skills.rest
emmahyde
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dashboard

Summarize AI memory system status and performance metrics.

Updated Apr 10, 2026
Search Tags:#monitoring#analytics#dashboard#memory#system health
One-click install
npx skills add https://github.com/emmahyde/memesis --skill dashboard-emmahyde
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dashboard
Source: https://github.com/emmahyde/memesis/tree/main/skills/dashboard
Command: npx skills add https://github.com/emmahyde/memesis --skill dashboard-emmahyde

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a quick, consolidated view of the memory system status, helping users monitor and analyze their AI's memory health and usage patterns efficiently.

Core Features & Use Cases

  • System Monitoring: Displays counts and statuses of memories at different stages and archive candidates.
  • Usage Analysis: Shows most-used memories and thread activity for insight into memory relevance.
  • Performance Tracking: Offers a summary of injection counts and importance trends, facilitating informed decision-making on memory management.
  • Use Case: A developer wants to assess memory health after a session, identifying relevance issues or optimization opportunities via a single dashboard.

Quick Start

Use the dashboard to retrieve a snapshot of your memory system by running /memesis:dashboard in your environment.

Frequently Asked Questions about dashboard

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I monitor AI memory system health and performance metrics?▼

You can monitor AI memory system health by retrieving a consolidated snapshot of memory counts, health metrics, and usage patterns. This dashboard approach helps you review system performance and identify relevance issues efficiently.

What is the best way to analyze memory usage patterns and relevance?▼

The best way to analyze memory usage patterns is to review a summary of most-used memories and thread activity. Tracking injection counts and importance trends facilitates informed decision-making on memory management and optimization opportunities.

Do I need database and relevance modules to compile real-time memory statistics?▼

Yes, you need database and relevance modules to compile real-time memory statistics. The dashboard requires these modules to aggregate system data, display memory statuses, and calculate performance tracking metrics accurately.

Can I assess memory archive candidates and injection counts after a session?▼

Yes, you can assess memory archive candidates and injection counts after a session. The dashboard displays memories at different stages and archive candidates, while offering summaries of injection counts and importance trends for optimization.

Why does my memory system dashboard show relevance issues or optimization opportunities?▼

Your memory system dashboard shows relevance issues by tracking usage patterns, thread activity, and importance trends. Identifying underused memories or archive candidates helps you optimize memory relevance and overall system health.

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