How do I filter for specific errors or warnings?

You can add keywords like 'failure' or 'warn' to your request (e.g., 'list matrix failures'), and the skill will automatically filter the output to show relevant issues.

Does this skill support different memory scopes?

Yes, it categorizes solution data by scope, allowing you to see which solutions are stored at the global, stack, or repository level.

How do I check the health of the underlying database?

By invoking the skill without specific arguments or by asking for 'matrix status', you will receive a report on the database size and overall health status.

Can I see success rates for my automated solutions?

Yes, the skill includes a 'Top Performers' section that identifies solutions with the highest success rates and provides a breakdown of performance metrics.

What does the Matrix List skill do?

It provides a detailed overview of the Claude Matrix memory system, including statistics, failures, warnings, and solution history to help you manage your AI's accumulated knowledge.

Matrix List

Name: Matrix List
Author: ojowwalker77

byojowwalker77

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Analytics & Monitoring

Visualizes and audits Matrix memory statistics, solutions, and system health within Claude Code.

About

Matrix List provides a comprehensive diagnostic and overview interface for the Claude Matrix tooling system. It allows users to query memory contents, track success/failure rates of automated solutions, and monitor system warnings to ensure the reliability of the 'Claude on Rails' environment. By parsing user arguments, it dynamically switches between high-level statistics, detailed solution logs, and error reporting, making it an essential utility for maintaining a healthy and efficient AI-driven development workflow.

Key Features

Real-time monitoring of recent activity and top-performing automated solutions
81 GitHub stars
Scope-based breakdown of memory contents across global, stack, and repository levels
Comprehensive status reporting including total solutions, failures, and warning counts
Database health and size verification for persistent Matrix memory
Intelligent argument-based filtering for statistics, failures, or warnings

Use Cases

Debugging failed operations by listing specific recorded failures and system warnings
Auditing the success rates of recent AI-generated solutions to identify performance bottlenecks
Monitoring memory usage and database health during large-scale code migrations

About

Key Features

Real-time monitoring of recent activity and top-performing automated solutions
81 GitHub stars
Scope-based breakdown of memory contents across global, stack, and repository levels
Comprehensive status reporting including total solutions, failures, and warning counts
Database health and size verification for persistent Matrix memory
Intelligent argument-based filtering for statistics, failures, or warnings

Use Cases

Debugging failed operations by listing specific recorded failures and system warnings
Auditing the success rates of recent AI-generated solutions to identify performance bottlenecks
Monitoring memory usage and database health during large-scale code migrations