Dustella
d9e64e1181
- Simplified skills section: reduced from 15 to 10 items, added performance optimization and toolchain expertise - Refactored project descriptions: focused on business value and key achievements over technical details - Enhanced readability: added bold formatting to highlight key metrics and technologies - Added comprehensive background notes in project files for interview preparation - Created CLAUDE.md for future Claude Code instances Key improvements: - GuiiAI: emphasized hackathon win, early market entry, and engineering challenges - NuistShare: highlighted 10s→0.5s optimization and Lighthouse 97 score - Mihome: stressed sole responsibility for overseas markets and RTL adaptation - Maiqu: showcased team leadership and agile development practices 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
104 lines
5.0 KiB
Markdown
104 lines
5.0 KiB
Markdown
# CLAUDE.md
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This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
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## Project Overview
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This is a personal CV/resume repository using Typst, a modern typesetting system. The project uses the `brilliant-cv` template (v3.1.2) to generate professional CVs in multiple languages (primarily Chinese with English support).
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**Beyond CV generation**, this repository also serves as a workspace for career planning and job search preparation, including interview retrospectives, career reflection documents, and job hunting strategy materials.
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## Build Commands
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### Generate PDF
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```bash
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typst compile cv.typ
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```
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This compiles the main CV file and outputs `cv.pdf`.
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### Generate AI Prompt (if Python is available)
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```bash
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python decorate_prompt.py
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# or
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python3 decorate_prompt.py
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```
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This script reads `prompt.md` and injects CV content from the `modules_zh` directory (note: the script references `modules_zh` but the actual directory is `zh/`), generating a final prompt file in `./dist/final_prompt.md`.
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## Project Structure
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### Core Files
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- `cv.typ` - Main entry point that imports all CV modules
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- `metadata.toml` - Configuration file containing personal info, layout settings, fonts, and language-specific content
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- `prompt.md` - Template for AI interview preparation prompts
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- `decorate_prompt.py` - Script to generate interview preparation materials
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### Content Directories
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- `zh/` - Chinese language CV modules (education, skills, career, projects, activity, achievements)
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- `src/` - Assets directory containing avatar photo, logos, and signature
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- `src/projects/` - Individual project description files
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### Module Files (in `zh/`)
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- `education.typ` - Educational background
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- `skills.typ` - Technical skills organized by category (Full-stack Development, Data Analysis & Deep Learning, Other)
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- `career.typ` - Work experience
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- `projects.typ` - Project experience (includes individual project files from `projects/` subdirectory)
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- `activity.typ` - Activities and community involvement
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- `achievements.typ` - Awards and achievements
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## Architecture Notes
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### Typst Module System
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The CV uses a modular architecture where `cv.typ` imports the `brilliant-cv` template and then includes individual module files using the `importModules` function. Each module file:
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1. Imports necessary components from `brilliant-cv` (`cvEntry`, `cvSection`, etc.)
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2. Loads metadata from `../metadata.toml`
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3. Defines its content using the template's components
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### Metadata Configuration
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The `metadata.toml` file controls:
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- Language selection (currently set to "zh")
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- Layout settings (colors, spacing, fonts, header/footer alignment)
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- Personal information and contact details
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- Language-specific text (header quotes, footer text)
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- Feature flags (AI prompt injection, keyword injection)
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### Project Files Organization
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Project descriptions are split into individual files under `zh/projects/` (e.g., `guiiai.typ`, `nuistshare.typ`, `maiqu.typ`, `mihome.typ`) and included in `zh/projects.typ` using `#include` statements.
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### Bilingual Support
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The repository maintains both Chinese (`zh/`) and English content structures, though the primary language is Chinese. The `metadata.toml` supports multiple languages (en, fr, zh, it) with language-specific quotes and footer text.
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## Important Context
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This CV is for a graduate student (Hanwen Yu / 余翰文) with experience in:
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- Full-stack development (Vue, React Native, TypeScript, Python)
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- Data analysis and deep learning (PyTorch, Pandas, computer vision)
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- Internships at Xiaomi, Maiqu, and Haiweisi
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The `prompt.md` file contains interview preparation context noting specific weaknesses in algorithm questions, React knowledge, and the GuiiAI project's limitations.
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## File Modification Guidelines
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When editing CV content:
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1. Modify the appropriate module file in `zh/` directory
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2. For project changes, edit individual files in `zh/projects/`
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3. For personal info or layout changes, edit `metadata.toml`
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4. After changes, recompile with `typst compile cv.typ` to generate updated PDF
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When adding new projects:
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1. Create a new `.typ` file in `zh/projects/`
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2. Add an `#include` statement in `zh/projects.typ`
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3. Follow the existing format using `cvEntry` component with logo, title, society, date, location, and description
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## Career Planning and Job Search Support
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This repository is also used for career planning and job search preparation beyond CV generation. When working on career-related tasks:
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- Career retrospective documents may be created to analyze interview experiences and identify areas for improvement
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- Job search strategy materials and preparation notes may be stored here
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- Interview preparation content is already present in `prompt.md`, which outlines specific technical weaknesses and interview challenges
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- Documents may be in Chinese or English depending on context
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When assisting with career planning tasks, consider the context from `prompt.md` which identifies key areas needing attention: algorithm practice, React/JavaScript fundamentals, and project deep-dive preparation.
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