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.
git clone https://github.com/MassLab-SII/open-agent-skills.gitWe 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.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/MassLab-SII/open-agent-skillsCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
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.
# 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.
Automate invoicing and financial reporting for streamlined business management.
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