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TwinMind Observability and Health Monitoring
twinmind-observability
jeremylongshore/claude-code-plugins-plus-skills
272
Provides comprehensive observability for the TwinMind AI meeting system. This skill allows users to monitor critical performance metrics, including transcription quality (using Ear-3 model), meeting coverage, action item extraction accuracy, and memory vault health. It is essential for implementing robust, enterprise-grade AI workflows and managing the operational status of advanced meeting AI applications.
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Memory Health Status Dashboard
memory-status
alirezarezvani/claude-skills
272
This tool provides a comprehensive overview of your project's memory usage across all associated memory systems. It reports metrics such as line counts, topic file counts, capacity limits, stale entries, and actionable recommendations to help maintain memory integrity and optimize performance.
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