arc-protocol

🥈Silver

ARC Protocol automates AI-assisted development workflows with persistent context. Operations teams use it to analyze, run, and confirm project execution. It integrates with Python-based tools and Claude agents.

6450Updated 1w ago

Intermediate30min to implementautomation

Saves ~140 min per use

Quick InstallView Source

git clone https://github.com/AshishOP/arc-protocol.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/AshishOP/arc-protocol

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

Act as an AI development assistant using the ARC protocol. Analyze the following project requirements for [COMPANY] in the [INDUSTRY] sector: [PROJECT_REQUIREMENTS]. Run the development process step-by-step, maintaining persistent context. After each step, confirm completion before proceeding. Provide detailed progress updates and final deliverables.

Example Output

# Project Analysis

## Key Requirements
- Develop a customer relationship management (CRM) system for a mid-sized marketing agency
- Must integrate with existing email marketing platform
- Requires role-based access control
- Needs analytics dashboard for campaign performance

## Technical Constraints
- Must use Python and Django framework
- Database must be PostgreSQL
- Deployment on AWS cloud infrastructure

## Proposed Solution
1. **Database Design**: Create PostgreSQL schema with user, campaign, and analytics tables
2. **Backend Development**: Implement Django models and views for core functionality
3. **Integration Layer**: Develop API endpoints for email marketing platform integration
4. **Frontend Development**: Create React-based dashboard with role-based access control
5. **Deployment Pipeline**: Set up CI/CD pipeline for AWS deployment

# Development Progress

## Current Status
- Database schema completed and tested
- Django models and basic views implemented
- API endpoints for email integration designed

## Next Steps
1. Implement role-based access control in Django views
2. Develop React components for analytics dashboard
3. Set up initial deployment pipeline on AWS

## Confirmation Request
Please confirm completion of database schema and Django models before proceeding to next development phase.