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+---
+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