academic-cv-builder 是做什么的？
格式化适用于学术职位的简历，包含出版物、科研经费和教学经历
格式化适用于学术职位的简历，包含出版物、科研经费和教学经历
该技能专为学术求职场景设计，可帮助用户将简历内容格式化为符合学术标准的CV。它支持自动解析和排版出版物列表、科研项目（含经费信息）、教学经历、学术报告及荣誉奖项等核心模块。用户可通过指定输入文本（如个人履历、论文列表）直接生成结构化CV，也可干预输出格式（如字体、分页）。兼容常见AI编码助手（如Claude Code、Cursor）的流水线调用。核心价值在于节省手动排版时间，确保格式一致性与学术规范性。
npx skills add https://github.com/paramchoudhary/resumeskills/tree/main/skills/academic-cv-builderInstalled? Explore more 研究与数据分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
格式化适用于学术职位的简历，包含出版物、科研经费和教学经历
This repo contains 19 individual skills — each has its own dedicated page.
Translate skills from one industry to another, identify transferable skills
Create personalized, compelling cover letters from resume and job description
Balance visual design with ATS compatibility for creative roles
Create C-suite and VP level resumes emphasizing strategic leadership
Generate STAR stories, practice questions, and talking points from resume
Analyze job postings, calculate match scores, identify gaps, and create application strategy
Optimize LinkedIn profile for searchability, recruiter visibility, and engagement
Compare multiple job offers side-by-side with total compensation analysis
Transform resume bullets into detailed portfolio case studies
Format professional references properly and prepare reference materials
Optimize resumes for Applicant Tracking Systems, check ATS compatibility, and analyze keyword match
Transform weak resume bullets into achievement-focused statements with metrics and impact
Ensure ATS-friendly formatting and create clean scannable layouts
Find opportunities to add metrics and estimate numbers when exact data unavailable
Create targeted resume sections optimized for different experience levels and roles
Customize resume for specific job postings while maintaining truthfulness
Track different resume versions, maintain master resume, manage tailored versions
Research market rates, build negotiation strategy, and create counter-offer scripts
Optimize resumes for software engineering, PM, and technical roles
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.