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diff --git a/.agents/skills/daily-paper-generator/SKILL.md b/.agents/skills/daily-paper-generator/SKILL.md new file mode 100644 index 0000000..bdc8254 --- /dev/null +++ b/.agents/skills/daily-paper-generator/SKILL.md @@ -0,0 +1,273 @@ +--- +name: daily-paper-generator +description: Use when the user asks to "generate daily paper", "search arXiv for EEG papers", "find EEG decoding papers", "review brain-computer interface papers", or wants to create paper summaries for EEG/brain decoding/speech decoding research. This skill automates searching arXiv for recent papers on EEG decoding, EEG speech decoding, or brain foundation models, reviewing paper quality, and generating structured Chinese/English summaries. +version: 0.4.0 +--- + +# Daily Paper Generator + +## Overview + +Automate the workflow of discovering, reviewing, and summarizing recent research papers on arXiv related to EEG decoding, brain-computer interfaces, and neural foundation models. + +**Core workflow:** +1. Search arXiv for recent papers (within 3 months) using Chrome browser +2. Retrieve paper metadata from arXiv pages +3. Evaluate paper quality using structured criteria +4. Select top 3 papers +5. Generate structured summaries with Chinese and English reviews +6. Save results as Markdown files in `daily paper/` directory + +## When to Use + +Use this skill when: +- User asks to "generate daily paper" or "find recent EEG papers" +- User wants to discover research on EEG decoding, speech decoding from EEG, or brain foundation models +- User needs paper reviews with both Chinese and English summaries +- User wants to track recent arXiv publications in neuro/AI intersection + +## Output Format + +Each paper summary follows this structure (see `example/daily paper example.md` for complete example): + +### 1. Header Section +```markdown +# Paper Title + +## 作者及单位 +Author list +Institution + +## arXiv 链接 +https://arxiv.org/abs/ARXIV_ID + +**发表日期**: YYYY-MM-DD +**arXiv ID**: XXXX.XXXXX +**分类**: cs.LG, q-bio.NC, eess.SP +``` + +### 2. Review Sections + +**中文评语** (~300 words): +- Background (1-2 sentences): Research context and importance +- Challenges (2-3 sentences): Problems with existing methods +- Contribution (1-2 sentences): Core contribution of this work +- Method (2-3 sentences): Key technical details +- Results (2-3 sentences): Main findings and metrics +- Analysis & Limitations (1-2 sentences): Significance and limitations + +**English Review** (fluent academic English): +- Concise summary following the same structure as Chinese review +- Use natural academic prose (avoid AI-like patterns) +- Apply scientific writing best practices + +### 3. Main Figure Section +```markdown +## 主图 +[预留论文主图位置] +``` + +### 4. Metadata Table +```markdown +## 论文元数据 + +| 项目 | 内容 | +|------|------| +| **标题** | Paper Title | +| **第一作者** | First Author Name | +| **作者列表** | Full author list | +| **第一作者单位** | Institution | +| **发表日期** | YYYY-MM-DD | +| **arXiv 链接** | https://arxiv.org/abs/ID | +| **PDF 链接** | https://arxiv.org/pdf/ID | +| **分类** | cs.LG, q-bio.NC, eess.SP | +``` + +### 5. Integrated Format (for publishing) +```markdown +## 整合格式 + +Daily Paper MMDD + +Paper Title + +https://arxiv.org/abs/ARXIV_ID + +[Chinese Review] + +[English Review] +``` + +### 6. Appendix +```markdown +## 附录 + +**github连接：** [Available/Not Available] + +**补充说明** + +[Key insights, impact points] + +**Sources:** +- [arXiv Abstract](URL) +- [arXiv HTML](URL) +- [Paperverse Review](URL) (if available) +``` + +## Quick Reference + +| Task | Method | +|------|--------| +| Search arXiv | Use Chrome MCP tools (chrome-mcp-helper) | +| Get paper details | Navigate to arXiv pages and extract metadata | +| Evaluate quality | Use criteria in `references/quality-criteria.md` | +| Write Chinese review | Follow style in `references/writing-style.md` | +| Write English review | Apply scientific-writing skill best practices | +| Create output | Use template in `example/daily paper example.md` | + +## Workflow + +### Step 1: Search arXiv Using Chrome + +**Search keywords** (see `references/keywords.md` for full list): +- EEG decoding: `EEG decoding`, `brain decoding`, `neural decoding` +- Speech decoding: `speech decoding from EEG`, `EEG speech reconstruction` +- Foundation models: `EEG foundation model`, `large EEG model`, `brain foundation model` + +**Method: Use Chrome browser with arXiv search** + +1. **Navigate to arXiv search** using Chrome MCP tools: + - URL: `https://arxiv.org/search/` + - Add search parameters: `?searchtype=all&query=KEYWORDS&abstracts=show&order=-announced_date_first` + +2. **Search URL