mem-weekly

Analyze weekly L1 memory records to extract recurring patterns into L2 behaviors.

333|83|Updated Jan 9, 2026
One-click install
npx skills add https://github.com/zephyrwang6/myskill --skill mem-weekly
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mem-weekly
Source: https://github.com/zephyrwang6/myskill/tree/main/mem-weekly
Command: npx skills add https://github.com/zephyrwang6/myskill --skill mem-weekly

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AI个人记忆系统的周复盘功能可以从本周的 L1 情境层记录中自动识别重复模式,提炼为 L2 行为层,使你更高效地总结和优化行为。

Core Features & Use Cases

  • 自动周复盘:分析本周 L1 记录,统计重复出现的行为/偏好(3 次以上),生成待提炼的候选清单。
  • 提炼与更新:在用户确认后,将候选项更新到 L2 行为层,便于长期追踪。
  • 与 Obsidian 集成:通过 AI_MEMORY/L1_情境层读取本周记录,输出可直接追加到 L2 的条目。

Quick Start

当你需要进行周复盘时,直接说出 "周复盘" 并确保已运行 mem-file-scan 以补充 L1 记录。Skill 将自动完成扫描、识别、候选生成、等待确认并更新 L2。

Frequently Asked Questions about mem-weekly

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

FAQPage Schema
How do I extract recurring patterns from my weekly notes?

Pattern detection identifies behaviors and preferences appearing 3+ times in your weekly L1 records, automatically generating a candidate list for behavior extraction during your weekly recap.

Can I automate weekly behavior analysis from my notes?

Yes. The skill scans your L1_情境层 weekly records, detects repeated patterns, and distills them into actionable L2 behaviors upon your request or scheduled review.

How do I turn L1 memory records into L2 behavior insights?

Run a weekly recap to scan L1 entries, extract patterns appearing 3+ times, review candidate behaviors, confirm selections, and automatically update your L2 behavior layer for long-term tracking.

Does this work with Obsidian note storage?

Yes. The skill integrates with Obsidian by reading from AI_MEMORY/L1_情境层, identifying patterns in your weekly notes, and outputting entries directly appendable to your L2 behavior file.

What preparation is needed before running a weekly recap?

Run mem-file-scan first to populate your L1 records for the current week, then trigger the weekly recap to automatically identify patterns and generate behavior candidates.