agentrules-architect

🥈Silver

AgentRules Architect generates AGENTS.md files for coding agents like Codex, Claude Code, and Cursor IDE. It helps developers and operations teams standardize agent configurations and workflows. The tool connects to AI coding agents to streamline setup and maintenance of agent rules.

99150Updated 1mo ago

Intermediate30min to implementautomation

Saves ~30 min per use

Quick InstallView Source

git clone https://github.com/trevor-nichols/agentrules-architect.git

Works with:

Claude

Overview

About This Skill

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/trevor-nichols/agentrules-architect

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Create an AGENTS.md file for a [COMPANY] in the [INDUSTRY] sector. Include sections for development, testing, deployment, and maintenance agents. Use [DATA] to inform the agent configurations. Ensure the file follows standard markdown formatting and includes clear instructions for each agent's purpose and usage.

Example Output

```markdown
# AGENTS.md for TechInnovate Solutions

## Development Agents

### Code Review Agent
- **Purpose**: Automatically review pull requests for code quality and style compliance.
- **Usage**: Triggered on pull request creation.
- **Configuration**:
  - Language: Python
  - Style Guide: PEP 8
  - Tools: pylint, flake8

### Documentation Agent
- **Purpose**: Generate and update API documentation.
- **Usage**: Run manually or on merge to main branch.
- **Configuration**:
  - Documentation Tool: Sphinx
  - Output Format: HTML, PDF

## Testing Agents

### Test Generation Agent
- **Purpose**: Create unit and integration tests based on code changes.
- **Usage**: Triggered on code commit.
- **Configuration**:
  - Test Framework: pytest
  - Coverage Tool: coverage.py

### Test Execution Agent
- **Purpose**: Run tests and report results.
- **Usage**: Triggered on pull request creation or manually.
- **Configuration**:
  - Test Environment: Docker containers
  - Reporting Tool: Allure

## Deployment Agents

### Deployment Agent
- **Purpose**: Deploy code to staging and production environments.
- **Usage**: Triggered on merge to main branch or manually.
- **Configuration**:
  - Deployment Tool: Kubernetes
  - Environments: staging, production

### Rollback Agent
- **Purpose**: Rollback to previous stable version in case of deployment failure.
- **Usage**: Triggered manually or automatically on deployment failure.
- **Configuration**:
  - Rollback Tool: Helm
  - Versioning: Semantic Versioning

## Maintenance Agents

### Monitoring Agent
- **Purpose**: Monitor application performance and health.
- **Usage**: Continuously running.
- **Configuration**:
  - Monitoring Tool: Prometheus
  - Alerting Tool: Alertmanager

### Incident Response Agent
- **Purpose**: Automate incident response and notification.
- **Usage**: Triggered on monitoring alerts.
- **Configuration**:
  - Notification Tool: Slack
  - Escalation Policy: Based on severity

```