pattern**: + ``` + https://arxiv.org/search/?searchtype=all&query=EEG+decoding&abstracts=show&order=-announced_date_first + https://arxiv.org/search/?searchtype=all&query=EEG+foundation+model&abstracts=show&order=-announced_date_first + ``` + +3. **Time filtering**: Use date filters or sort by `announced_date_first` to get recent papers + +4. **Extract paper information** from search results: + - Paper title + - Authors + - arXiv ID + - Abstract preview + - Publication date + +### Step 2: Retrieve Paper Details + +For each candidate paper, navigate to its arXiv abs page and extract: + +**URL pattern**: `https://arxiv.org/abs/ARXIV_ID` + +**Extract from page**: +- Title (from `<h1>` tag) +- Authors (from `.authors` element) +- Abstract (from `blockquote.abstract`) +- Submission date (from `.dateline`) +- arXiv ID (from URL or page) +- Categories (from `.subjects`) +- Comments (if present) +- First author institution (if available in comments or author affiliations) + +### Step 3: Evaluate Paper Quality + +Review each paper using the 5-dimension criteria in `references/quality-criteria.md`: + +| Dimension | Weight | Key Points | +|-----------|--------|------------| +| Innovation | 30% | Novelty of contribution | +| Method Completeness | 25% | Clarity and reproducibility | +| Experimental Thoroughness | 25% | Validation depth | +| Writing Quality | 10% | Clarity of expression | +| Relevance & Impact | 10% | Domain importance | + +**Scoring:** Rate each dimension 1-5, calculate weighted sum. + +**Process:** +1. Screen by title/abstract for relevance +2. Navigate to full paper page for detailed review +3. Score each dimension +4. Rank by total score +5. Select top 3 + +### Step 4: Generate Paper Summaries + +For each selected paper, create a summary following the structure in `example/daily paper example.md`: + +**Required sections:** +1. Title (H1 heading) +2. 作者及单位 (Authors and Institution) +3. arXiv 链接 (with metadata: date, ID, categories) +4. 中文评语 (Chinese review, ~300 words) +5. English Review (fluent academic English) +6. 主图 (placeholder for main figure) +7. 论文元数据 (metadata table) +8. 整合格式 (integrated format for publishing) +9. 附录 (appendix with github link,补充说明, sources) + +**Writing Chinese review** (see `references/writing-style.md`): +- Background: 研究背景和重要性 +- Challenges: 现有方法的不足 +- Contribution: 本工作的核心贡献 +- Method: 关键技术细节 +- Results: 主要发现和指标 +- Analysis & Limitations: 意义和局限性 + +**Writing English review**: +- Apply scientific-writing skill best practices +- Use anti-AI writing principles (natural, varied sentence structure) +- Keep concise and direct +- Avoid formulaic transitions ("furthermore", "moreover", "additionally") + +### Step 5: Save Output + +Create Markdown files in the `daily paper/` directory: + +``` +daily paper/ +├── 2025-01-26-1430-paper-1.md +├── 2025-01-26-1430-paper-2.md +└── 2025-01-26-1430-paper-3.md +``` + +**Filename format:** `YYYY-MM-DD-HHMM-paper-N.md` + +**Important:** 使用时间戳（精确到分钟）避免覆盖之前生成的文件。 + +## Example Output + +See `example/daily paper example.md` for a complete example of the DeeperBrain paper summary with all sections properly formatted. + +## Additional Resources + +### Reference Files + +- **`references/keywords.md`** - Complete search keyword list and arXiv URL patterns +- **`references/quality-criteria.md`** - Detailed 5-dimension evaluation criteria with scoring rubrics +- **`references/writing-style.md`** - Chinese review structure, templates, and example analysis + +### Example Files + +- **`example/daily paper example.md`** - Complete output example with all sections +- **`scripts/arxiv_search.py`** - Legacy Python script (deprecated, use Chrome instead) + +### Chrome MCP Tools + +Use Chrome MCP tools for browser automation: +- **Navigation**: Open arXiv search and paper pages +- **Screenshot**: Capture pages for analysis +- **Tabs**: Manage multiple arXiv pages +- **Content extraction**: Parse paper metadata from HTML + +## Important Notes + +1. **Time range:** Search focuses on papers from the last 3 months (check submission dates) +2. **Link format:** Use arXiv abs page links (https://arxiv.org/abs/ID), not direct PDF links +3. **Review length:** Chinese reviews should be approximately 300 words +4. **Quality focus:** Prioritize content quality (innovation, method, experiments) over quantitative metrics +5. **Bilingual output:** Both Chinese and English reviews are required for each paper +6. **Chrome required:** This workflow uses Chrome browser automation via MCP tools +7. **Complete format:** Ensure all 9 sections are included in each summary +8. **Consistent naming:** Use Daily Paper MMDD format in integrated section |