skill-statsv1.0.0

Development teams using Claude Code or OpenClaw can monitor skill usage to identify redundant or unused skills, optimizing their AI agent's performance. This helps in cleaning up skill installations and focusing on frequently used, high-success-rate tools for better efficiency.

Large organizations deploying AI agents across departments can track skill adoption and success rates to ensure compliance and effective tool usage. This enables IT managers to audit skill deployments, manage licenses, and standardize workflows based on usage data.

Researchers and educators using AI platforms can analyze skill usage patterns to study how different tools are employed in learning or project environments. This supports academic studies on AI tool effectiveness and user behavior in educational settings.

Freelancers and solo developers leveraging AI agents for tasks like coding or content creation can use this skill to monitor which skills are most helpful in their workflows. It aids in personal productivity analysis by identifying top-performing tools and eliminating underused ones.

Offer a cloud-based service that aggregates skill usage data from multiple AI environments, providing advanced analytics dashboards and insights. Revenue is generated through subscription tiers based on data volume and features like predictive recommendations.

Provide consulting services to organizations to analyze their AI skill usage and recommend optimizations for cost savings and efficiency. Revenue comes from project-based fees or retainer models for ongoing monitoring and support.

Develop custom integrations of the skill-stats package into enterprise AI workflows or third-party tools, offering tailored solutions. Revenue is generated through licensing fees for proprietary integrations and development contracts.