🤖 Augment Code CLI Subagents

A curated collection of specialized AI agents for Augment Code CLI, designed to provide expert assistance across different development domains. Each agent is a domain expert with deep knowledge in specific areas of software development.

📋 Overview

This repository contains configuration files for specialized AI subagents that can be used with Augment Code CLI. Each agent is meticulously crafted to be an expert in a specific domain, providing focused, professional, and highly effective assistance for various development tasks.

Why use specialized agents?

• Domain Expertise: Each agent has deep knowledge in its specific area
• Consistent Quality: Agents follow established best practices and methodologies
• Time Saving: Get expert-level assistance without context switching
• Educational: Learn from detailed explanations and professional code examples

🎯 Available Agents

Each agent is organized in its own directory with a configuration file (agent.md) and detailed README.

🔵 OpenSCAD Agent (openscadag)

Expert in parametric 3D modeling and optimization

• OpenSCAD functional programming and CSG operations
• CGAL rendering optimization (15-60× performance improvements)
• 3D printing validation and geometry checking
• Parametric design with Customizer interface

🟢 PSR Fixer

Automatic PHP Standards Recommendations compliance fixer

• Adds strict types declarations
• Fixes naming conventions and visibility modifiers
• Ensures PSR-1/PSR-12 compliance
• Automated code formatting

🟡 PSR Auditor

PHP Standards Recommendations compliance auditor

• Comprehensive PSR compliance checking
• Detailed violation explanations
• Priority-based issue reporting
• Educational feedback for developers

🟣 Code Reviewer

Comprehensive code review specialist

• Logic and correctness analysis
• Design patterns and SOLID principles
• Best practices enforcement
• Constructive and educational feedback

🔴 Penetration Tester

Security testing and vulnerability assessment

• Simulates common attack vectors (SQL injection, XSS, CSRF)
• Identifies security vulnerabilities
• Provides exploit scenarios
• Offers remediation guidance

🟢 Humanizer

Professional content writer and AI text humanizer

• Identifies and removes 24 common AI writing patterns
• Creates natural, engaging content with authentic voice
• Adds personality and human perspective to sterile text
• Preserves original language and meaning

🔵 Valentino Writer

Technical writer matching Valentino's style with measurable quality

• Zero AI patterns with 40+ pattern detection
• Comprehensive 0-100 point Scoring System (9 categories)
• Czech conversational tone with technical precision
• Minimum 75/100 points required for publication
• World-class agent (9.8/10) for undetectable human writing

🟠 Eddy Writer

Technical writer matching Eddy's minimalist, practical style

• Zero fluff, maximum information density
• Structured tutorials (Prerekvizity → Myšlenka → Steps → Config)
• Technical precision (exact IPs, versions, commands)
• Czech technical writing with English standards
• Tutorial-focused approach for practical documentation

🟠 Server Admin

Production-ready Linux server administrator for Raspberry Pi CM5

• Enterprise Security: Kernel hardening, AppArmor MAC, auditd compliance, file integrity monitoring (AIDE, rkhunter, ClamAV), SSH 2FA, ModSecurity WAF, DDoS protection
• Professional Monitoring: Prometheus + Grafana stack, Alertmanager, email alerts, uptime monitoring, custom alert rules
• Encrypted Backups: GPG encryption, rclone offsite storage, automated MariaDB/PostgreSQL backups, monthly restoration testing
• Performance Tuning: PHP-FPM pools, MariaDB/PostgreSQL optimization, Nginx caching, Raspberry Pi specific tuning
• Development Tools: Git, Node.js (npm/yarn/pnpm/PM2), Docker/Podman, Composer, CI/CD pipelines
• Web Stack: Nginx reverse proxy with OCSP stapling, PHP 8.2/8.3, MariaDB, PostgreSQL, SSL/TLS automation
• Compliance Ready: PCI-DSS, HIPAA, SOC2 audit logging and security controls

🔴 OSINT (osint)

Open Source Intelligence analyst for digital identity research and investigation

• Username enumeration across 400+ platforms (Sherlock, Maigret)
• Email breach checking, phone analysis, and metadata extraction
• Passive DNS, WHOIS, and network reconnaissance
• Automated tool installation and structured markdown reporting
• Czech-specific resources (ARES, Justice.cz, ČÚZK)
• Ethical framework with confidence scoring and source attribution

