Paper Compass | 论文学习路径、价值评分与阅读路线图 Skills
/paper-compass-learnpath:读论文前,先生成先修学习路径/paper-compass-score:对论文做价值分析和严格评分,帮助你优先筛选值得读的论文/paper-compass-roadmap:给定一个论文文件夹和学习目标,生成多篇论文的阅读顺序路线图
- 支持
arXiv ID、arXiv URL、普通论文 URL、和本地 PDF - 从论文正文里抽取必须先懂的概念,结合
memory.md跳过已掌握内容 - 为每个概念绑定论文章节证据和短引文,并按依赖顺序、难度、时间成本生成学习路径
现有 learnpath 示例报告:
| 论文 | arXiv ID | Venue | 说明 | 报告 |
|---|---|---|---|---|
| ReAct | 2210.03629 | ICLR 2023 | LLM Agent 奠基工作 | ReAct_agent_report.md |
| Vision Transformer (ViT) | 2010.11929 | ICLR 2021 | 70,000+ citations | ViT_report.md |
| Gated Attention | 2505.06708 | NeurIPS 2025 | Best Paper | Gated_Attention_report.md |
| QLoRA | 2305.14314 | NeurIPS 2023 | 10,000+ citations | QLoRA_report.md |
调用方式:
/paper-compass-learnpath <paper-input> [memory=<path/to/memory.md>] [lang=zh|en]示例:
/paper-compass-learnpath 2010.11929
/paper-compass-learnpath ./papers/vit.pdf lang=zh
/paper-compass-learnpath 2305.14314 memory=~/Documents/know/memory.md lang=en- 支持
arXiv ID、arXiv URL、普通论文 URL、和本地 PDF - 根据期刊/会议质量、作者、引用量、技术增量和业界贡献等多维度为论文综合打分
- 会真实抓取同领域相关论文做横向对比,包含近年的论文和经典论文,避免凭空判断
现有 score 示例报告:
| 论文 | 年份 | Venue | 评分 | 说明 | 报告 |
|---|---|---|---|---|---|
| Update or Wait: How to Keep Your Data Fresh | 2017 | IEEE Transactions on Information Theory | 8.4 | AoI 领域奠基性论文价值分析 | Update_or_Wait_AoI_score.md |
| CLIP | 2021 | ICML 2021 | 10.0 | 视觉语言预训练奠基论文价值分析 | CLIP_score.md |
| Segment Anything (SAM) | 2023 | ICCV 2023 | 10.0 | 通用分割基础模型论文价值分析 | SAM_score.md |
| DeepSeekMath (GRPO) | 2024 | arXiv | 7.3 | 数学推理与 GRPO 方法论文价值分析 | DeepSeekMath_GRPO_score.md |
调用方式:
/paper-compass-score <paper-input> [lang=zh|en]示例:
/paper-compass-score 1706.03762
/paper-compass-score https://arxiv.org/abs/2210.03629 lang=zh
/paper-compass-score ./papers/1706.03762.pdf lang=en- 支持论文文件夹路径、自然语言学习目标、可选的
memory.md以及lang=zh|en - 输出一个 Markdown 报告,包含阅读顺序、链路图、每篇论文的定位理由,以及 2-3 篇必要的外部补充论文
- 默认采用“两阶段”流程:先做轻量扫描,只在必要时对 1-2 篇关键论文补充更深阅读
现有 roadmap 示例报告:
| 主题 | 文件夹 | 说明 | 报告 |
|---|---|---|---|
| LoRA 学习路线图 | peft_paper |
从 LoRA 基础到寻找创新点的一条主线 | LoRA_roadmap.md |
示意链路图:
graph TD
P1[LoRA: 低秩适配<br/>2021] --> P2[QLoRA: 4-bit量化<br/>2023]
P1 --> P3[ReLoRA: 高秩训练<br/>2023]
P3 --> P4[FLORA: 随机投影重采样<br/>2024]
P1 -.-> P5[GaLore: 梯度低秩投影<br/>2024]
P4 --> E1[DoRA: 权重分解<br/>2024]
P3 -.-> E1
调用方式:
/paper-compass-roadmap <folder-path> goal="natural-language learning goal" [memory=<path/to/memory.md>] [lang=zh|en]示例:
/paper-compass-roadmap ./papers/moe goal="I want to understand MoE routing, efficient training, and serving tradeoffs" lang=zh
/paper-compass-roadmap ./reading_set goal="Build a solid path into RLHF and GRPO" memory=~/Documents/know/memory.md lang=enmkdir -p ~/.claude/skills/paper-compass-learnpath
mkdir -p ~/.claude/skills/paper-compass-score
mkdir -p ~/.claude/skills/paper-compass-roadmap
git clone https://github.com/cenzihan/paper-compass-skill.git
cp -r paper-compass-skill/skills/paper-compass-learnpath ~/.claude/skills/paper-compass-learnpath
cp -r paper-compass-skill/skills/paper-compass-score ~/.claude/skills/paper-compass-score
cp -r paper-compass-skill/skills/paper-compass-roadmap ~/.claude/skills/paper-compass-roadmap安装后重启 Claude Code,即可调用这三个 skill。
paper-compass/
├── README.md
├── README.en.md
├── CLAUDE.md
├── LICENSE
├── examples/
│ ├── learnpath/
│ ├── score/
│ └── roadmap/
├── papers/
└── skills/
├── paper-compass-learnpath/
│ ├── SKILL.md
│ └── references/
├── paper-compass-score/
│ ├── SKILL.md
│ └── references/
└── paper-compass-roadmap/
├── SKILL.md
└── references/
MIT