Analyze weekly L1 context records and generate L2 behavior candidates.
npx skills add https://github.com/cocyuhao/my-ai-skills-library --skill mem-weekly-cocyuhao
Please help me install this Agent Skill. Skill: mem-weekly Source: https://github.com/cocyuhao/my-ai-skills-library/tree/main/mem-weekly Command: npx skills add https://github.com/cocyuhao/my-ai-skills-library --skill mem-weekly-cocyuhao
本 Skill 提供一个自动化的周复盘工作流，用于从本周的情境记录中识别重复模式并将其提炼到 L2 行动层，帮助用户高效地总结与改进行为。
直接在应用中触发“周复盘”，系统将按流程扫描、分析并给出候选清单以供确认。
High-intent search queries and answers about installing and using this skill.
Automated weekly review scans your daily L1 context records to identify recurring patterns, generating actionable L2 behavior candidates. It uses a deterministic workflow with pre-scan steps, candidate generation, and structured updates to streamline retrospective analysis.
Pattern detection identifies recurring behaviors or preferences appearing three or more times within your weekly L1 context records. It generates a candidate list for user confirmation, ensuring accuracy before finalizing structured L2 behavior updates.
Yes, the weekly review workflow requires user confirmation before finalizing changes to L2 behavior candidates. This prevents automated misjudgments and ensures deterministic updates align with your actual observed patterns.
Periodic retrospectives work by reading your daily L1 context records, statistically identifying recurring patterns, and outputting a structured candidate list. You then confirm these candidates to update your L2 behavior layer.
Yes, the weekly review workflow operates independently without external dependencies. It uses a deterministic internal process to scan L1 records, generate behavior pattern candidates, and apply confirmed L2 updates.
Avoid automated pattern extraction when your daily L1 context records lack sufficient recurring behaviors, as the system requires patterns appearing three or more times to generate meaningful L2 behavior candidates.
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