Analyze weekly memory records and extract recurring behavior patterns for L2 promotion.
npx skills add https://github.com/SpaceZephyr/myskill --skill mem-weekly-spacezephyr
Please help me install this Agent Skill. Skill: mem-weekly Source: https://github.com/SpaceZephyr/myskill/tree/main/mem-weekly Command: npx skills add https://github.com/SpaceZephyr/myskill --skill mem-weekly-spacezephyr
This Skill helps turn scattered weekly memory notes into clear, reusable behavior patterns so a personal AI memory system can identify what repeats, what matters, and what should be promoted from situation-level records into behavior-level memory.
When the user says “周复盘”, first scan the week’s modified files, then summarize repeated patterns from the current L1 notes and wait for the user to confirm which ones should be written into L2.
High-intent search queries and answers about installing and using this skill.
To extract behavior patterns from weekly notes, this Skill scans modified L1 situation records, identifies recurring behaviors appearing three or more times, and presents candidate patterns for your confirmation before updating higher-level memory files.
Automating weekly reviews for a personal knowledge base involves synthesizing daily logs into confirmed patterns. This Skill triggers on schedule or request, counts repeated behaviors, and compiles up to five candidate patterns for user review.
Pattern detection for personal memory management works by scanning current-month L1 notes to count repeated behaviors, preferences, and tool choices that appear at least three times, then generating candidates for promotion into a higher-level behavior layer.
Yes, you can modify behavior patterns before they are written to L2 files. The Skill pauses for human confirmation after generating candidates, allowing you to record, ignore, or modify-and-record decisions before any L2 update occurs.
No, you do not need to manually scan files to start a weekly review. When you request a review, the Skill automatically scans recently modified files and synthesizes the week’s notes into a concise set of confirmed behavior insights.
If you ignore a candidate pattern, no changes are made to your L2 behavior files or review logs. The Skill only updates index statistics and higher-level memory layers after you explicitly approve a candidate pattern for recording.
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