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memory-query
Query the personal knowledge base — ask questions about past decisions, meetings, and context
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Query the personal knowledge base — ask questions about past decisions, meetings, and context
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
Ingest Bubbles AI meeting summaries from Gmail into the memory knowledge base
Pull Google Calendar events via MCP tools and extract attendees into the memory-kb contact registry
Manually compile daily logs into knowledge articles and run structural lint
Ingest emails from calendar contacts using Gmail MCP tools — calendar-gated to prevent spam/noise
Ingest recently modified Google Docs into the memory knowledge base with email correlation
Ingest Slack DMs and important channel messages into the memory knowledge base
基于 SOC 职业分类
| name | memory-query |
| description | Query the personal knowledge base — ask questions about past decisions, meetings, and context |
| user_invocable | true |
Ask questions against your compiled knowledge base. The system reads the index, identifies relevant articles, and synthesizes an answer.
When invoked, run:
cd /Users/jesseanglen/Documents/RandomStuff/memory-kb && uv run python scripts/query.py "THE USER'S QUESTION" --file-back
The --file-back flag saves the answer as a Q&A article so the knowledge base compounds with every question.
If the user provides a specific question after the slash command (e.g., /memory-query What did I decide about the auth middleware?), use that as the question.
If no question is provided, ask the user what they want to know.
Display the answer to the user.