mem-query

Retrieves and synthesizes personal memory records from L1-L4 with cited sources.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

帮你从个人记忆系统中快速找到与自己有关的信息,避免在零散的记忆文件里手动翻找,也避免回答时遗漏来源或混淆层级。

Core Features & Use Cases

  • 多层级检索:自动读取记忆索引并搜索 L1-L4 各层文件,适合查询近期经历、长期习惯、思维框架和核心价值观。
  • 引用来源:回答时明确指出信息来自哪些记忆文件,方便核对和追溯。
  • 冲突处理:当不同层级记忆存在矛盾时,帮助识别差异并提示需要确认。
  • 个性化建议:基于历史记录和价值观给出更贴近你的建议,而不是泛泛而谈。

Quick Start

请告诉我你想查询的个人记忆主题,例如“我记忆中关于XX的内容是什么”,我会检索相关层级并给出带来源的回答。

Frequently Asked Questions about mem-query

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

FAQPage Schema
How do I retrieve personal memory records and get answers with cited sources?

To retrieve personal memory records with cited sources, use a memory lookup tool that reads your memory index, searches relevant files, and explicitly references the source files in the final answer.

What is the best way to analyze my behavioral patterns and habits from past memory logs?

Analyzing behavioral patterns and habits requires synthesizing multi-level personal memory records, searching L1-L4 files to identify recurring behaviors, and calibrating the findings against your core values.

How do I handle conflicting information when searching through multi-level personal memory files?

Handling conflicting information in multi-level personal memory files involves identifying contradictions across different record levels, flagging the discrepancies, and prompting for confirmation before proceeding.

Can I get personalized advice grounded in my own history and core values?

Yes, personalized advice can be generated by synthesizing your historical records and core values, ensuring the guidance is grounded in your specific L1-L4 memory context rather than generic suggestions.

Does this memory retrieval approach work for looking up recent context and long-term preferences simultaneously?

Yes, memory retrieval supports looking up recent context and long-term preferences simultaneously by automatically searching across all L1-L4 memory tiers and synthesizing the results into a unified answer.