open-agent-skills

🥈Silver

We are dedicated to building a set of open agent skills that deliver superior performance, higher determinism, and greater consistency on targeted tasks, while operating at a lower cost and with reduced context usage.

14640Updated Today

Intermediate30min to implementautomation

Saves ~120 min per use

Quick InstallView Source

git clone https://github.com/MassLab-SII/open-agent-skills.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/MassLab-SII/open-agent-skills

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 an open agent skill for [COMPANY] in the [INDUSTRY] sector that automates [SPECIFIC TASK]. The skill should use [DATA] to perform the task efficiently. Ensure it delivers superior performance, higher determinism, and greater consistency while operating at a lower cost and with reduced context usage.

Example Output

# Open Agent Skill: Customer Support Ticket Automation

## Overview
This skill automates the process of categorizing and prioritizing customer support tickets for [COMPANY], a leading tech firm in the software industry. It uses historical ticket data to ensure efficient and consistent performance.

## Features
- **Automated Categorization**: Classifies tickets into predefined categories such as 'Technical Issue', 'Billing Inquiry', 'Feature Request', etc.
- **Priority Assignment**: Assigns priority levels (High, Medium, Low) based on urgency and impact.
- **Efficiency**: Operates at a lower cost and with reduced context usage, ensuring optimal resource utilization.
- **Consistency**: Delivers higher determinism and greater consistency in ticket handling.

## Implementation
The skill is implemented using a combination of natural language processing and machine learning algorithms trained on [COMPANY]'s historical ticket data. It integrates seamlessly with the existing customer support system, reducing manual effort and improving response times.