Agent skill

insights

Analyze research behavior data — search hot keywords, most-read papers, reading trends, and semantic neighbors you haven't read yet. Use when the user wants to understand their reading habits, discover overlooked papers, or review recent research activity.

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Install this agent skill to your Project

npx add-skill https://github.com/ZimoLiao/scholaraio/tree/main/.claude/skills/insights

SKILL.md

Research Observatory

分析用户的研究行为数据,发现阅读规律和遗漏的相关论文。

执行逻辑

bash
scholaraio insights [--days N]  # 默认分析过去30天

输出内容

  1. 搜索热词 Top 10 — 最常出现在搜索查询中的词
  2. 最常阅读论文 Top 10 — 按 show 命令调用次数统计
  3. 阅读量趋势 — 按周统计的阅读事件数量(ASCII 柱状图)
  4. 推荐邻近论文 — 基于最近7天阅读记录的语义邻居,但尚未阅读过的
  5. 活跃工作区 — 当前工作区及其论文数量

前置条件

需要先累积一定量的使用数据(search、usearch、vsearch 和 show 命令会自动记录事件到 data/metrics.db)。

示例

用户说:"我最近都在看哪些方向的论文?" → 执行 insights --days 30

用户说:"看看我过去一周的阅读记录" → 执行 insights --days 7

用户说:"推荐一些我可能还没读过的相关论文" → 执行 insights --days 14(关注第4项"推荐邻近论文"输出)

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