paper-summarizer

name	Paper Summarizer
description	"生成论文学习报告：每日总结、每周总结、月度报告、季度报告、年度总结。统计学习进度、分析研究方向、追踪知识积累。"

When to Use

Use this skill when you want to:

• Generate daily learning summary
• Create weekly progress report
• Produce monthly/quarterly/yearly reports
• Track your research progress
• Analyze your learning patterns

Triggers:

• User says "daily summary", "weekly report", "每日总结", "每周报告"
• User mentions "learning progress", "学习进度"
• User asks "what did I learn", "我学了什么"
• User wants to "generate report", "生成报告"

Quick Start

Daily Summary

生成今天的每日总结

Weekly Summary

生成本周学习周报

Monthly Report

生成这个月的月度报告

Manual Run

python {workspace}/PaperVault/scripts/daily-summary.py
python {workspace}/PaperVault/scripts/weekly-summary.py
python {workspace}/PaperVault/scripts/monthly-report.py

Report Types

1. Daily Summary (每日总结)

Time: 20:00 every day

Content:

• Papers read today
• Notes created
• Tags distribution
• Key abstracts
• Learning highlights

Output: {workspace}/PaperVault/reports/daily/YYYY-MM-DD-summary.md

Example:

# 📝 每日学习总结 - 2024-03-25

## 学习概览

| 指标 | 数值 |
|------|------|
| 今日笔记 | 15 篇 |
| 已完成 | 3 篇 |
| 阅读中 | 5 篇 |
| 待阅读 | 7 篇 |

## 标签分布

- **transformer**: 8 篇
- **LLM**: 6 篇
- **agent**: 4 篇

## 今日收获

1. 学习了新的注意力机制
2. 了解了多智能体协作框架
3. 掌握了 RAG 优化技巧

2. Weekly Summary (每周总结)

Time: Thursday 14:00

Content:

• Weekly statistics
• Reading progress
• Knowledge areas covered
• Papers to follow up
• Next week plan

Output: {workspace}/PaperVault/reports/weekly/YYYY-WW.md

3. Monthly Report (月度报告)

Time: Last day of month, 20:00

Content:

• Monthly statistics
• Research direction analysis
• Top papers
• Knowledge growth
• Monthly highlights

Output: {workspace}/PaperVault/reports/monthly/YYYY-MM.md

4. Quarterly Report (季度报告)

Time: End of quarter, 20:00

Content:

• Quarterly overview
• Research trends
• Key achievements
• Skills developed
• Next quarter goals

Output: {workspace}/PaperVault/reports/quarterly/YYYY-QX.md

5. Yearly Report (年度总结)

Time: December 31, 20:00

Content:

• Annual statistics
• Research journey
• Major breakthroughs
• Knowledge map
• Next year plan

Output: {workspace}/PaperVault/reports/yearly/YYYY.md

Statistics Tracked

Papers

• Total papers added
• Papers read vs unread
• Reading completion rate
• Most cited papers

Topics

• Tag distribution
• Hot topics
• Emerging areas
• Topic evolution

Learning

• Notes created
• Concepts learned
• Methods mastered
• Time invested

Report Templates

Daily Summary Template

---
type: daily-summary
date: YYYY-MM-DD
notes_count: X
---

# 📝 每日学习总结 - YYYY-MM-DD

## 学习概览

| 指标 | 数值 |
|------|------|
| 今日笔记 | X 篇 |
| 已完成 | X 篇 |
| 阅读中 | X 篇 |
| 待阅读 | X 篇 |

## 标签分布

- **tag1**: X 篇
- **tag2**: X 篇

## 今日收获

1. 
2. 
3. 

## 明日计划

- [ ] 
- [ ] 

Weekly Summary Template

---
type: weekly-summary
week: YYYY-WW
date_range: YYYY-MM-DD to YYYY-MM-DD
---

# 📊 每周学习总结 - Week WW

## 本周概览

- **新增论文**: X 篇
- **完成阅读**: X 篇
- **笔记数量**: X 篇
- **学习时长**: X 小时

## 重点论文

1. **Paper Title** - 关键发现
2. **Paper Title** - 关键发现

## 知识积累

### 新概念
- 

### 新方法
- 

## 下周计划

- [ ] 
- [ ] 

Advanced Features

Custom Date Range

python weekly-summary.py --start 2024-03-01 --end 2024-03-07

Filter by Tags

python monthly-report.py --tags "transformer,LLM"

Export to PDF

python monthly-report.py --format pdf

Integration with Other Skills

• paper-fetcher: Source of papers
• learning-reflector: Deep reflection on summaries
• pdf-reader: Detailed paper analysis

Troubleshooting

No Data Found

Error: No notes found for this period

Solution: Check your notes are in the correct directory.

Report Generation Failed

Error: Template not found

Solution: Ensure templates exist in templates/ directory.

Best Practices

1. Review Daily: Spend 5 minutes reviewing daily summary
2. Plan Weekly: Use weekly summary to plan next week
3. Reflect Monthly: Monthly report for deep reflection
4. Track Yearly: Yearly summary for long-term trends

Related Skills

• paper-fetcher - Paper retrieval
• learning-reflector - Deep reflection
• pdf-reader - Detailed paper reading