66 lines
2.2 KiB
Markdown
66 lines
2.2 KiB
Markdown
---
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name: update-mycv
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description: |
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CV pipeline: BibTeX in workspace/myWorks/1_papers/ → sync cv_zh.md & cv_en.md → generate_cv.py → PDFs. Use before grants, applications, or after new .bib entries; keep CN/EN aligned and notation (corresponding author, etc.) per skill body.
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Triggers: update-mycv; 更新简历/CV, 同步论文, BibTeX 进简历, 生成简历 PDF; regenerate CV, sync publications from bib.
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---
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# CV Update（update-mycv）
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Updates CV publications by syncing from BibTeX files and regenerating PDFs.
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## When to Use
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- After adding new papers to BibTeX files
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- When CV needs to be synchronized with publication records
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- Before applying for positions or grants
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- To generate updated PDF versions
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- When recurring CV/bib conventions change, extend this skill or update-mykb-memories so the workflow stays aligned
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## How It Works
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1. Reads BibTeX files from `workspace/myWorks/1_papers/`
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- `first_or_correspondance.bib` - First author or corresponding author papers
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- `coauthored.bib` - Co-authored papers
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2. Compares with current CV entries in `workspace/myWorks/0_cv/cv_zh.md` and `cv_en.md`
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3. Identifies missing or outdated publications
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4. Updates both Chinese and English CV markdown files
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5. Regenerates PDFs using `generate_cv.py`
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## Publication Notation
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- **†** - Student first author
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- **#** - Corresponding author (you)
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- **Lai, Z.** or **赖正首** - Your name in bold
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## Usage
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Simply run this skill. It will:
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1. Scan BibTeX files for all publications
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2. Compare with current CV entries
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3. Show differences (missing papers)
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4. Update CV files upon confirmation
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5. Regenerate PDFs
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## File Locations
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```
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workspace/myWorks/
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├── 0_cv/
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│ ├── cv_zh.md # Chinese CV source
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│ ├── cv_en.md # English CV source
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│ ├── cv_zh.pdf # Generated Chinese PDF
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│ ├── cv_en.pdf # Generated English PDF
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│ └── generate_cv.py # PDF generation script
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└── 1_papers/
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├── first_or_correspondance.bib
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└── coauthored.bib
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```
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## Notes
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- Always backs up original files before updating
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- Communicates changes clearly before making edits
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- Generates both Chinese and English versions simultaneously
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- Uses "#" for corresponding author notation
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