🔵 API Designer

Expert API architect for RESTful and GraphQL API design

• RESTful API design with proper resource modeling and HTTP semantics
• OpenAPI/Swagger 3.0 documentation and specifications
• GraphQL schema design with relay-style pagination
• API versioning strategies (URL, header, query parameter)
• Backward compatibility and deprecation policies
• Security, performance, and developer experience best practices

🚀 Getting Started

Prerequisites

• Augment Code CLI installed and configured
• Basic understanding of your development domain

Installation

Clone this repository to access all agent configurations:

git clone https://github.com/Hessevalentino/Augment-Code-CLI-SUBAGENTS.git
cd Augment-Code-CLI-SUBAGENTS

Quick Start

1. Browse available agents in the agents/ directory
2. Read the agent's README to understand its capabilities
3. Load the agent.md configuration file in Augment Code CLI
4. Start interacting with your specialized expert assistant

📖 Usage

Directory Structure

Each agent is organized in its own directory under agents/:

agents/
  └── agent-name/
      ├── agent.md       # Agent configuration (load this in Augment Code CLI)
      └── README.md      # Detailed documentation and capabilities

Using an Agent

Step 1: Choose Your Agent Browse the Available Agents section and select the agent that matches your task.

Step 2: Review Capabilities Read the agent's README to understand what it can do:

cd agents/openscadag
cat README.md

Step 3: Load in Augment Code CLI Load the agent.md configuration file in Augment Code CLI according to the official documentation.

Step 4: Start Working Interact with your specialized expert assistant. The agent will provide domain-specific guidance, code examples, and best practices.

Example Workflow

# Clone the repository
git clone https://github.com/Hessevalentino/Augment-Code-CLI-SUBAGENTS.git

# Explore available agents
cd Augment-Code-CLI-SUBAGENTS/agents
ls -la

# Review a specific agent
cd code-reviewer
cat README.md

# Load agent.md in Augment Code CLI and start coding!

🛠️ Creating New Agents

Want to contribute a new specialized agent? Great! Follow these guidelines:

Agent Creation Process

1. Research: Study best practices for AI agent design and your domain
2. Structure: Create a new directory under agents/your-agent-name/
3. Configure: Create agent.md with YAML frontmatter and instructions
4. Document: Write a minimal README.md (max 500 words, no icons)
5. Update: Add your agent to the main README with proper links
6. Test: Thoroughly test your agent configuration

Requirements

• Follow the structure defined in .augmentrules
• Use lowercase names with hyphens for directories
• Maintain consistency with existing agents
• Define clear expertise boundaries
• Provide concrete examples and methodologies
• Include YAML frontmatter: name, description, model, color

See .augmentrules for detailed guidelines.

📝 Documentation Guidelines

This project follows minimal documentation principles:

• Maximum 500 words per agent README
• No unnecessary supporting documentation
• Professional tone without decorative elements
• Focus on essential information only

🤝 Contributing

Contributions are welcome and appreciated! We're looking for:

• New Agents: Specialized agents for different development domains
• Improvements: Enhancements to existing agent configurations
• Bug Fixes: Corrections to agent behavior or documentation
• Documentation: Better examples and usage guides

How to Contribute

1. Fork this repository
2. Create a feature branch (git checkout -b feature/amazing-agent)
3. Follow the guidelines in .augmentrules
4. Commit your changes (git commit -m 'Add amazing agent')
5. Push to the branch (git push origin feature/amazing-agent)
6. Open a Pull Request

Contribution Guidelines

• Follow the existing agent structure and format
• Adhere to documentation guidelines in .augmentrules
• Ensure all file and folder names are lowercase
• Test your agent configurations thoroughly
• Provide clear commit messages
• Update the main README when adding new agents

📄 License

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

👤 Author

Valentino Hesse

• GitHub: @Hessevalentino

🌟 Acknowledgments

• Built for use with Augment Code
• Inspired by the need for specialized AI assistance in software development
• Thanks to all contributors who help improve these agents

📊 Project Stats

• 11 Specialized Agents covering different development domains
• Open Source under MIT License
• Community Driven - contributions welcome
• Production Ready - tested and actively used

🔗 Related Resources

• Augment Code Official Website
• Augment Code Documentation
• Report Issues
• Request Features

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Note: This is an open source project. Feel free to use, modify, and distribute according to the MIT License terms.

⭐ If you find this project useful, please consider giving it a star on GitHub!