skill-issue audits AI agent skills to identify issues before they impact operations. It benefits operations teams by ensuring AI agents perform optimally. It connects to other AI agent skills and workflows.
git clone https://github.com/krispuckett/skill-issue.gitskill-issue audits AI agent skills to identify issues before they impact operations. It benefits operations teams by ensuring AI agents perform optimally. It connects to other AI agent skills and workflows.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/krispuckett/skill-issueCopy 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.
Audit the following AI agent skill for potential issues. The skill is designed to [DESCRIBE SKILL PURPOSE] in the [INDUSTRY] industry. The skill uses [DATA] and interacts with [RELATED SKILLS]. Identify any potential issues that could impact operations, such as data handling problems, integration issues, or performance bottlenecks.
# AI Agent Skill Audit Report ## Skill Overview **Purpose**: Automates customer support responses in the retail industry **Data Used**: Customer inquiries, product databases, order statuses **Related Skills**: Order processing, inventory management, customer feedback analysis ## Identified Issues - **Data Handling**: Potential privacy concerns with customer data storage - **Integration**: Compatibility issues with legacy inventory management systems - **Performance**: May experience bottlenecks during peak hours due to high query volume ## Recommendations - Implement data encryption for customer information - Develop adapters for legacy system integration - Optimize query handling for peak times ## Risk Assessment - **High Risk**: Data privacy compliance issues - **Medium Risk**: System integration failures - **Low Risk**: Performance degradation during peak hours
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