get-shit-done

🥇Gold

Meta-prompting and context engineering system for Claude Code and OpenCode. Helps operations teams maintain context quality, reduce errors, and improve efficiency in AI-driven workflows. Integrates with JavaScript-based tools and workflows.

11,4959210Updated 1w ago

Intermediate30min to implementautomation

Saves ~180 min per use

Quick InstallView Source

git clone https://github.com/glittercowboy/get-shit-done.git

Works with:

Claude

Overview

About This Skill

https://github.com/glittercowboy/get-shit-done

Use Cases

Automate the creation of project specifications and roadmaps based on user-defined goals.

Facilitate the generation of code snippets by providing clear context and requirements.

Streamline the planning and implementation of new features in existing projects.

Enable rapid prototyping by allowing users to describe their ideas and receive structured outputs.

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/glittercowboy/get-shit-done

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

Help me [DESCRIBE_TASK] for my [COMPANY] in the [INDUSTRY] sector. I have the following data: [DATA]. Please provide a structured plan to get this done efficiently.

Example Output

## Project Overview
To enhance our customer service response time, we will implement a new chatbot system.

### Steps to Implement
1. **Research**: Analyze existing chatbot solutions and their performance metrics.
2. **Select Platform**: Choose a platform that integrates well with our CRM.
3. **Develop**: Create the chatbot using the selected platform, focusing on FAQs.
4. **Test**: Conduct user testing to ensure effectiveness.
5. **Launch**: Deploy the chatbot and monitor its performance.

### Expected Outcomes
- Improved response time by 50%.
- Enhanced customer satisfaction ratings.
- Reduced workload on customer service representatives.