技能列表

Defragment and optimize agent memory files by cleaning duplicates, merging similar entries, archiving stale content, and ensuring proper tiering. Use when: (1) memory files feel cluttered or bloated; (2) before or after context optimization; (3) weekly memory maintenance; (4) when explicitly asked to clean, defragment, or optimize memory.

记忆管理技能 - 三层时间架构 + 三类记忆标签 + 自动搜索 Hook

Structured memory system for AI agents. Use when the user wants to store, recall, or search memories, manage session lifecycle (wake/sleep/checkpoint), sync to Notion, or when the user shares important information that should be remembered (facts, decisions, preferences, lessons, commitments, relationships, projects).

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mem0 本地记忆层完整实现（增强版）。语义记忆存储/检索/管理，WAL 协议，SESSION-STATE，多级记忆（User/Session/Agent）。参考 ZejunCao/bilibili_code Mem0框架解读优化。

Lightweight meeting-notes productivity workflow for turning transcripts or raw meeting notes into clean summaries, extracted key points, and simple action lists. Use when processing meeting transcripts, call notes, workshop notes, or internal sync notes into a clear recap and a basic task list for a free ClawHub edition.

Create, modify, generate, and deploy websites, web apps, dashboards, SaaS products, internal tools, interactive web pages, Weixin mini program , games on the Baidu Medo platform using natural-language instructions.

When the user wants to write, publish, republish, or optimize posts on Medium.com (canonical tags, distribution, Medium SEO). Also use when the user mentions "Medium," "Medium article," "Medium story," "Medium publishing," "canonical Medium," or "publish on Medium." Not for general parasite SEO when Medium is not the target platform—use parasite-seo. For AI search visibility strategy, use generative-engine-optimization.

Compare patient pre-admission medication lists with inpatient orders to automatically identify omitted or duplicated medications and improve medication safety.

Use medication adherence message gen for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries.

Convert medical laboratory values between units (mg/dL to mmol/L, etc.) with formula transparency and clinical reference ranges. Supports glucose, cholesterol, creatinine, and hemoglobin conversions.