Cv

Resume — One Source, Many Tailored Resumes

A complete resume management system: structured experience data → AI-tailored LaTeX → PDF.

experiences/  →  /cv generate  →  resume.tex  →  make en  →  output/Name-Title.pdf
   (素材)         (AI 定制化)          (LaTeX源)      (编译)        (输出)

Subcommand Routing

Parse $ARGUMENTS to determine which workflow to run:

• init [text] → Init Workflow
• generate [job title or JD file] or gen [...] → Generate Workflow
• add [description] → Add Experience Workflow
• Empty or unrecognized → Show available subcommands and ask user what they want to do

---

Prerequisites Check

Before any workflow, verify the environment:

1. Check if resume.cls exists in the current working directory. If not, copy from ${CLAUDE_SKILL_DIR}/assets/resume.cls
2. Check if Makefile exists. If not, copy from ${CLAUDE_SKILL_DIR}/assets/Makefile
3. Create directories if missing: experiences/work/, jobs/, output/, .history/
4. Check if xelatex is available: which xelatex. If not, warn the user: "XeLaTeX is required. Install with: brew install --cask mactex"

---

Init Workflow (/cv init [text])

Initialize the experience data library from scratch.

Mode Detection

Based on $ARGUMENTS (after stripping "init"):

1. User pasted large text (resume, work history, LinkedIn export) → Import Mode
2. Empty or short description → Q&A Mode
3. File path provided (PDF/Markdown) → Read file, then Import Mode

Import Mode

1. Parse the provided content, extracting: personal info, education, work history (company, period, department, role, projects, metrics), personal projects, skills, honors
2. Confirm with user — show structured result, ask about missing info or inaccurate metrics
3. Generate files into experiences/:

• profile.md — personal info + education
• work/.md — one file per company
• projects.md — personal projects
• skills.md — skill inventory
• honors.md — honors + quantified metrics

Q&A Mode

Walk through one question at a time. Never ask multiple questions at once.

1. Basic info → name, email, phone, wechat (optional), blog/github (optional) → write experiences/profile.md
2. Education → school, degree, major, period, highlights → append to experiences/profile.md
3. Work history (loop) → company, department, role, period, projects, metrics, tech stack → write experiences/work/.md. After each: "Any more work experience?" Continue or move on.
4. Personal projects → name, link, description, tech stack, highlights → write experiences/projects.md
5. Skills → auto-generate from collected tech stacks, show for confirmation → write experiences/skills.md
6. Honors → extract quantified metrics from work history + user additions → write experiences/honors.md

File Format Reference

profile.md:

---
name: Name / English Name
email: email@example.com
phone: "+86 xxx"
wechat: xxx
blog: https://...
github: https://...
---

## Education

### School · College | Degree (Period)
- Major, highlights

work/\.md:

---
company: Company Name
company_en: English Name
url: https://...
location: City
period: YYYY/MM -- YYYY/MM
department: Department
role: Role
tags: [tag1, tag2, ...]
---

# Project Name
> Timeline | Role

## Background
...

## Key Work
...

## Metrics
...

## Tech Stack
...

Key principles:

• Keep raw details in experiences — trimming happens at generation time
• Tags should cover core tech and business domain keywords
• Metrics must include specific numbers
• One file per company, filename in lowercase English (e.g., bytedance.md)

---

Generate Workflow (/cv generate [target])

Generate a tailored resume for a specific job target.

Step 1: Read All Materials

Read all files:

• experiences/profile.md
• All .md files under experiences/work/
• experiences/projects.md
• experiences/skills.md
• experiences/honors.md

Read ${CLAUDE_SKILL_DIR}/assets/resume-example.tex to understand the LaTeX structure and available commands.

If the argument is a file path, also read that JD file.

Step 2: Analyze Job Requirements

Based on JD or job title, determine:

1. Core technical requirements — what skills matter most
2. Experience priority — which work experiences are most relevant
3. Framing angle — how to present the same experience differently for this role
4. Content selection — include/omit personal projects section, which experiences to trim

Step 3: Present the Plan

Before generating .tex, show the user:

1. Target positioning (one sentence)
2. Content selection (which experiences to include/omit)
3. Key differentiation (how this resume differs from a generic one)

Wait for user confirmation before proceeding.

Step 4: Generate LaTeX

Generate resume.tex following these rules:

1. Use resume.cls commands strictly:

• \name{}, \basicInfo{}, \email{}, \phone{}, \wechat{}, \homepage[]{}
• \section{}, \datedsubsection{}{}, \role{}{}, \rolewithdate{}{}{}
• itemize with [parsep=0.25ex]

1. Keep to 1 page (critical for Chinese version):

• 5-6 sections: positioning, education, work, (projects), skills, honors
• 3-5 bullet points per project
• Trim early internships to 1-2 lines each
• If too long, cut early internships and low-relevance bullets first

1. LaTeX header for Chinese:

``latex \documentclass{resume} \usepackage{xeCJK} \setCJKmainfont{SourceHanSerifSC-Medium} \setCJKsansfont{SourceHanSerifSC-Medium} \setCJKmonofont{SourceHanSerifSC-Medium} `` For English version: remove the three xeCJK lines.

1. Formatting:

• Use \textbf{【keyword】} to mark each bullet's keyword
• Escape: & → \&, % → \%
• Use \href{url}{text} for hyperlinks

Step 5: Build

1. Backup current resume.tex to .history/resume_$(date +%Y%m%d%H%M%S).tex
2. Write generated content to resume.tex
3. Run make en to build PDF
4. Copy PDF to output/ with job-specific name

Step 6: English Version (if requested)

1. Remove xeCJK lines
2. Translate all content to English
3. Build PDF

---

Add Experience Workflow (/cv add [description])

Add or update experience data incrementally.

Step 1: Classify Input

Determine what the user is adding:

• New work experience → create/update experiences/work/*.md
• New personal project → update experiences/projects.md
• New skill → update experiences/skills.md
• New honor/certification → update experiences/honors.md
• Personal info change → update experiences/profile.md

Step 2: Read Existing File

Read the target file to understand current content and format.

Step 3: Update

Apply updates following the file format conventions above. Keep raw details — don't trim prematurely.

Step 4: Confirm

Show the diff to the user, confirm before writing.

Step 5: Remind

After updating: "Experience updated. Run /cv generate [target] to regenerate your resume."

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: deusyu
• Source: deusyu/claude-resume
• License: MIT

Install and usage instructions live in the source repository linked above.