compound-engineering-plugin

🥇Gold

The compound-engineering-plugin automates engineering workflows by integrating Claude with the Compound Marketplace. It enables operations teams to streamline processes, reduce manual effort, and improve efficiency. The plugin connects to TypeScript-based tools and workflows, providing a robust solution for intermediate-level automation tasks.

9,5225330Updated Today

Intermediate30min to implementautomation

Saves ~60 min per use

Quick InstallView Source

git clone https://github.com/EveryInc/compound-engineering-plugin.git

Works with:

Claude

Overview

About This Skill

https://github.com/EveryInc/compound-engineering-plugin

Use Cases

Automate the planning of new features by generating detailed implementation plans.

Track tasks and manage worktrees efficiently during the execution phase.

Conduct multi-agent code reviews to ensure quality before merging changes.

Document learnings from completed projects to inform future work and reduce complexity.

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/EveryInc/compound-engineering-plugin

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

Using the Compound Engineering Plugin, analyze the [DATA] for [COMPANY] in the [INDUSTRY] sector. Provide a detailed report on potential improvements and automation opportunities in the engineering workflow.

Example Output

### Engineering Workflow Analysis for Tech Innovations Inc.

**Industry:** Software Development  
**Current Data:** Project timelines, resource allocation, and bug reports  

**Findings:**  
- **Inefficient Resource Allocation:**  
  - 30% of developers are underutilized on projects.
- **Long Bug Resolution Times:**  
  - Average resolution time is 5 days, impacting project delivery.

**Recommendations:**  
1. Implement automated testing to reduce bug resolution time by at least 50%.
2. Reassess project assignments to better match developer skills with project needs, potentially increasing productivity by 20%.

By leveraging these insights, Tech Innovations Inc. can streamline their engineering processes and enhance overall efficiency.