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memory
Two-layer memory system with grep-based recall.
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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Two-layer memory system with grep-based recall.
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。
基于 SOC 职业分类
Analyze chat attachments (images, PDF, Word, PowerPoint, Excel/CSV/TXT) using MCP document/image tools and built-in file reading, then return concise findings plus recommended next steps.
在聊天中通过 claude_code 工具控制服务器里的 Claude Code(tmux 会话模式)
Search and install agent skills from ClawHub, the public skill registry.
Schedule reminders and recurring tasks.
Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries.
Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).
| name | memory |
| description | Two-layer memory system with grep-based recall. |
| always | true |
| category | core |
| lang | en |
memory/MEMORY.md — Long-term facts (preferences, project context, relationships). Always loaded into your context.memory/HISTORY.md — Append-only event log. NOT loaded into context. Search it with grep.grep -i "keyword" memory/HISTORY.md
Use the exec tool to run grep. Combine patterns: grep -iE "meeting|deadline" memory/HISTORY.md
Write important facts immediately using edit_file or write_file:
Old conversations are automatically summarized and appended to HISTORY.md when the session grows large. Long-term facts are extracted to MEMORY.md. You don't need to manage this.