Weekly Reflect

Consolidate agent memory by reviewing logs and pruning stale entries.

6|2|Updated May 21, 2026

Search Tags:#memory #log analysis #weekly review #agent maintenance #skill health #knowledge pruning

Ready to run

npx skills add https://github.com/anajuliabit/aeon --skill weekly-reflect-anajuliabit

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Weekly Reflect
Source: https://github.com/anajuliabit/aeon/tree/main/skills/reflect
Command: npx skills add https://github.com/anajuliabit/aeon --skill weekly-reflect-anajuliabit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill prevents long-term memory from becoming stale or noisy by reviewing recent activity and pruning outdated entries.

Core Features & Use Cases

Memory consolidation: Reviews memory/MEMORY.md, the last 7 days of run logs in memory/logs/, and recent articles in articles/ to extract patterns and outcomes.
Ruthless pruning and reorganization: Updates MEMORY.md into a short index and moves detailed notes into memory/topics/ for quick navigation and sustained relevance.
Skill health awareness: Reads memory/skill-health/*.json to identify declining quality trends or persistent flags and records them into the appropriate topic file.

Quick Start

Run the Weekly Reflect Skill for the entire agent memory by leaving the area-of-focus variable unset.

Frequently Asked Questions about Weekly Reflect

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

FAQPage Schema

How do I prune stale entries from agent long-term memory?▼

To prune stale entries from agent memory, run a review of recent activity logs and articles to consolidate patterns, then move outdated notes into specific topic files and reduce the main memory index to a short summary.

What is the best way to consolidate agent memory from weekly run logs?▼

Consolidating agent memory from weekly run logs involves scanning the last 7 days of activity to extract patterns and outcomes, then merging those insights into refreshed topic notes and recording actions in a daily log file.

How does memory log analysis work for agent maintenance?▼

Memory log analysis for maintenance works by reading recent run logs and skill health metrics to identify declining quality trends, extracting outcomes, and reorganizing detailed notes into topic-specific files for quick navigation.

Can I focus memory knowledge pruning on a specific topic area?▼

Yes, you can focus knowledge pruning on a specific topic area by setting the area-of-focus variable, which restricts the memory consolidation and log review processes to that targeted domain instead of the entire agent memory.

Do I need existing memory directories to run a weekly review?▼

You need existing memory directories like memory/MEMORY.md, memory/logs/, and articles/ available for scanning. The review reads these paths to extract recent activity and update memory/topics/ with refreshed notes.

When should I not use a weekly review for agent memory?▼

You should avoid a weekly review if your agent lacks at least 7 days of accumulated run logs or articles, as the process depends on scanning recent activity to identify patterns and prune outdated information.