spec2ship

🥈Silver

Spec2Ship automates software development by orchestrating multi-agent workflows on Claude Code. It enables teams to collaborate on specs, design, and implementation. Connects to Claude Code for AI-driven development.

1800Updated 1mo ago

Intermediate30min to implementautomation

Saves ~210 min per use

Quick InstallView Source

git clone https://github.com/spec2ship/spec2ship.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/spec2ship/spec2ship

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 a Spec2Ship workflow for [COMPANY] in the [INDUSTRY] sector. The project involves [DATA] and requires the following steps: [STEP1], [STEP2], [STEP3]. Ensure each agent has clear roles and responsibilities, and provide a timeline for completion.

Example Output

# Spec2Ship Workflow for GreenTech Solutions

## Project Overview
- **Company**: GreenTech Solutions
- **Industry**: Renewable Energy
- **Data**: Solar panel efficiency metrics
- **Steps**: Data collection, Analysis, Reporting

## Agent Roles
1. **Data Collection Agent**: Gather solar panel efficiency metrics from various sources.
2. **Analysis Agent**: Analyze the collected data to identify trends and inefficiencies.
3. **Reporting Agent**: Generate a comprehensive report with visualizations and actionable insights.

## Timeline
- **Data Collection**: 3 days
- **Analysis**: 5 days
- **Reporting**: 2 days

## Expected Outcomes
- A detailed report on solar panel efficiency.
- Actionable recommendations for improving efficiency.
- Visualizations to support findings.