claude-modular

🥈Silver

Production-ready modular Claude Code framework with 30+ commands, token optimization, and MCP server integration. Achieves 2-10x productivity gains through systematic command organization and hierarchical configuration.

268400Updated 1mo ago

Intermediate30min to implementautomation

Saves ~240 min per use

Quick InstallView Source

git clone https://github.com/oxygen-fragment/claude-modular.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/oxygen-fragment/claude-modular

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

I want to use the Claude Modular framework to automate a workflow for [COMPANY] in the [INDUSTRY] sector. The workflow involves [DATA] processing and [TASK]. Can you help me set up a modular structure with the following commands: [COMMAND1], [COMMAND2], and [COMMAND3]?

Example Output

# Modular Framework Setup for [COMPANY] Workflow

## Workflow Overview
- **Company**: [COMPANY]
- **Industry**: [INDUSTRY]
- **Data**: [DATA]
- **Task**: [TASK]

## Modular Commands
1. **Data Ingestion Command**: `ingest_data`
   - Input: CSV files from [DATA_SOURCE]
   - Output: Structured JSON data

2. **Data Processing Command**: `process_data`
   - Input: JSON data from `ingest_data`
   - Output: Cleaned and normalized data

3. **Task Automation Command**: `automate_task`
   - Input: Processed data
   - Output: Automated task completion report

## Token Optimization
- Total tokens used: 1500
- Optimized token usage: 800 (47% reduction)

## MCP Server Integration
- Server: MCP-001
- Status: Integrated successfully
- Endpoint: `https://mcp-server.com/api/v1`