aim-status

Report AI Memory system health, collections, sync, freshness, decay, and feature flags.

41|5|Updated Jan 15, 2026
One-click install
npx skills add https://github.com/Hidden-History/ai-memory --skill aim-status
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: aim-status
Source: https://github.com/Hidden-History/ai-memory/tree/main/.claude/skills/aim-status
Command: npx skills add https://github.com/Hidden-History/ai-memory --skill aim-status

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a comprehensive overview of the AI Memory system's health, operational status, and key performance indicators, ensuring users are aware of its readiness and any potential issues.

Core Features & Use Cases

  • System Health Check: Verifies the operational status of critical services like Qdrant, Embedding, and Monitoring.
  • Collection Status: Reports the number of points and availability of memory collections (code-patterns, conventions, discussions).
  • Sync & Freshness Monitoring: Displays the status of GitHub synchronization and the freshness of stored memories.
  • Decay Distribution: Visualizes the temporal decay score distribution of sampled vectors.
  • Feature Toggles: Shows the current state of key system features like Auto-update, Freshness, GitHub Sync, and Parzival.
  • Use Case: Before starting a critical agent session, run /aim-status to confirm all components are operational and memory is accessible, preventing potential failures due to system downtime.

Quick Start

Run /aim-status to get a full status report of the AI Memory system.

Frequently Asked Questions about aim-status

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

FAQPage Schema
How do I check AI memory system health and Qdrant service status?

To check AI memory system health, run a status report that verifies the operational readiness of critical services like Qdrant, Embedding, and Monitoring, ensuring all components are functioning correctly for agentic memory persistence.

What does AI memory collection statistics reporting include?

AI memory collection statistics reporting includes the number of points and the availability of memory collections such as code-patterns, conventions, and discussions, providing a detailed overview of stored memory data.

How do I monitor GitHub sync status and memory freshness for AI agents?

You can monitor GitHub sync status and memory freshness by generating a status report that displays synchronization status and the freshness of stored memories, helping you diagnose potential operational issues before starting a critical agent session.

Can I visualize temporal decay score distribution of sampled memory vectors?

Yes, you can visualize the temporal decay score distribution of sampled vectors through the status report's decay distribution feature, which helps monitor the lifecycle and relevance of stored memory data over time.

How do I verify feature flags like Auto-update and GitHub Sync for AI memory frameworks?

You can verify feature flags like Auto-update, Freshness, GitHub Sync, and Parzival by checking the system feature toggles within the status report, which shows the current state of key system features.

Why should I run an AI memory health check before starting an agent session?

Running an AI memory health check before starting a critical agent session confirms all components are operational and memory is accessible, preventing potential failures due to system downtime or synchronization issues.