client with row-level security
- **Audit Trail**: Complete history of all data transformations
- **REST & GraphQL APIs**: Flexible integration options
- **Dockerized**: Consistent local and production environments
## Local Development Setup
```bash
# Clone repository
git clone https://github.com/FinTechSolutions/phoenix.git
cd phoenix
# Environment setup
docker-compose -f docker-compose.dev.yml up -d
# Install dependencies
pip install -r requirements.txt
# Run tests
pytest tests/unit --cov=src
```
### Prerequisites
- Docker 20.10+
- Python 3.11+
- PostgreSQL 15+
- Kafka 3.4+
## System Architecture
```
┌─────────────┐ ┌─────────────┐ ┌─────────────┐
│ Clients │───▶│ API Layer │───▶│ Kafka │
└─────────────┘ └─────────────┘ └─────────────┘
│
┌─────────────┐
│ Processing │
└─────────────┘
│
┌─────────────┐
│ Storage │
└─────────────┘
```
## API Documentation
**Base URL**: `https://api.phoenix.fintech.com/v1`
| Endpoint | Method | Description |
|----------|--------|-------------|
| `/transactions` | GET | List all transactions |
| `/transactions/{id}` | GET | Retrieve specific transaction |
| `/analytics` | POST | Run custom analytics query |
## Deployment Guide
### Production Environment
```yaml
# docker-compose.prod.yml
version: '3.8'
services:
api:
image: fintechsolutions/phoenix:1.2.0
environment:
- DATABASE_URL=postgresql://prod:...@db:5432/phoenix
- KAFKA_BROKERS=kafka1:9092,kafka2:9092
restart: unless-stopped
```
### CI/CD Pipeline
1. GitHub Actions workflow runs on push to main
2. Builds Docker image and pushes to ECR
3. Deploys to Kubernetes cluster using Helm charts
4. Runs integration tests in staging environment
## Contributing Guidelines
1. Fork the repository and create a feature branch
2. Write unit tests for new functionality
3. Submit pull requests to `develop` branch
4. All PRs require approval from 2 team members
## License
MIT © [FinTech Solutions Inc.]. See LICENSE for details.
---
**Contact**: [email protected]
**Issues**: https://github.com/FinTechSolutions/phoenix/issuesTake a free 3-minute scan and get personalized AI skill recommendations.
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